docs: add more info

docs: update claude code docs heading
mlxrunner: panic on double unpin
2026-04-27 11:15:40 +02:00 · 2026-03-24 13:00:18 -07:00 · 2026-03-24 12:17:03 -07:00 · 2026-03-23 17:44:19 -07:00 · 2026-03-23 17:44:19 -07:00 · 2026-03-23 17:44:19 -07:00
33 changed files with 1138 additions and 229 deletions
--- a/2
+++ b/2
@@ -157,7 +157,7 @@ COPY CMakeLists.txt CMakePresets.json .
 COPY ml/backend/ggml/ggml ml/backend/ggml/ggml
 COPY x/imagegen/mlx x/imagegen/mlx
 COPY go.mod go.sum .
-COPY MLX_VERSION MLX_CORE_VERSION .
+COPY MLX_VERSION MLX_C_VERSION .
 RUN curl -fsSL https://golang.org/dl/go$(awk '/^go/ { print $2 }' go.mod).linux-$(case $(uname -m) in x86_64) echo amd64 ;; aarch64) echo arm64 ;; esac).tar.gz | tar xz -C /usr/local
 ENV PATH=/usr/local/go/bin:$PATH
 RUN go mod download
--- a/1
+++ b/1
@@ -1 +0,0 @@
-v0.30.6
--- a/1
+++ b/1
@@ -0,0 +1 @@
+0726ca922fc902c4c61ef9c27d94132be418e945
--- a/2
+++ b/2
@@ -1 +1 @@
-v0.5.0
+38ad257088fb2193ad47e527cf6534a689f30943
--- a/cmd/launch/openclaw.go
+++ b/cmd/launch/openclaw.go
@@ -80,6 +80,12 @@ func (c *Openclaw) Run(model string, args []string) error {
 		}
 		if canInstallDaemon() {
 			onboardArgs = append(onboardArgs, "--install-daemon")
+		} else {
+			// When we can't install a daemon (e.g. no systemd, sudo dropped
+			// XDG_RUNTIME_DIR, or container environment), skip the gateway
+			// health check so non-interactive onboarding completes. The
+			// gateway is started as a foreground child process after onboarding.
+			onboardArgs = append(onboardArgs, "--skip-health")
 		}
 		cmd := exec.Command(bin, onboardArgs...)
 		cmd.Stdin = os.Stdin
--- a/docs/docs.json
+++ b/docs/docs.json
@@ -160,6 +160,12 @@
            "group": "More information",
            "pages": [
              "/cli",
+              {
+                "group": "Assistant Sandboxing",
+                "pages": [
+                  "/integrations/nemoclaw"
+                ]
+              },
              "/modelfile",
              "/context-length",
              "/linux",
--- a/docs/integrations/claude-code.mdx
+++ b/docs/integrations/claude-code.mdx
@@ -96,6 +96,33 @@ The `/loop` command runs a prompt or slash command on a recurring schedule insid
 /loop 1h Remind me to review the deploy status
 ```

+## Channels 
+
+Chat with Claude Code from Telegram by connecting a bot to your session. Create a bot via [@BotFather](https://t.me/BotFather).
+
+Install the telegram plugin:
+
+```shell
+/plugin install telegram@claude-plugins-official
+```
+
+Configure the token:
+```shell
+/telegram:configure 123456789:ABCdEF...
+```
+
+Launch with Ollama:
+
+```shell
+ollama launch claude -- --channels plugin:telegram@claude-plugins-official
+```
+
+See the [plugin README](https://github.com/anthropics/claude-plugins-official/tree/main/external_plugins/telegram) for full setup instructions including pairing and access control.
+
+Claude Code will prompt for permission on most actions. To allow the bot to work autonomously, configure [permission rules](https://code.claude.com/docs/en/permissions) or pass `--dangerously-skip-permissions` in isolated environments.
+
+Other channels may also be added by following the [Claude Code docs](https://code.claude.com/docs/en/channels-reference). 
+
 ## Manual setup

 Claude Code connects to Ollama using the Anthropic-compatible API.
--- a/docs/integrations/nemoclaw.mdx
+++ b/docs/integrations/nemoclaw.mdx
@@ -0,0 +1,67 @@
+---
+title: NemoClaw
+---
+
+NemoClaw is NVIDIA's open source security stack for [OpenClaw](/integrations/openclaw). It wraps OpenClaw with the NVIDIA OpenShell runtime to provide kernel-level sandboxing, network policy controls, and audit trails for AI agents. 
+
+## Quick start
+
+Pull a model:
+
+```bash
+ollama pull nemotron-3-nano:30b
+```
+
+Run the installer:
+
+```bash
+curl -fsSL https://www.nvidia.com/nemoclaw.sh | \
+  NEMOCLAW_NON_INTERACTIVE=1 \
+  NEMOCLAW_PROVIDER=ollama \
+  NEMOCLAW_MODEL=nemotron-3-nano:30b \
+  bash
+```
+
+Connect to your sandbox:
+
+```bash
+nemoclaw my-assistant connect
+```
+
+Open the TUI:
+
+```bash
+openclaw tui
+```
+
+<Note>Ollama support in NemoClaw is still experimental.</Note>
+
+## Platform support
+
+| Platform | Runtime | Status |
+|----------|---------|--------|
+| Linux (Ubuntu 22.04+) | Docker | Primary |
+| macOS (Apple Silicon) | Colima or Docker Desktop | Supported |
+| Windows | WSL2 with Docker Desktop | Supported |
+
+CMD and PowerShell are not supported on Windows — WSL2 is required.
+
+<Note>Ollama must be installed and running before the installer runs. When running inside WSL2 or a container, ensure Ollama is reachable from the sandbox (e.g. `OLLAMA_HOST=0.0.0.0`).</Note>
+
+## System requirements
+
+- CPU: 4 vCPU minimum
+- RAM: 8 GB minimum (16 GB recommended)
+- Disk: 20 GB free (40 GB recommended for local models)
+- Node.js 20+ and npm 10+
+- Container runtime (Docker preferred)
+
+## Recommended models
+
+- `nemotron-3-super:cloud` — Strong reasoning and coding
+- `qwen3.5:cloud` — 397B; reasoning and code generation
+- `nemotron-3-nano:30b` — Recommended local model; fits in 24 GB VRAM
+- `qwen3.5:27b` — Fast local reasoning (~18 GB VRAM)
+- `glm-4.7-flash` — Reasoning and code generation (~25 GB VRAM)
+
+More models at [ollama.com/search](https://ollama.com/search).
--- a/envconfig/config.go
+++ b/envconfig/config.go
@@ -214,6 +214,8 @@ func LogLevel() slog.Level {
 var (
 	// FlashAttention enables the experimental flash attention feature.
 	FlashAttention = BoolWithDefault("OLLAMA_FLASH_ATTENTION")
+	// DebugLogRequests logs inference requests to disk for replay/debugging.
+	DebugLogRequests = Bool("OLLAMA_DEBUG_LOG_REQUESTS")
 	// KvCacheType is the quantization type for the K/V cache.
 	KvCacheType = String("OLLAMA_KV_CACHE_TYPE")
 	// NoHistory disables readline history.
@@ -302,28 +304,29 @@ type EnvVar struct {

 func AsMap() map[string]EnvVar {
 	ret := map[string]EnvVar{
-		"OLLAMA_DEBUG":             {"OLLAMA_DEBUG", LogLevel(), "Show additional debug information (e.g. OLLAMA_DEBUG=1)"},
-		"OLLAMA_FLASH_ATTENTION":   {"OLLAMA_FLASH_ATTENTION", FlashAttention(false), "Enabled flash attention"},
-		"OLLAMA_KV_CACHE_TYPE":     {"OLLAMA_KV_CACHE_TYPE", KvCacheType(), "Quantization type for the K/V cache (default: f16)"},
-		"OLLAMA_GPU_OVERHEAD":      {"OLLAMA_GPU_OVERHEAD", GpuOverhead(), "Reserve a portion of VRAM per GPU (bytes)"},
-		"OLLAMA_HOST":              {"OLLAMA_HOST", Host(), "IP Address for the ollama server (default 127.0.0.1:11434)"},
-		"OLLAMA_KEEP_ALIVE":        {"OLLAMA_KEEP_ALIVE", KeepAlive(), "The duration that models stay loaded in memory (default \"5m\")"},
-		"OLLAMA_LLM_LIBRARY":       {"OLLAMA_LLM_LIBRARY", LLMLibrary(), "Set LLM library to bypass autodetection"},
-		"OLLAMA_LOAD_TIMEOUT":      {"OLLAMA_LOAD_TIMEOUT", LoadTimeout(), "How long to allow model loads to stall before giving up (default \"5m\")"},
-		"OLLAMA_MAX_LOADED_MODELS": {"OLLAMA_MAX_LOADED_MODELS", MaxRunners(), "Maximum number of loaded models per GPU"},
-		"OLLAMA_MAX_QUEUE":         {"OLLAMA_MAX_QUEUE", MaxQueue(), "Maximum number of queued requests"},
-		"OLLAMA_MODELS":            {"OLLAMA_MODELS", Models(), "The path to the models directory"},
-		"OLLAMA_NO_CLOUD":          {"OLLAMA_NO_CLOUD", NoCloud(), "Disable Ollama cloud features (remote inference and web search)"},
-		"OLLAMA_NOHISTORY":         {"OLLAMA_NOHISTORY", NoHistory(), "Do not preserve readline history"},
-		"OLLAMA_NOPRUNE":           {"OLLAMA_NOPRUNE", NoPrune(), "Do not prune model blobs on startup"},
-		"OLLAMA_NUM_PARALLEL":      {"OLLAMA_NUM_PARALLEL", NumParallel(), "Maximum number of parallel requests"},
-		"OLLAMA_ORIGINS":           {"OLLAMA_ORIGINS", AllowedOrigins(), "A comma separated list of allowed origins"},
-		"OLLAMA_SCHED_SPREAD":      {"OLLAMA_SCHED_SPREAD", SchedSpread(), "Always schedule model across all GPUs"},
-		"OLLAMA_MULTIUSER_CACHE":   {"OLLAMA_MULTIUSER_CACHE", MultiUserCache(), "Optimize prompt caching for multi-user scenarios"},
-		"OLLAMA_CONTEXT_LENGTH":    {"OLLAMA_CONTEXT_LENGTH", ContextLength(), "Context length to use unless otherwise specified (default: 4k/32k/256k based on VRAM)"},
-		"OLLAMA_EDITOR":            {"OLLAMA_EDITOR", Editor(), "Path to editor for interactive prompt editing (Ctrl+G)"},
-		"OLLAMA_NEW_ENGINE":        {"OLLAMA_NEW_ENGINE", NewEngine(), "Enable the new Ollama engine"},
-		"OLLAMA_REMOTES":           {"OLLAMA_REMOTES", Remotes(), "Allowed hosts for remote models (default \"ollama.com\")"},
+		"OLLAMA_DEBUG":              {"OLLAMA_DEBUG", LogLevel(), "Show additional debug information (e.g. OLLAMA_DEBUG=1)"},
+		"OLLAMA_DEBUG_LOG_REQUESTS": {"OLLAMA_DEBUG_LOG_REQUESTS", DebugLogRequests(), "Log inference request bodies and replay curl commands to a temp directory"},
+		"OLLAMA_FLASH_ATTENTION":    {"OLLAMA_FLASH_ATTENTION", FlashAttention(false), "Enabled flash attention"},
+		"OLLAMA_KV_CACHE_TYPE":      {"OLLAMA_KV_CACHE_TYPE", KvCacheType(), "Quantization type for the K/V cache (default: f16)"},
+		"OLLAMA_GPU_OVERHEAD":       {"OLLAMA_GPU_OVERHEAD", GpuOverhead(), "Reserve a portion of VRAM per GPU (bytes)"},
+		"OLLAMA_HOST":               {"OLLAMA_HOST", Host(), "IP Address for the ollama server (default 127.0.0.1:11434)"},
+		"OLLAMA_KEEP_ALIVE":         {"OLLAMA_KEEP_ALIVE", KeepAlive(), "The duration that models stay loaded in memory (default \"5m\")"},
+		"OLLAMA_LLM_LIBRARY":        {"OLLAMA_LLM_LIBRARY", LLMLibrary(), "Set LLM library to bypass autodetection"},
+		"OLLAMA_LOAD_TIMEOUT":       {"OLLAMA_LOAD_TIMEOUT", LoadTimeout(), "How long to allow model loads to stall before giving up (default \"5m\")"},
+		"OLLAMA_MAX_LOADED_MODELS":  {"OLLAMA_MAX_LOADED_MODELS", MaxRunners(), "Maximum number of loaded models per GPU"},
+		"OLLAMA_MAX_QUEUE":          {"OLLAMA_MAX_QUEUE", MaxQueue(), "Maximum number of queued requests"},
+		"OLLAMA_MODELS":             {"OLLAMA_MODELS", Models(), "The path to the models directory"},
+		"OLLAMA_NO_CLOUD":           {"OLLAMA_NO_CLOUD", NoCloud(), "Disable Ollama cloud features (remote inference and web search)"},
+		"OLLAMA_NOHISTORY":          {"OLLAMA_NOHISTORY", NoHistory(), "Do not preserve readline history"},
+		"OLLAMA_NOPRUNE":            {"OLLAMA_NOPRUNE", NoPrune(), "Do not prune model blobs on startup"},
+		"OLLAMA_NUM_PARALLEL":       {"OLLAMA_NUM_PARALLEL", NumParallel(), "Maximum number of parallel requests"},
+		"OLLAMA_ORIGINS":            {"OLLAMA_ORIGINS", AllowedOrigins(), "A comma separated list of allowed origins"},
+		"OLLAMA_SCHED_SPREAD":       {"OLLAMA_SCHED_SPREAD", SchedSpread(), "Always schedule model across all GPUs"},
+		"OLLAMA_MULTIUSER_CACHE":    {"OLLAMA_MULTIUSER_CACHE", MultiUserCache(), "Optimize prompt caching for multi-user scenarios"},
+		"OLLAMA_CONTEXT_LENGTH":     {"OLLAMA_CONTEXT_LENGTH", ContextLength(), "Context length to use unless otherwise specified (default: 4k/32k/256k based on VRAM)"},
+		"OLLAMA_EDITOR":             {"OLLAMA_EDITOR", Editor(), "Path to editor for interactive prompt editing (Ctrl+G)"},
+		"OLLAMA_NEW_ENGINE":         {"OLLAMA_NEW_ENGINE", NewEngine(), "Enable the new Ollama engine"},
+		"OLLAMA_REMOTES":            {"OLLAMA_REMOTES", Remotes(), "Allowed hosts for remote models (default \"ollama.com\")"},

 		// Informational
 		"HTTP_PROXY":  {"HTTP_PROXY", String("HTTP_PROXY")(), "HTTP proxy"},
--- a/llm/server.go
+++ b/llm/server.go
@@ -87,7 +87,8 @@ type LlamaServer interface {
 type llmServer struct {
 	port      int
 	cmd       *exec.Cmd
-	done      chan error // Channel to signal when the process exits
+	done      chan struct{} // closed when the process exits
+	doneErr   error         // valid after done is closed
 	status    *StatusWriter
 	options   api.Options
 	modelPath string
@@ -280,7 +281,7 @@ func NewLlamaServer(systemInfo ml.SystemInfo, gpus []ml.DeviceInfo, modelPath st
 		sem:            semaphore.NewWeighted(int64(numParallel)),
 		totalLayers:    f.KV().BlockCount() + 1,
 		loadStart:      time.Now(),
-		done:           make(chan error, 1),
+		done:           make(chan struct{}),
 	}

 	if err != nil {
@@ -304,10 +305,11 @@ func NewLlamaServer(systemInfo ml.SystemInfo, gpus []ml.DeviceInfo, modelPath st
 			if strings.Contains(s.status.LastErrMsg, "unknown model") {
 				s.status.LastErrMsg = "this model is not supported by your version of Ollama. You may need to upgrade"
 			}
-			s.done <- errors.New(s.status.LastErrMsg)
+			s.doneErr = errors.New(s.status.LastErrMsg)
 		} else {
-			s.done <- err
+			s.doneErr = err
 		}
+		close(s.done)
 	}()

 	if tok != nil {
@@ -1356,8 +1358,8 @@ func (s *llmServer) WaitUntilRunning(ctx context.Context) error {
 		case <-ctx.Done():
 			slog.Warn("client connection closed before server finished loading, aborting load")
 			return fmt.Errorf("timed out waiting for llama runner to start: %w", ctx.Err())
-		case err := <-s.done:
-			return fmt.Errorf("llama runner process has terminated: %w", err)
+		case <-s.done:
+			return fmt.Errorf("llama runner process has terminated: %w", s.doneErr)
 		default:
 		}
 		if time.Now().After(stallTimer) {
--- a/server/inference_request_log.go
+++ b/server/inference_request_log.go
@@ -0,0 +1,144 @@
+package server
+
+import (
+	"bytes"
+	"fmt"
+	"io"
+	"log/slog"
+	"os"
+	"path/filepath"
+	"strings"
+	"sync/atomic"
+	"time"
+
+	"github.com/gin-gonic/gin"
+
+	"github.com/ollama/ollama/envconfig"
+)
+
+type inferenceRequestLogger struct {
+	dir     string
+	counter uint64
+}
+
+func newInferenceRequestLogger() (*inferenceRequestLogger, error) {
+	dir, err := os.MkdirTemp("", "ollama-request-logs-*")
+	if err != nil {
+		return nil, err
+	}
+
+	return &inferenceRequestLogger{dir: dir}, nil
+}
+
+func (s *Server) initRequestLogging() error {
+	if !envconfig.DebugLogRequests() {
+		return nil
+	}
+
+	requestLogger, err := newInferenceRequestLogger()
+	if err != nil {
+		return fmt.Errorf("enable OLLAMA_DEBUG_LOG_REQUESTS: %w", err)
+	}
+
+	s.requestLogger = requestLogger
+	slog.Info(fmt.Sprintf("request debug logging enabled; inference request logs will be stored in %s and include request bodies and replay curl commands", requestLogger.dir))
+
+	return nil
+}
+
+func (s *Server) withInferenceRequestLogging(route string, handlers ...gin.HandlerFunc) []gin.HandlerFunc {
+	if s.requestLogger == nil {
+		return handlers
+	}
+
+	return append([]gin.HandlerFunc{s.requestLogger.middleware(route)}, handlers...)
+}
+
+func (l *inferenceRequestLogger) middleware(route string) gin.HandlerFunc {
+	return func(c *gin.Context) {
+		if c.Request == nil {
+			c.Next()
+			return
+		}
+
+		method := c.Request.Method
+		host := c.Request.Host
+		scheme := "http"
+		if c.Request.TLS != nil {
+			scheme = "https"
+		}
+		contentType := c.GetHeader("Content-Type")
+
+		var body []byte
+		if c.Request.Body != nil {
+			var err error
+			body, err = io.ReadAll(c.Request.Body)
+			c.Request.Body = io.NopCloser(bytes.NewReader(body))
+			if err != nil {
+				slog.Warn("failed to read request body for debug logging", "route", route, "error", err)
+			}
+		}
+
+		c.Next()
+		l.log(route, method, scheme, host, contentType, body)
+	}
+}
+
+func (l *inferenceRequestLogger) log(route, method, scheme, host, contentType string, body []byte) {
+	if l == nil || l.dir == "" {
+		return
+	}
+
+	if contentType == "" {
+		contentType = "application/json"
+	}
+	if host == "" || scheme == "" {
+		base := envconfig.Host()
+		if host == "" {
+			host = base.Host
+		}
+		if scheme == "" {
+			scheme = base.Scheme
+		}
+	}
+
+	routeForFilename := sanitizeRouteForFilename(route)
+	timestamp := fmt.Sprintf("%s-%06d", time.Now().UTC().Format("20060102T150405.000000000Z"), atomic.AddUint64(&l.counter, 1))
+	bodyFilename := fmt.Sprintf("%s_%s_body.json", timestamp, routeForFilename)
+	curlFilename := fmt.Sprintf("%s_%s_request.sh", timestamp, routeForFilename)
+	bodyPath := filepath.Join(l.dir, bodyFilename)
+	curlPath := filepath.Join(l.dir, curlFilename)
+
+	if err := os.WriteFile(bodyPath, body, 0o600); err != nil {
+		slog.Warn("failed to write debug request body", "route", route, "error", err)
+		return
+	}
+
+	url := fmt.Sprintf("%s://%s%s", scheme, host, route)
+	curl := fmt.Sprintf("#!/bin/sh\nSCRIPT_DIR=\"$(CDPATH= cd -- \"$(dirname -- \"$0\")\" && pwd)\"\ncurl --request %s --url %q --header %q --data-binary @\"${SCRIPT_DIR}/%s\"\n", method, url, "Content-Type: "+contentType, bodyFilename)
+	if err := os.WriteFile(curlPath, []byte(curl), 0o600); err != nil {
+		slog.Warn("failed to write debug request replay command", "route", route, "error", err)
+		return
+	}
+
+	slog.Info(fmt.Sprintf("logged to %s, replay using curl with `sh %s`", bodyPath, curlPath))
+}
+
+func sanitizeRouteForFilename(route string) string {
+	route = strings.TrimPrefix(route, "/")
+	if route == "" {
+		return "root"
+	}
+
+	var b strings.Builder
+	b.Grow(len(route))
+	for _, r := range route {
+		if ('a' <= r && r <= 'z') || ('A' <= r && r <= 'Z') || ('0' <= r && r <= '9') {
+			b.WriteRune(r)
+		} else {
+			b.WriteByte('_')
+		}
+	}
+
+	return b.String()
+}
--- a/server/routes.go
+++ b/server/routes.go
@@ -100,6 +100,7 @@ type Server struct {
 	addr          net.Addr
 	sched         *Scheduler
 	defaultNumCtx int
+	requestLogger *inferenceRequestLogger
 }

 func init() {
@@ -1686,26 +1687,26 @@ func (s *Server) GenerateRoutes(rc *ollama.Registry) (http.Handler, error) {

 	// Inference
 	r.GET("/api/ps", s.PsHandler)
-	r.POST("/api/generate", s.GenerateHandler)
-	r.POST("/api/chat", s.ChatHandler)
+	r.POST("/api/generate", s.withInferenceRequestLogging("/api/generate", s.GenerateHandler)...)
+	r.POST("/api/chat", s.withInferenceRequestLogging("/api/chat", s.ChatHandler)...)
 	r.POST("/api/embed", s.EmbedHandler)
 	r.POST("/api/embeddings", s.EmbeddingsHandler)

 	// Inference (OpenAI compatibility)
 	// TODO(cloud-stage-a): apply Modelfile overlay deltas for local models with cloud
 	// parents on v1 request families while preserving this explicit :cloud passthrough.
-	r.POST("/v1/chat/completions", cloudPassthroughMiddleware(cloudErrRemoteInferenceUnavailable), middleware.ChatMiddleware(), s.ChatHandler)
-	r.POST("/v1/completions", cloudPassthroughMiddleware(cloudErrRemoteInferenceUnavailable), middleware.CompletionsMiddleware(), s.GenerateHandler)
+	r.POST("/v1/chat/completions", s.withInferenceRequestLogging("/v1/chat/completions", cloudPassthroughMiddleware(cloudErrRemoteInferenceUnavailable), middleware.ChatMiddleware(), s.ChatHandler)...)
+	r.POST("/v1/completions", s.withInferenceRequestLogging("/v1/completions", cloudPassthroughMiddleware(cloudErrRemoteInferenceUnavailable), middleware.CompletionsMiddleware(), s.GenerateHandler)...)
 	r.POST("/v1/embeddings", cloudPassthroughMiddleware(cloudErrRemoteInferenceUnavailable), middleware.EmbeddingsMiddleware(), s.EmbedHandler)
 	r.GET("/v1/models", middleware.ListMiddleware(), s.ListHandler)
 	r.GET("/v1/models/:model", cloudModelPathPassthroughMiddleware(cloudErrRemoteModelDetailsUnavailable), middleware.RetrieveMiddleware(), s.ShowHandler)
-	r.POST("/v1/responses", cloudPassthroughMiddleware(cloudErrRemoteInferenceUnavailable), middleware.ResponsesMiddleware(), s.ChatHandler)
+	r.POST("/v1/responses", s.withInferenceRequestLogging("/v1/responses", cloudPassthroughMiddleware(cloudErrRemoteInferenceUnavailable), middleware.ResponsesMiddleware(), s.ChatHandler)...)
 	// OpenAI-compatible image generation endpoints
 	r.POST("/v1/images/generations", cloudPassthroughMiddleware(cloudErrRemoteInferenceUnavailable), middleware.ImageGenerationsMiddleware(), s.GenerateHandler)
 	r.POST("/v1/images/edits", cloudPassthroughMiddleware(cloudErrRemoteInferenceUnavailable), middleware.ImageEditsMiddleware(), s.GenerateHandler)

 	// Inference (Anthropic compatibility)
-	r.POST("/v1/messages", cloudPassthroughMiddleware(cloudErrRemoteInferenceUnavailable), middleware.AnthropicMessagesMiddleware(), s.ChatHandler)
+	r.POST("/v1/messages", s.withInferenceRequestLogging("/v1/messages", cloudPassthroughMiddleware(cloudErrRemoteInferenceUnavailable), middleware.AnthropicMessagesMiddleware(), s.ChatHandler)...)

 	if rc != nil {
 		// wrap old with new
@@ -1757,6 +1758,9 @@ func Serve(ln net.Listener) error {
 	}

 	s := &Server{addr: ln.Addr()}
+	if err := s.initRequestLogging(); err != nil {
+		return err
+	}

 	var rc *ollama.Registry
 	if useClient2 {
--- a/server/routes_request_log_test.go
+++ b/server/routes_request_log_test.go
@@ -0,0 +1,128 @@
+package server
+
+import (
+	"io"
+	"net/http"
+	"net/http/httptest"
+	"os"
+	"path/filepath"
+	"strings"
+	"testing"
+
+	"github.com/gin-gonic/gin"
+)
+
+func TestInferenceRequestLoggerMiddlewareWritesReplayArtifacts(t *testing.T) {
+	gin.SetMode(gin.TestMode)
+
+	logDir := t.TempDir()
+	requestLogger := &inferenceRequestLogger{dir: logDir}
+
+	const route = "/v1/chat/completions"
+	const requestBody = `{"model":"test-model","messages":[{"role":"user","content":"hello"}]}`
+
+	var bodySeenByHandler string
+
+	r := gin.New()
+	r.POST(route, requestLogger.middleware(route), func(c *gin.Context) {
+		body, err := io.ReadAll(c.Request.Body)
+		if err != nil {
+			t.Fatalf("failed to read body in handler: %v", err)
+		}
+
+		bodySeenByHandler = string(body)
+		c.Status(http.StatusOK)
+	})
+
+	req := httptest.NewRequest(http.MethodPost, route, strings.NewReader(requestBody))
+	req.Host = "127.0.0.1:11434"
+	req.Header.Set("Content-Type", "application/json")
+	w := httptest.NewRecorder()
+	r.ServeHTTP(w, req)
+
+	if w.Code != http.StatusOK {
+		t.Fatalf("expected status 200, got %d", w.Code)
+	}
+
+	if bodySeenByHandler != requestBody {
+		t.Fatalf("handler body mismatch:\nexpected: %s\ngot: %s", requestBody, bodySeenByHandler)
+	}
+
+	bodyFiles, err := filepath.Glob(filepath.Join(logDir, "*_v1_chat_completions_body.json"))
+	if err != nil {
+		t.Fatalf("failed to glob body logs: %v", err)
+	}
+	if len(bodyFiles) != 1 {
+		t.Fatalf("expected 1 body log, got %d (%v)", len(bodyFiles), bodyFiles)
+	}
+
+	curlFiles, err := filepath.Glob(filepath.Join(logDir, "*_v1_chat_completions_request.sh"))
+	if err != nil {
+		t.Fatalf("failed to glob curl logs: %v", err)
+	}
+	if len(curlFiles) != 1 {
+		t.Fatalf("expected 1 curl log, got %d (%v)", len(curlFiles), curlFiles)
+	}
+
+	bodyData, err := os.ReadFile(bodyFiles[0])
+	if err != nil {
+		t.Fatalf("failed to read body log: %v", err)
+	}
+	if string(bodyData) != requestBody {
+		t.Fatalf("body log mismatch:\nexpected: %s\ngot: %s", requestBody, string(bodyData))
+	}
+
+	curlData, err := os.ReadFile(curlFiles[0])
+	if err != nil {
+		t.Fatalf("failed to read curl log: %v", err)
+	}
+
+	curlString := string(curlData)
+	if !strings.Contains(curlString, "http://127.0.0.1:11434"+route) {
+		t.Fatalf("curl log does not contain expected route URL: %s", curlString)
+	}
+
+	bodyFileName := filepath.Base(bodyFiles[0])
+	if !strings.Contains(curlString, "@\"${SCRIPT_DIR}/"+bodyFileName+"\"") {
+		t.Fatalf("curl log does not reference sibling body file: %s", curlString)
+	}
+}
+
+func TestNewInferenceRequestLoggerCreatesDirectory(t *testing.T) {
+	requestLogger, err := newInferenceRequestLogger()
+	if err != nil {
+		t.Fatalf("expected no error creating request logger: %v", err)
+	}
+	t.Cleanup(func() {
+		_ = os.RemoveAll(requestLogger.dir)
+	})
+
+	if requestLogger == nil || requestLogger.dir == "" {
+		t.Fatalf("expected request logger directory to be set")
+	}
+
+	info, err := os.Stat(requestLogger.dir)
+	if err != nil {
+		t.Fatalf("expected directory to exist: %v", err)
+	}
+	if !info.IsDir() {
+		t.Fatalf("expected %q to be a directory", requestLogger.dir)
+	}
+}
+
+func TestSanitizeRouteForFilename(t *testing.T) {
+	tests := []struct {
+		route string
+		want  string
+	}{
+		{route: "/api/generate", want: "api_generate"},
+		{route: "/v1/chat/completions", want: "v1_chat_completions"},
+		{route: "/v1/messages", want: "v1_messages"},
+	}
+
+	for _, tt := range tests {
+		if got := sanitizeRouteForFilename(tt.route); got != tt.want {
+			t.Fatalf("sanitizeRouteForFilename(%q) = %q, want %q", tt.route, got, tt.want)
+		}
+	}
+}
--- a/x/imagegen/mlx/CMakeLists.txt
+++ b/x/imagegen/mlx/CMakeLists.txt
@@ -1,11 +1,11 @@
 include(FetchContent)

-# Read MLX version from top-level file (shared with Dockerfile)
-file(READ "${CMAKE_SOURCE_DIR}/MLX_VERSION" MLX_C_GIT_TAG)
+# Read MLX-C version from top-level file (shared with Dockerfile)
+file(READ "${CMAKE_SOURCE_DIR}/MLX_C_VERSION" MLX_C_GIT_TAG)
 string(STRIP "${MLX_C_GIT_TAG}" MLX_C_GIT_TAG)

-# Read MLX core version from top-level file
-file(READ "${CMAKE_SOURCE_DIR}/MLX_CORE_VERSION" MLX_GIT_TAG)
+# Read MLX version from top-level file
+file(READ "${CMAKE_SOURCE_DIR}/MLX_VERSION" MLX_GIT_TAG)
 string(STRIP "${MLX_GIT_TAG}" MLX_GIT_TAG)

 set(MLX_C_BUILD_EXAMPLES OFF)
@@ -98,6 +98,15 @@ FetchContent_MakeAvailable(mlx-c)
 file(GLOB _mlx_c_hdrs "${mlx-c_SOURCE_DIR}/mlx/c/*.h")
 file(COPY ${_mlx_c_hdrs} DESTINATION "${CMAKE_SOURCE_DIR}/x/mlxrunner/mlx/include/mlx/c/")

+# Regenerate Go/C shim wrappers from the (possibly updated) headers.
+find_program(GO_EXECUTABLE go REQUIRED)
+message(STATUS "Regenerating MLX Go wrappers")
+execute_process(
+    COMMAND ${GO_EXECUTABLE} generate ./x/...
+    WORKING_DIRECTORY ${CMAKE_SOURCE_DIR}
+    COMMAND_ERROR_IS_FATAL ANY
+)
+
 # For local dev builds, override MLX_VERSION with git describe output
 if(TARGET mlx_version AND DEFINED FETCHCONTENT_SOURCE_DIR_MLX)
    execute_process(
--- a/x/imagegen/mlx/mlx.c
+++ b/x/imagegen/mlx/mlx.c
@@ -165,8 +165,8 @@ int (*mlx_distributed_sum_scatter_ptr)(mlx_array* res, const mlx_array x, const
 int (*mlx_distributed_group_rank_ptr)(mlx_distributed_group group) = NULL;
 int (*mlx_distributed_group_size_ptr)(mlx_distributed_group group) = NULL;
 mlx_distributed_group (*mlx_distributed_group_split_ptr)(mlx_distributed_group group, int color, int key) = NULL;
-bool (*mlx_distributed_is_available_ptr)(void) = NULL;
-mlx_distributed_group (*mlx_distributed_init_ptr)(bool strict) = NULL;
+bool (*mlx_distributed_is_available_ptr)(const char* bk) = NULL;
+mlx_distributed_group (*mlx_distributed_init_ptr)(bool strict, const char* bk) = NULL;
 void (*mlx_set_error_handler_ptr)(mlx_error_handler_func handler, void* data, void (*dtor)(void*)) = NULL;
 void (*_mlx_error_ptr)(const char* file, const int line, const char* fmt, ...) = NULL;
 int (*mlx_export_function_ptr)(const char* file, const mlx_closure fun, const mlx_vector_array args, bool shapeless) = NULL;
@@ -319,10 +319,12 @@ int (*mlx_astype_ptr)(mlx_array* res, const mlx_array a, mlx_dtype dtype, const
 int (*mlx_atleast_1d_ptr)(mlx_array* res, const mlx_array a, const mlx_stream s) = NULL;
 int (*mlx_atleast_2d_ptr)(mlx_array* res, const mlx_array a, const mlx_stream s) = NULL;
 int (*mlx_atleast_3d_ptr)(mlx_array* res, const mlx_array a, const mlx_stream s) = NULL;
+int (*mlx_bartlett_ptr)(mlx_array* res, int M, const mlx_stream s) = NULL;
 int (*mlx_bitwise_and_ptr)(mlx_array* res, const mlx_array a, const mlx_array b, const mlx_stream s) = NULL;
 int (*mlx_bitwise_invert_ptr)(mlx_array* res, const mlx_array a, const mlx_stream s) = NULL;
 int (*mlx_bitwise_or_ptr)(mlx_array* res, const mlx_array a, const mlx_array b, const mlx_stream s) = NULL;
 int (*mlx_bitwise_xor_ptr)(mlx_array* res, const mlx_array a, const mlx_array b, const mlx_stream s) = NULL;
+int (*mlx_blackman_ptr)(mlx_array* res, int M, const mlx_stream s) = NULL;
 int (*mlx_block_masked_mm_ptr)(mlx_array* res, const mlx_array a, const mlx_array b, int block_size, const mlx_array mask_out , const mlx_array mask_lhs , const mlx_array mask_rhs , const mlx_stream s) = NULL;
 int (*mlx_broadcast_arrays_ptr)(mlx_vector_array* res, const mlx_vector_array inputs, const mlx_stream s) = NULL;
 int (*mlx_broadcast_to_ptr)(mlx_array* res, const mlx_array a, const int* shape, size_t shape_num, const mlx_stream s) = NULL;
@@ -348,7 +350,7 @@ int (*mlx_cumprod_ptr)(mlx_array* res, const mlx_array a, int axis, bool reverse
 int (*mlx_cumsum_ptr)(mlx_array* res, const mlx_array a, int axis, bool reverse, bool inclusive, const mlx_stream s) = NULL;
 int (*mlx_degrees_ptr)(mlx_array* res, const mlx_array a, const mlx_stream s) = NULL;
 int (*mlx_depends_ptr)(mlx_vector_array* res, const mlx_vector_array inputs, const mlx_vector_array dependencies) = NULL;
-int (*mlx_dequantize_ptr)(mlx_array* res, const mlx_array w, const mlx_array scales, const mlx_array biases , mlx_optional_int group_size, mlx_optional_int bits, const char* mode, mlx_optional_dtype dtype, const mlx_stream s) = NULL;
+int (*mlx_dequantize_ptr)(mlx_array* res, const mlx_array w, const mlx_array scales, const mlx_array biases , mlx_optional_int group_size, mlx_optional_int bits, const char* mode, const mlx_array global_scale , mlx_optional_dtype dtype, const mlx_stream s) = NULL;
 int (*mlx_diag_ptr)(mlx_array* res, const mlx_array a, int k, const mlx_stream s) = NULL;
 int (*mlx_diagonal_ptr)(mlx_array* res, const mlx_array a, int offset, int axis1, int axis2, const mlx_stream s) = NULL;
 int (*mlx_divide_ptr)(mlx_array* res, const mlx_array a, const mlx_array b, const mlx_stream s) = NULL;
@@ -375,6 +377,8 @@ int (*mlx_gather_qmm_ptr)(mlx_array* res, const mlx_array x, const mlx_array w,
 int (*mlx_greater_ptr)(mlx_array* res, const mlx_array a, const mlx_array b, const mlx_stream s) = NULL;
 int (*mlx_greater_equal_ptr)(mlx_array* res, const mlx_array a, const mlx_array b, const mlx_stream s) = NULL;
 int (*mlx_hadamard_transform_ptr)(mlx_array* res, const mlx_array a, mlx_optional_float scale, const mlx_stream s) = NULL;
+int (*mlx_hamming_ptr)(mlx_array* res, int M, const mlx_stream s) = NULL;
+int (*mlx_hanning_ptr)(mlx_array* res, int M, const mlx_stream s) = NULL;
 int (*mlx_identity_ptr)(mlx_array* res, int n, mlx_dtype dtype, const mlx_stream s) = NULL;
 int (*mlx_imag_ptr)(mlx_array* res, const mlx_array a, const mlx_stream s) = NULL;
 int (*mlx_inner_ptr)(mlx_array* res, const mlx_array a, const mlx_array b, const mlx_stream s) = NULL;
@@ -434,8 +438,8 @@ int (*mlx_prod_axes_ptr)(mlx_array* res, const mlx_array a, const int* axes, siz
 int (*mlx_prod_axis_ptr)(mlx_array* res, const mlx_array a, int axis, bool keepdims, const mlx_stream s) = NULL;
 int (*mlx_prod_ptr)(mlx_array* res, const mlx_array a, bool keepdims, const mlx_stream s) = NULL;
 int (*mlx_put_along_axis_ptr)(mlx_array* res, const mlx_array a, const mlx_array indices, const mlx_array values, int axis, const mlx_stream s) = NULL;
-int (*mlx_qqmm_ptr)(mlx_array* res, const mlx_array x, const mlx_array w, const mlx_array w_scales , mlx_optional_int group_size, mlx_optional_int bits, const char* mode, const mlx_stream s) = NULL;
-int (*mlx_quantize_ptr)(mlx_vector_array* res, const mlx_array w, mlx_optional_int group_size, mlx_optional_int bits, const char* mode, const mlx_stream s) = NULL;
+int (*mlx_qqmm_ptr)(mlx_array* res, const mlx_array x, const mlx_array w, const mlx_array w_scales , mlx_optional_int group_size, mlx_optional_int bits, const char* mode, const mlx_array global_scale_x , const mlx_array global_scale_w , const mlx_stream s) = NULL;
+int (*mlx_quantize_ptr)(mlx_vector_array* res, const mlx_array w, mlx_optional_int group_size, mlx_optional_int bits, const char* mode, const mlx_array global_scale , const mlx_stream s) = NULL;
 int (*mlx_quantized_matmul_ptr)(mlx_array* res, const mlx_array x, const mlx_array w, const mlx_array scales, const mlx_array biases , bool transpose, mlx_optional_int group_size, mlx_optional_int bits, const char* mode, const mlx_stream s) = NULL;
 int (*mlx_radians_ptr)(mlx_array* res, const mlx_array a, const mlx_stream s) = NULL;
 int (*mlx_real_ptr)(mlx_array* res, const mlx_array a, const mlx_stream s) = NULL;
@@ -2101,6 +2105,11 @@ int mlx_load_functions(void* handle) {
        fprintf(stderr, "MLX: Failed to load symbol: mlx_atleast_3d\n");
        return -1;
    }
+    mlx_bartlett_ptr = GET_SYM(handle, "mlx_bartlett");
+    if (mlx_bartlett_ptr == NULL) {
+        fprintf(stderr, "MLX: Failed to load symbol: mlx_bartlett\n");
+        return -1;
+    }
    mlx_bitwise_and_ptr = GET_SYM(handle, "mlx_bitwise_and");
    if (mlx_bitwise_and_ptr == NULL) {
        fprintf(stderr, "MLX: Failed to load symbol: mlx_bitwise_and\n");
@@ -2121,6 +2130,11 @@ int mlx_load_functions(void* handle) {
        fprintf(stderr, "MLX: Failed to load symbol: mlx_bitwise_xor\n");
        return -1;
    }
+    mlx_blackman_ptr = GET_SYM(handle, "mlx_blackman");
+    if (mlx_blackman_ptr == NULL) {
+        fprintf(stderr, "MLX: Failed to load symbol: mlx_blackman\n");
+        return -1;
+    }
    mlx_block_masked_mm_ptr = GET_SYM(handle, "mlx_block_masked_mm");
    if (mlx_block_masked_mm_ptr == NULL) {
        fprintf(stderr, "MLX: Failed to load symbol: mlx_block_masked_mm\n");
@@ -2381,6 +2395,16 @@ int mlx_load_functions(void* handle) {
        fprintf(stderr, "MLX: Failed to load symbol: mlx_hadamard_transform\n");
        return -1;
    }
+    mlx_hamming_ptr = GET_SYM(handle, "mlx_hamming");
+    if (mlx_hamming_ptr == NULL) {
+        fprintf(stderr, "MLX: Failed to load symbol: mlx_hamming\n");
+        return -1;
+    }
+    mlx_hanning_ptr = GET_SYM(handle, "mlx_hanning");
+    if (mlx_hanning_ptr == NULL) {
+        fprintf(stderr, "MLX: Failed to load symbol: mlx_hanning\n");
+        return -1;
+    }
    mlx_identity_ptr = GET_SYM(handle, "mlx_identity");
    if (mlx_identity_ptr == NULL) {
        fprintf(stderr, "MLX: Failed to load symbol: mlx_identity\n");
@@ -4132,12 +4156,12 @@ mlx_distributed_group mlx_distributed_group_split(mlx_distributed_group group, i
    return mlx_distributed_group_split_ptr(group, color, key);
 }

-bool mlx_distributed_is_available(void) {
-    return mlx_distributed_is_available_ptr();
+bool mlx_distributed_is_available(const char* bk) {
+    return mlx_distributed_is_available_ptr(bk);
 }

-mlx_distributed_group mlx_distributed_init(bool strict) {
-    return mlx_distributed_init_ptr(strict);
+mlx_distributed_group mlx_distributed_init(bool strict, const char* bk) {
+    return mlx_distributed_init_ptr(strict, bk);
 }

 void mlx_set_error_handler(mlx_error_handler_func handler, void* data, void (*dtor)(void*)) {
@@ -4748,6 +4772,10 @@ int mlx_atleast_3d(mlx_array* res, const mlx_array a, const mlx_stream s) {
    return mlx_atleast_3d_ptr(res, a, s);
 }

+int mlx_bartlett(mlx_array* res, int M, const mlx_stream s) {
+    return mlx_bartlett_ptr(res, M, s);
+}
+
 int mlx_bitwise_and(mlx_array* res, const mlx_array a, const mlx_array b, const mlx_stream s) {
    return mlx_bitwise_and_ptr(res, a, b, s);
 }
@@ -4764,6 +4792,10 @@ int mlx_bitwise_xor(mlx_array* res, const mlx_array a, const mlx_array b, const
    return mlx_bitwise_xor_ptr(res, a, b, s);
 }

+int mlx_blackman(mlx_array* res, int M, const mlx_stream s) {
+    return mlx_blackman_ptr(res, M, s);
+}
+
 int mlx_block_masked_mm(mlx_array* res, const mlx_array a, const mlx_array b, int block_size, const mlx_array mask_out , const mlx_array mask_lhs , const mlx_array mask_rhs , const mlx_stream s) {
    return mlx_block_masked_mm_ptr(res, a, b, block_size, mask_out, mask_lhs, mask_rhs, s);
 }
@@ -4864,8 +4896,8 @@ int mlx_depends(mlx_vector_array* res, const mlx_vector_array inputs, const mlx_
    return mlx_depends_ptr(res, inputs, dependencies);
 }

-int mlx_dequantize(mlx_array* res, const mlx_array w, const mlx_array scales, const mlx_array biases , mlx_optional_int group_size, mlx_optional_int bits, const char* mode, mlx_optional_dtype dtype, const mlx_stream s) {
-    return mlx_dequantize_ptr(res, w, scales, biases, group_size, bits, mode, dtype, s);
+int mlx_dequantize(mlx_array* res, const mlx_array w, const mlx_array scales, const mlx_array biases , mlx_optional_int group_size, mlx_optional_int bits, const char* mode, const mlx_array global_scale , mlx_optional_dtype dtype, const mlx_stream s) {
+    return mlx_dequantize_ptr(res, w, scales, biases, group_size, bits, mode, global_scale, dtype, s);
 }

 int mlx_diag(mlx_array* res, const mlx_array a, int k, const mlx_stream s) {
@@ -4972,6 +5004,14 @@ int mlx_hadamard_transform(mlx_array* res, const mlx_array a, mlx_optional_float
    return mlx_hadamard_transform_ptr(res, a, scale, s);
 }

+int mlx_hamming(mlx_array* res, int M, const mlx_stream s) {
+    return mlx_hamming_ptr(res, M, s);
+}
+
+int mlx_hanning(mlx_array* res, int M, const mlx_stream s) {
+    return mlx_hanning_ptr(res, M, s);
+}
+
 int mlx_identity(mlx_array* res, int n, mlx_dtype dtype, const mlx_stream s) {
    return mlx_identity_ptr(res, n, dtype, s);
 }
@@ -5208,12 +5248,12 @@ int mlx_put_along_axis(mlx_array* res, const mlx_array a, const mlx_array indice
    return mlx_put_along_axis_ptr(res, a, indices, values, axis, s);
 }

-int mlx_qqmm(mlx_array* res, const mlx_array x, const mlx_array w, const mlx_array w_scales , mlx_optional_int group_size, mlx_optional_int bits, const char* mode, const mlx_stream s) {
-    return mlx_qqmm_ptr(res, x, w, w_scales, group_size, bits, mode, s);
+int mlx_qqmm(mlx_array* res, const mlx_array x, const mlx_array w, const mlx_array w_scales , mlx_optional_int group_size, mlx_optional_int bits, const char* mode, const mlx_array global_scale_x , const mlx_array global_scale_w , const mlx_stream s) {
+    return mlx_qqmm_ptr(res, x, w, w_scales, group_size, bits, mode, global_scale_x, global_scale_w, s);
 }

-int mlx_quantize(mlx_vector_array* res, const mlx_array w, mlx_optional_int group_size, mlx_optional_int bits, const char* mode, const mlx_stream s) {
-    return mlx_quantize_ptr(res, w, group_size, bits, mode, s);
+int mlx_quantize(mlx_vector_array* res, const mlx_array w, mlx_optional_int group_size, mlx_optional_int bits, const char* mode, const mlx_array global_scale , const mlx_stream s) {
+    return mlx_quantize_ptr(res, w, group_size, bits, mode, global_scale, s);
 }

 int mlx_quantized_matmul(mlx_array* res, const mlx_array x, const mlx_array w, const mlx_array scales, const mlx_array biases , bool transpose, mlx_optional_int group_size, mlx_optional_int bits, const char* mode, const mlx_stream s) {
--- a/x/imagegen/mlx/mlx.go
+++ b/x/imagegen/mlx/mlx.go
@@ -2125,7 +2125,8 @@ func Quantize(w *Array, groupSize, bits int, mode string) (weights, scales, bias
 	optGroupSize := C.mlx_optional_int{value: C.int(groupSize), has_value: true}
 	optBits := C.mlx_optional_int{value: C.int(bits), has_value: true}
 	res := C.mlx_vector_array_new()
-	C.mlx_quantize(&res, w.c, optGroupSize, optBits, cMode, C.default_stream())
+	var globalScale C.mlx_array
+	C.mlx_quantize(&res, w.c, optGroupSize, optBits, cMode, globalScale, C.default_stream())

 	// Result is a vector of arrays: [weights, scales, biases?]
 	// mxfp8 mode returns only 2 elements (no biases)
@@ -2161,7 +2162,8 @@ func Dequantize(w, scales, biases *Array, groupSize, bits int, mode string) *Arr
 	}

 	res := C.mlx_array_new()
-	C.mlx_dequantize(&res, w.c, scales.c, b, optGroupSize, optBits, cMode, optDtype, C.default_stream())
+	var globalScale C.mlx_array
+	C.mlx_dequantize(&res, w.c, scales.c, b, optGroupSize, optBits, cMode, globalScale, optDtype, C.default_stream())
 	return newArray(res)
 }

--- a/x/imagegen/mlx/mlx.h
+++ b/x/imagegen/mlx/mlx.h
@@ -309,10 +309,12 @@
 #undef mlx_atleast_1d
 #undef mlx_atleast_2d
 #undef mlx_atleast_3d
+#undef mlx_bartlett
 #undef mlx_bitwise_and
 #undef mlx_bitwise_invert
 #undef mlx_bitwise_or
 #undef mlx_bitwise_xor
+#undef mlx_blackman
 #undef mlx_block_masked_mm
 #undef mlx_broadcast_arrays
 #undef mlx_broadcast_to
@@ -365,6 +367,8 @@
 #undef mlx_greater
 #undef mlx_greater_equal
 #undef mlx_hadamard_transform
+#undef mlx_hamming
+#undef mlx_hanning
 #undef mlx_identity
 #undef mlx_imag
 #undef mlx_inner
@@ -751,8 +755,8 @@ extern int (*mlx_distributed_sum_scatter_ptr)(mlx_array* res, const mlx_array x,
 extern int (*mlx_distributed_group_rank_ptr)(mlx_distributed_group group);
 extern int (*mlx_distributed_group_size_ptr)(mlx_distributed_group group);
 extern mlx_distributed_group (*mlx_distributed_group_split_ptr)(mlx_distributed_group group, int color, int key);
-extern bool (*mlx_distributed_is_available_ptr)(void);
-extern mlx_distributed_group (*mlx_distributed_init_ptr)(bool strict);
+extern bool (*mlx_distributed_is_available_ptr)(const char* bk);
+extern mlx_distributed_group (*mlx_distributed_init_ptr)(bool strict, const char* bk);
 extern void (*mlx_set_error_handler_ptr)(mlx_error_handler_func handler, void* data, void (*dtor)(void*));
 extern void (*_mlx_error_ptr)(const char* file, const int line, const char* fmt, ...);
 extern int (*mlx_export_function_ptr)(const char* file, const mlx_closure fun, const mlx_vector_array args, bool shapeless);
@@ -905,10 +909,12 @@ extern int (*mlx_astype_ptr)(mlx_array* res, const mlx_array a, mlx_dtype dtype,
 extern int (*mlx_atleast_1d_ptr)(mlx_array* res, const mlx_array a, const mlx_stream s);
 extern int (*mlx_atleast_2d_ptr)(mlx_array* res, const mlx_array a, const mlx_stream s);
 extern int (*mlx_atleast_3d_ptr)(mlx_array* res, const mlx_array a, const mlx_stream s);
+extern int (*mlx_bartlett_ptr)(mlx_array* res, int M, const mlx_stream s);
 extern int (*mlx_bitwise_and_ptr)(mlx_array* res, const mlx_array a, const mlx_array b, const mlx_stream s);
 extern int (*mlx_bitwise_invert_ptr)(mlx_array* res, const mlx_array a, const mlx_stream s);
 extern int (*mlx_bitwise_or_ptr)(mlx_array* res, const mlx_array a, const mlx_array b, const mlx_stream s);
 extern int (*mlx_bitwise_xor_ptr)(mlx_array* res, const mlx_array a, const mlx_array b, const mlx_stream s);
+extern int (*mlx_blackman_ptr)(mlx_array* res, int M, const mlx_stream s);
 extern int (*mlx_block_masked_mm_ptr)(mlx_array* res, const mlx_array a, const mlx_array b, int block_size, const mlx_array mask_out , const mlx_array mask_lhs , const mlx_array mask_rhs , const mlx_stream s);
 extern int (*mlx_broadcast_arrays_ptr)(mlx_vector_array* res, const mlx_vector_array inputs, const mlx_stream s);
 extern int (*mlx_broadcast_to_ptr)(mlx_array* res, const mlx_array a, const int* shape, size_t shape_num, const mlx_stream s);
@@ -934,7 +940,7 @@ extern int (*mlx_cumprod_ptr)(mlx_array* res, const mlx_array a, int axis, bool
 extern int (*mlx_cumsum_ptr)(mlx_array* res, const mlx_array a, int axis, bool reverse, bool inclusive, const mlx_stream s);
 extern int (*mlx_degrees_ptr)(mlx_array* res, const mlx_array a, const mlx_stream s);
 extern int (*mlx_depends_ptr)(mlx_vector_array* res, const mlx_vector_array inputs, const mlx_vector_array dependencies);
-extern int (*mlx_dequantize_ptr)(mlx_array* res, const mlx_array w, const mlx_array scales, const mlx_array biases , mlx_optional_int group_size, mlx_optional_int bits, const char* mode, mlx_optional_dtype dtype, const mlx_stream s);
+extern int (*mlx_dequantize_ptr)(mlx_array* res, const mlx_array w, const mlx_array scales, const mlx_array biases , mlx_optional_int group_size, mlx_optional_int bits, const char* mode, const mlx_array global_scale , mlx_optional_dtype dtype, const mlx_stream s);
 extern int (*mlx_diag_ptr)(mlx_array* res, const mlx_array a, int k, const mlx_stream s);
 extern int (*mlx_diagonal_ptr)(mlx_array* res, const mlx_array a, int offset, int axis1, int axis2, const mlx_stream s);
 extern int (*mlx_divide_ptr)(mlx_array* res, const mlx_array a, const mlx_array b, const mlx_stream s);
@@ -961,6 +967,8 @@ extern int (*mlx_gather_qmm_ptr)(mlx_array* res, const mlx_array x, const mlx_ar
 extern int (*mlx_greater_ptr)(mlx_array* res, const mlx_array a, const mlx_array b, const mlx_stream s);
 extern int (*mlx_greater_equal_ptr)(mlx_array* res, const mlx_array a, const mlx_array b, const mlx_stream s);
 extern int (*mlx_hadamard_transform_ptr)(mlx_array* res, const mlx_array a, mlx_optional_float scale, const mlx_stream s);
+extern int (*mlx_hamming_ptr)(mlx_array* res, int M, const mlx_stream s);
+extern int (*mlx_hanning_ptr)(mlx_array* res, int M, const mlx_stream s);
 extern int (*mlx_identity_ptr)(mlx_array* res, int n, mlx_dtype dtype, const mlx_stream s);
 extern int (*mlx_imag_ptr)(mlx_array* res, const mlx_array a, const mlx_stream s);
 extern int (*mlx_inner_ptr)(mlx_array* res, const mlx_array a, const mlx_array b, const mlx_stream s);
@@ -1020,8 +1028,8 @@ extern int (*mlx_prod_axes_ptr)(mlx_array* res, const mlx_array a, const int* ax
 extern int (*mlx_prod_axis_ptr)(mlx_array* res, const mlx_array a, int axis, bool keepdims, const mlx_stream s);
 extern int (*mlx_prod_ptr)(mlx_array* res, const mlx_array a, bool keepdims, const mlx_stream s);
 extern int (*mlx_put_along_axis_ptr)(mlx_array* res, const mlx_array a, const mlx_array indices, const mlx_array values, int axis, const mlx_stream s);
-extern int (*mlx_qqmm_ptr)(mlx_array* res, const mlx_array x, const mlx_array w, const mlx_array w_scales , mlx_optional_int group_size, mlx_optional_int bits, const char* mode, const mlx_stream s);
-extern int (*mlx_quantize_ptr)(mlx_vector_array* res, const mlx_array w, mlx_optional_int group_size, mlx_optional_int bits, const char* mode, const mlx_stream s);
+extern int (*mlx_qqmm_ptr)(mlx_array* res, const mlx_array x, const mlx_array w, const mlx_array w_scales , mlx_optional_int group_size, mlx_optional_int bits, const char* mode, const mlx_array global_scale_x , const mlx_array global_scale_w , const mlx_stream s);
+extern int (*mlx_quantize_ptr)(mlx_vector_array* res, const mlx_array w, mlx_optional_int group_size, mlx_optional_int bits, const char* mode, const mlx_array global_scale , const mlx_stream s);
 extern int (*mlx_quantized_matmul_ptr)(mlx_array* res, const mlx_array x, const mlx_array w, const mlx_array scales, const mlx_array biases , bool transpose, mlx_optional_int group_size, mlx_optional_int bits, const char* mode, const mlx_stream s);
 extern int (*mlx_radians_ptr)(mlx_array* res, const mlx_array a, const mlx_stream s);
 extern int (*mlx_real_ptr)(mlx_array* res, const mlx_array a, const mlx_stream s);
@@ -1492,9 +1500,9 @@ int mlx_distributed_group_size(mlx_distributed_group group);

 mlx_distributed_group mlx_distributed_group_split(mlx_distributed_group group, int color, int key);

-bool mlx_distributed_is_available(void);
+bool mlx_distributed_is_available(const char* bk);

-mlx_distributed_group mlx_distributed_init(bool strict);
+mlx_distributed_group mlx_distributed_init(bool strict, const char* bk);

 void mlx_set_error_handler(mlx_error_handler_func handler, void* data, void (*dtor)(void*));

@@ -1800,6 +1808,8 @@ int mlx_atleast_2d(mlx_array* res, const mlx_array a, const mlx_stream s);

 int mlx_atleast_3d(mlx_array* res, const mlx_array a, const mlx_stream s);

+int mlx_bartlett(mlx_array* res, int M, const mlx_stream s);
+
 int mlx_bitwise_and(mlx_array* res, const mlx_array a, const mlx_array b, const mlx_stream s);

 int mlx_bitwise_invert(mlx_array* res, const mlx_array a, const mlx_stream s);
@@ -1808,6 +1818,8 @@ int mlx_bitwise_or(mlx_array* res, const mlx_array a, const mlx_array b, const m

 int mlx_bitwise_xor(mlx_array* res, const mlx_array a, const mlx_array b, const mlx_stream s);

+int mlx_blackman(mlx_array* res, int M, const mlx_stream s);
+
 int mlx_block_masked_mm(mlx_array* res, const mlx_array a, const mlx_array b, int block_size, const mlx_array mask_out , const mlx_array mask_lhs , const mlx_array mask_rhs , const mlx_stream s);

 int mlx_broadcast_arrays(mlx_vector_array* res, const mlx_vector_array inputs, const mlx_stream s);
@@ -1858,7 +1870,7 @@ int mlx_degrees(mlx_array* res, const mlx_array a, const mlx_stream s);

 int mlx_depends(mlx_vector_array* res, const mlx_vector_array inputs, const mlx_vector_array dependencies);

-int mlx_dequantize(mlx_array* res, const mlx_array w, const mlx_array scales, const mlx_array biases , mlx_optional_int group_size, mlx_optional_int bits, const char* mode, mlx_optional_dtype dtype, const mlx_stream s);
+int mlx_dequantize(mlx_array* res, const mlx_array w, const mlx_array scales, const mlx_array biases , mlx_optional_int group_size, mlx_optional_int bits, const char* mode, const mlx_array global_scale , mlx_optional_dtype dtype, const mlx_stream s);

 int mlx_diag(mlx_array* res, const mlx_array a, int k, const mlx_stream s);

@@ -1912,6 +1924,10 @@ int mlx_greater_equal(mlx_array* res, const mlx_array a, const mlx_array b, cons

 int mlx_hadamard_transform(mlx_array* res, const mlx_array a, mlx_optional_float scale, const mlx_stream s);

+int mlx_hamming(mlx_array* res, int M, const mlx_stream s);
+
+int mlx_hanning(mlx_array* res, int M, const mlx_stream s);
+
 int mlx_identity(mlx_array* res, int n, mlx_dtype dtype, const mlx_stream s);

 int mlx_imag(mlx_array* res, const mlx_array a, const mlx_stream s);
@@ -2030,9 +2046,9 @@ int mlx_prod(mlx_array* res, const mlx_array a, bool keepdims, const mlx_stream

 int mlx_put_along_axis(mlx_array* res, const mlx_array a, const mlx_array indices, const mlx_array values, int axis, const mlx_stream s);

-int mlx_qqmm(mlx_array* res, const mlx_array x, const mlx_array w, const mlx_array w_scales , mlx_optional_int group_size, mlx_optional_int bits, const char* mode, const mlx_stream s);
+int mlx_qqmm(mlx_array* res, const mlx_array x, const mlx_array w, const mlx_array w_scales , mlx_optional_int group_size, mlx_optional_int bits, const char* mode, const mlx_array global_scale_x , const mlx_array global_scale_w , const mlx_stream s);

-int mlx_quantize(mlx_vector_array* res, const mlx_array w, mlx_optional_int group_size, mlx_optional_int bits, const char* mode, const mlx_stream s);
+int mlx_quantize(mlx_vector_array* res, const mlx_array w, mlx_optional_int group_size, mlx_optional_int bits, const char* mode, const mlx_array global_scale , const mlx_stream s);

 int mlx_quantized_matmul(mlx_array* res, const mlx_array x, const mlx_array w, const mlx_array scales, const mlx_array biases , bool transpose, mlx_optional_int group_size, mlx_optional_int bits, const char* mode, const mlx_stream s);

--- a/x/mlxrunner/cache.go
+++ b/x/mlxrunner/cache.go
@@ -93,21 +93,8 @@ func (c *kvCache) begin(m base.Model, inputs []int32) *cacheSession {
 		matchPath, matched = findBestMatch(c.root, inputs[:len(inputs)-1])
 	}

-	// Check for partial match within a node's edge — truncate path
-	// to the parent boundary. snapshot() will split the node and
-	// create the branch point during prefill when caches are ready.
-	partialMatch := false
-	if len(matchPath) > 1 {
-		lastNode := matchPath[len(matchPath)-1]
-		matchedInEdge := matched - lastNode.startOffset()
-		if matchedInEdge > 0 && matchedInEdge < len(lastNode.tokens) {
-			matchPath = matchPath[:len(matchPath)-1]
-			partialMatch = true
-		}
-	}
-
 	// Switch to the matched path, paging in/out as needed.
-	c.switchToPath(matchPath)
+	c.switchToPath(matchPath, matched)

 	// switchToPath aligns caches to a common offset
 	prefix := c.minCacheOffset()
@@ -116,7 +103,7 @@ func (c *kvCache) begin(m base.Model, inputs []int32) *cacheSession {
 	// Schedule a snapshot at the branch point during prefill so future
 	// requests diverging here can restore instead of re-evaluating.
 	var snapshotAt int
-	if partialMatch || (prefix == 0 && matched > 0) {
+	if prefix < matched {
 		snapshotAt = matched
 	}

@@ -142,7 +129,7 @@ func (c *kvCache) begin(m base.Model, inputs []int32) *cacheSession {

 // switchToPath transitions from the current active path to a new path,
 // paging out diverging segments and paging in the new path.
-func (c *kvCache) switchToPath(newPath []*trieNode) {
+func (c *kvCache) switchToPath(newPath []*trieNode, matched int) {
 	defer c.enforceEvictionPolicy()

 	// Find common ancestor index.
@@ -167,7 +154,10 @@ func (c *kvCache) switchToPath(newPath []*trieNode) {
 	// non-leaf nodes here would produce wrong results for non-rewindable
 	// caches (e.g. RecurrentCache) whose state reflects the leaf, not
 	// the intermediate boundary.
-	if leaf := len(c.activePath) - 1; leaf >= commonLen {
+	leaf := len(c.activePath) - 1
+	leafDiverges := leaf >= commonLen
+	leafNeedsRewind := matched < c.activePath[leaf].endOffset
+	if leafDiverges || leafNeedsRewind {
 		node := c.activePath[leaf]
 		if !node.hasAllSnapshots() {
 			fromOffset := node.startOffset()
@@ -184,14 +174,16 @@ func (c *kvCache) switchToPath(newPath []*trieNode) {
 		}
 	}

-	// Rewind each cache to the ancestor offset or free it. Freed
-	// caches (e.g. RecurrentCache that can't rewind) will be restored
-	// from snapshots during page-in.
+	// Rewind each cache to the target offset or free it. When matched
+	// falls within the ancestor's range (same-path case), we rewind
+	// directly to the match point. Otherwise we rewind to the ancestor
+	// and let page-in bring us forward to matched.
+	rewindTarget := min(ancestorOffset, matched)
 	for _, kv := range c.caches {
 		if kv == nil {
 			continue
 		}
-		if !kv.Restore(nil, ancestorOffset) {
+		if !kv.Restore(nil, rewindTarget) {
 			kv.Free()
 		}
 	}
@@ -199,10 +191,12 @@ func (c *kvCache) switchToPath(newPath []*trieNode) {
 	// Page in — walk the full new path, restoring from snapshots.
 	// Freed caches naturally pick up the first available snapshot.
 	// Caches already past a node skip it via offset check.
+pageIn:
 	for _, node := range newPath {
-		if len(node.snapshots) == 0 {
+		if !node.hasSnapshots() {
 			continue
 		}
+		nodeTarget := min(node.endOffset, matched)
 		for j, kv := range c.caches {
 			if kv == nil {
 				continue
@@ -210,19 +204,18 @@ func (c *kvCache) switchToPath(newPath []*trieNode) {
 			if j >= len(node.snapshots) || node.snapshots[j] == nil {
 				continue
 			}
-			if kv.Offset() >= node.endOffset {
+			if kv.Offset() >= nodeTarget {
 				continue
 			}
-			if !kv.Restore(node.snapshots[j], node.endOffset) {
-				slog.Warn("cache restore failure during page-in, freeing all caches", "layer", j, "offset", node.startOffset())
-				c.freeAll()
-				c.activePath = []*trieNode{c.root}
-				return
+			if !kv.Restore(node.snapshots[j], nodeTarget) {
+				// Restore failed — stop page-in and let alignment
+				// bring all caches to a consistent offset.
+				break pageIn
 			}
 		}
 		if node.endOffset > ancestorOffset {
 			pageInCount++
-			logutil.Trace(fmt.Sprintf("page in: [%d, %d)", node.startOffset(), node.endOffset))
+			logutil.Trace(fmt.Sprintf("page in: [%d, %d)", node.startOffset(), nodeTarget))
 		}
 	}

@@ -536,6 +529,9 @@ func (c *kvCache) dumpTree() {
 		if nodeBytes > 0 {
 			label += " " + mlx.PrettyBytes(int(nodeBytes)).String()
 		}
+		if !n.lastUsed.IsZero() {
+			label += fmt.Sprintf(" %s ago", time.Since(n.lastUsed).Truncate(time.Millisecond))
+		}
 		var flags []string
 		if n.user {
 			flags = append(flags, "user")
--- a/x/mlxrunner/cache/cache.go
+++ b/x/mlxrunner/cache/cache.go
@@ -17,7 +17,8 @@ type Cache interface {
 	Snapshot(fromOffset int) Snapshot

 	// Restore brings the cache to target. If snapshot is nil, rewinds
-	// using the cache's own live state.
+	// using the cache's own live state. Returns false if the target is
+	// unreachable (e.g. target > current offset, or negative).
 	Restore(snapshot Snapshot, target int) bool

 	// Merge combines two sequential snapshots [a,b) and [b,c) into [a,c).
@@ -122,17 +123,21 @@ func (c *KVCache) Snapshot(fromOffset int) Snapshot {
 }

 func (c *KVCache) Restore(snapshot Snapshot, target int) bool {
+	if target < 0 {
+		return false
+	}
+
 	if snapshot == nil {
-		// Rewind using live state — just clamp offset.
-		target = max(0, min(target, c.offset))
+		if target > c.offset {
+			return false
+		}
 		c.offset = target
 		return true
 	}

 	snap := snapshot.(*kvSnapshot)

-	// Check that the cache has data up to the snapshot's starting point.
-	if c.offset < snap.fromOffset {
+	if target > snap.toOffset || c.offset < snap.fromOffset {
 		return false
 	}

@@ -354,7 +359,14 @@ func (c *RotatingKVCache) Snapshot(fromOffset int) Snapshot {
 }

 func (c *RotatingKVCache) Restore(snapshot Snapshot, target int) bool {
+	if target < 0 {
+		return false
+	}
+
 	if snapshot == nil {
+		if target >= c.offset {
+			return target == c.offset
+		}
 		// Live rewind is only safe when the buffer hasn't filled yet
 		// (offset <= maxSize). Once the window has shifted, rewinding
 		// leaves fewer than maxSize trailing tokens to attend to —
@@ -362,7 +374,6 @@ func (c *RotatingKVCache) Restore(snapshot Snapshot, target int) bool {
 		if c.offset > c.maxSize {
 			return false
 		}
-		target = max(0, min(target, c.offset))
 		c.offset = target
 		c.idx = target
 		return true
@@ -370,6 +381,10 @@ func (c *RotatingKVCache) Restore(snapshot Snapshot, target int) bool {

 	snap := snapshot.(*rotatingSnapshot)

+	if target > snap.toOffset {
+		return false
+	}
+
 	// Reject if clamping would leave an incomplete window.
 	if target < snap.toOffset && snap.toOffset > c.maxSize {
 		return false
@@ -388,7 +403,6 @@ func (c *RotatingKVCache) Restore(snapshot Snapshot, target int) bool {

 	// Clamp to target if needed.
 	if target < c.offset {
-		target = max(0, target)
 		c.offset = target
 		c.idx = target
 	}
--- a/x/mlxrunner/cache/recurrent.go
+++ b/x/mlxrunner/cache/recurrent.go
@@ -22,14 +22,9 @@ func (c *RecurrentCache) setStateRaw(old, v *mlx.Array) *mlx.Array {
 	if v == nil || !v.Valid() {
 		return old
 	}
-	if old == v {
-		return old
-	}

 	mlx.Pin(v)
-	if old != nil && old != v {
-		mlx.Unpin(old)
-	}
+	mlx.Unpin(old)

 	return v
 }
@@ -38,9 +33,6 @@ func (c *RecurrentCache) setStateDetached(old, v *mlx.Array, ensureContiguous bo
 	if v == nil || !v.Valid() {
 		return old
 	}
-	if old == v {
-		return old
-	}

 	root := v
 	if ensureContiguous {
@@ -49,9 +41,7 @@ func (c *RecurrentCache) setStateDetached(old, v *mlx.Array, ensureContiguous bo
 	detached := root.Clone()

 	mlx.Pin(detached)
-	if old != nil && old != detached {
-		mlx.Unpin(old)
-	}
+	mlx.Unpin(old)

 	return detached
 }
@@ -150,10 +140,10 @@ func (c *RecurrentCache) Restore(snapshot Snapshot, target int) bool {

 	snap := snapshot.(*recurrentSnapshot)

-	// Recurrent state encodes all tokens up to snap.offset. Restoring
-	// to a target before that would leave stale state from tokens
-	// [target, snap.offset) baked in. Only allow restoring forward.
-	if target < snap.offset {
+	// Recurrent snapshots encode cumulative state up to exactly
+	// snap.offset. Target must match — rewinding would leave stale
+	// state, and advancing isn't possible without feeding tokens.
+	if target != snap.offset {
 		return false
 	}

--- a/x/mlxrunner/cache/recurrent_test.go
+++ b/x/mlxrunner/cache/recurrent_test.go
@@ -6,39 +6,35 @@ import (
 	"github.com/ollama/ollama/x/mlxrunner/mlx"
 )

-// TestRecurrentCacheRestoreDirectionality verifies that RecurrentCache only
-// allows restoring forward (target >= snapshot offset), never backward.
-func TestRecurrentCacheRestoreDirectionality(t *testing.T) {
+// TestRecurrentCacheRestoreExactOffset verifies that RecurrentCache restore
+// only succeeds when target exactly matches the snapshot's offset. Recurrent
+// state is cumulative, so it can't be rewound or fast-forwarded.
+func TestRecurrentCacheRestoreExactOffset(t *testing.T) {
 	skipIfNoMLX(t)
 	c := NewRecurrentCache(3, 12, 4, 8, 8)
 	_ = c.ConvState(1, mlx.DTypeFloat16)
 	_ = c.DeltaState(1, mlx.DTypeFloat16)
 	c.Advance(10)

-	snap := c.Snapshot(0)
+	snap := c.Snapshot(0) // snap.offset == 10

-	c.Advance(5) // now at 15
+	c.Advance(5) // cache now at 15

-	// Restore backward should fail.
+	// target < snap.offset: fails (can't rewind past snapshot)
 	if c.Restore(snap, 5) {
-		t.Fatal("Restore(snap, 5) should fail — target < snap.offset")
+		t.Fatal("Restore(snap, 5) should fail — target != snap.offset")
 	}

-	// Restore to exact snap offset should succeed.
+	// target > snap.offset: fails (can't advance without feeding tokens)
+	if c.Restore(snap, 15) {
+		t.Fatal("Restore(snap, 15) should fail — target != snap.offset")
+	}
+
+	// target == snap.offset: succeeds
 	if !c.Restore(snap, 10) {
-		t.Fatal("Restore(snap, 10) should succeed")
+		t.Fatal("Restore(snap, 10) should succeed — target == snap.offset")
 	}
 	if c.Offset() != 10 {
 		t.Fatalf("offset = %d, want 10", c.Offset())
 	}
-
-	// Restore forward (target > snap offset) should succeed, offset = snap.offset.
-	snap2 := c.Snapshot(0)
-	if !c.Restore(snap2, 15) {
-		t.Fatal("Restore(snap, 15) should succeed")
-	}
-	// Recurrent state is at snap.offset (10), not target (15).
-	if c.Offset() != 10 {
-		t.Fatalf("offset = %d, want 10 (snap offset)", c.Offset())
-	}
 }
--- a/x/mlxrunner/cache_test.go
+++ b/x/mlxrunner/cache_test.go
@@ -79,20 +79,20 @@ func (c *fakeRewindableCache) Snapshot(fromOffset int) cache.Snapshot {
 }

 func (c *fakeRewindableCache) Restore(snapshot cache.Snapshot, target int) bool {
+	if target < 0 {
+		return false
+	}
+
 	if snapshot == nil {
-		// Rewind live state.
-		if target < 0 {
-			target = 0
-		}
 		if target > len(c.tokens) {
-			target = len(c.tokens)
+			return false
 		}
 		c.tokens = c.tokens[:target]
 		return true
 	}
 	s := snapshot.(*fakeSnapshot)
-	if len(c.tokens) < s.from {
-		return false // don't have base data up to snapshot start
+	if target > s.to || len(c.tokens) < s.from {
+		return false
 	}
 	c.tokens = append(c.tokens[:s.from], s.tokens...)
 	if target < len(c.tokens) {
@@ -196,9 +196,13 @@ func (c *fakeSlidingWindowCache) Snapshot(fromOffset int) cache.Snapshot {
 }

 func (c *fakeSlidingWindowCache) Restore(snapshot cache.Snapshot, target int) bool {
+	if target < 0 {
+		return false
+	}
+
 	if snapshot == nil {
-		if target == len(c.tokens) {
-			return true
+		if target >= len(c.tokens) {
+			return target == len(c.tokens)
 		}
 		// Live rewind only works when buffer hasn't filled (offset <= maxSize).
 		if len(c.tokens) > c.maxSize {
@@ -208,6 +212,14 @@ func (c *fakeSlidingWindowCache) Restore(snapshot cache.Snapshot, target int) bo
 		return true
 	}
 	s := snapshot.(*fakeSnapshot)
+	if target > s.to {
+		return false
+	}
+	// Reject if clamping would leave an incomplete window
+	// (matches RotatingKVCache behavior).
+	if target < s.to && s.to > c.maxSize {
+		return false
+	}
 	c.tokens = slices.Clone(s.tokens)
 	if target < len(c.tokens) {
 		c.tokens = c.tokens[:target]
@@ -268,8 +280,8 @@ func (c *fakeRecurrentCache) Restore(snapshot cache.Snapshot, target int) bool {
 		return target == len(c.tokens) // can only no-op
 	}
 	s := snapshot.(*fakeSnapshot)
-	if target < s.to {
-		return false // can't go backward
+	if target != s.to {
+		return false // cumulative state requires exact match
 	}
 	c.tokens = slices.Clone(s.tokens)
 	return true
@@ -294,9 +306,10 @@ type feedableCache interface {

 // testEnv encapsulates a kvCache and its fake caches for a test scenario.
 type testEnv struct {
-	kvc     *kvCache
-	caches  []cache.Cache // typed references for assertions
-	tracker *snapshotTracker
+	kvc        *kvCache
+	caches     []cache.Cache // typed references for assertions
+	tracker    *snapshotTracker
+	rewindable bool // true when all caches support arbitrary Restore(nil, target)
 }

 // newTransformerEnv creates a test environment with a single rewindable cache
@@ -305,23 +318,28 @@ func newTransformerEnv() *testEnv {
 	tracker := &snapshotTracker{}
 	caches := []cache.Cache{&fakeRewindableCache{tracker: tracker}}
 	return &testEnv{
-		kvc:     &kvCache{caches: caches},
-		caches:  caches,
-		tracker: tracker,
+		kvc:        &kvCache{caches: caches},
+		caches:     caches,
+		tracker:    tracker,
+		rewindable: true,
 	}
 }

 // newSlidingWindowEnv creates a test environment with one rewindable cache and
-// one sliding window cache (Mistral-style architecture).
+// one sliding window cache (Mistral-style architecture). The sliding window
+// maxSize is set small enough that test sequences fill it, making
+// Restore(nil, target) fail — the same behavior as production models where
+// the window fills after a few turns.
 func newSlidingWindowEnv() *testEnv {
 	tr := &snapshotTracker{}
 	rc := &fakeRewindableCache{tracker: tr}
-	sw := &fakeSlidingWindowCache{maxSize: 32, tracker: tr}
+	sw := &fakeSlidingWindowCache{maxSize: 4, tracker: tr}
 	caches := []cache.Cache{rc, sw}
 	return &testEnv{
-		kvc:     &kvCache{caches: caches},
-		caches:  caches,
-		tracker: tr,
+		kvc:        &kvCache{caches: caches},
+		caches:     caches,
+		tracker:    tr,
+		rewindable: false,
 	}
 }

@@ -333,9 +351,10 @@ func newRecurrentEnv() *testEnv {
 	nrc := &fakeRecurrentCache{tracker: tr}
 	caches := []cache.Cache{rc, nrc}
 	return &testEnv{
-		kvc:     &kvCache{caches: caches},
-		caches:  caches,
-		tracker: tr,
+		kvc:        &kvCache{caches: caches},
+		caches:     caches,
+		tracker:    tr,
+		rewindable: false,
 	}
 }

@@ -590,15 +609,24 @@ func TestBranchCreationAndReuse(t *testing.T) {
 		}

 		// Request B: [1,2,3,4,5,10,11,12] — shares 5-token prefix with A.
-		// Partial match in A's edge triggers snapshotOffset.
+		// For rewindable caches, switchToPath rewinds to the match point
+		// so only the non-matching suffix needs evaluation. For non-rewindable
+		// caches (RecurrentCache), the rewind fails and freeAll fires.
 		resB := simulateRequest(t, kvc, []int32{1, 2, 3, 4, 5, 10, 11, 12}, []int32{30, 31})
-		if resB.snapshotOffset != 5 {
-			t.Fatalf("B: snapshotOffset = %d, want 5", resB.snapshotOffset)
-		}
-		// Cache was rewound to 0 (partial match truncates path to root),
-		// so all tokens were re-evaluated.
-		if len(resB.remaining) != 8 {
-			t.Fatalf("B: remaining = %d, want 8", len(resB.remaining))
+		if env.rewindable {
+			if resB.snapshotOffset != 0 {
+				t.Fatalf("B: snapshotOffset = %d, want 0 (rewind succeeded)", resB.snapshotOffset)
+			}
+			if len(resB.remaining) != 3 {
+				t.Fatalf("B: remaining = %d, want 3 (rewind to match point)", len(resB.remaining))
+			}
+		} else {
+			if resB.snapshotOffset != 5 {
+				t.Fatalf("B: snapshotOffset = %d, want 5", resB.snapshotOffset)
+			}
+			if len(resB.remaining) != 8 {
+				t.Fatalf("B: remaining = %d, want 8 (freeAll fallback)", len(resB.remaining))
+			}
 		}
 		env.assertAllTokens(t, "after B", []int32{1, 2, 3, 4, 5, 10, 11, 12, 30, 31})

@@ -635,14 +663,24 @@ func TestExactMatchSeedBehavior(t *testing.T) {
 		simulateRequest(t, kvc, []int32{1, 2, 3, 4, 5}, []int32{10, 11})

 		// Request B: identical prompt. Holdback means matched=4, partial in
-		// the 5-token edge, so path truncates to root and all tokens are
-		// re-evaluated. snapshotOffset should be set at the holdback point.
+		// the 5-token edge. For rewindable caches, switchToPath rewinds to
+		// offset 4, so only the held-back token needs re-evaluation. For
+		// non-rewindable caches, the rewind fails and freeAll fires.
 		resB := simulateRequest(t, kvc, []int32{1, 2, 3, 4, 5}, []int32{20, 21})
-		if len(resB.remaining) != 5 {
-			t.Fatalf("B: remaining = %d, want 5 (full re-eval due to holdback)", len(resB.remaining))
-		}
-		if resB.snapshotOffset != 4 {
-			t.Fatalf("B: snapshotOffset = %d, want 4", resB.snapshotOffset)
+		if env.rewindable {
+			if len(resB.remaining) != 1 {
+				t.Fatalf("B: remaining = %d, want 1 (rewind to holdback point)", len(resB.remaining))
+			}
+			if resB.snapshotOffset != 0 {
+				t.Fatalf("B: snapshotOffset = %d, want 0 (rewind succeeded)", resB.snapshotOffset)
+			}
+		} else {
+			if len(resB.remaining) != 5 {
+				t.Fatalf("B: remaining = %d, want 5 (freeAll fallback)", len(resB.remaining))
+			}
+			if resB.snapshotOffset != 4 {
+				t.Fatalf("B: snapshotOffset = %d, want 4", resB.snapshotOffset)
+			}
 		}
 		env.assertAllTokens(t, "after B", []int32{1, 2, 3, 4, 5, 20, 21})

--- a/x/mlxrunner/client.go
+++ b/x/mlxrunner/client.go
@@ -2,6 +2,7 @@ package mlxrunner

 import (
 	"bufio"
+	"bytes"
 	"context"
 	"encoding/json"
 	"errors"
@@ -36,14 +37,69 @@ type Client struct {
 	modelName     string
 	contextLength atomic.Int64
 	memory        atomic.Uint64
-	done          chan error
+	done          chan struct{}
+	doneErr       error // valid after done is closed
 	client        *http.Client
-	lastErr       string
-	lastErrLock   sync.Mutex
+	status        *statusWriter
 	mu            sync.Mutex
 	cmd           *exec.Cmd
 }

+// statusWriter captures the last stderr line from the subprocess while
+// forwarding all output to os.Stderr. Lines longer than maxStatusLen are
+// truncated to the first maxStatusLen bytes.
+type statusWriter struct {
+	lastErrMsg string
+	buf        []byte
+	discarding bool
+	mu         sync.Mutex
+	out        *os.File
+}
+
+const maxStatusLen = 256
+
+func (w *statusWriter) Write(b []byte) (int, error) {
+	n, err := w.out.Write(b)
+
+	w.mu.Lock()
+	defer w.mu.Unlock()
+
+	w.buf = append(w.buf, b...)
+	for {
+		i := bytes.IndexByte(w.buf, '\n')
+		if i < 0 {
+			break
+		}
+		if !w.discarding {
+			line := bytes.TrimSpace(w.buf[:i])
+			if len(line) > 0 {
+				if len(line) > maxStatusLen {
+					line = line[:maxStatusLen]
+				}
+				w.lastErrMsg = string(line)
+			}
+		}
+		w.buf = w.buf[i+1:]
+		w.discarding = false
+	}
+	// if the buffer grows past maxStatusLen without a newline, keep the front
+	if len(w.buf) > maxStatusLen {
+		if !w.discarding {
+			w.lastErrMsg = string(bytes.TrimSpace(w.buf[:maxStatusLen]))
+			w.discarding = true
+		}
+		w.buf = w.buf[:0]
+	}
+
+	return n, err
+}
+
+func (w *statusWriter) getLastErr() string {
+	w.mu.Lock()
+	defer w.mu.Unlock()
+	return w.lastErrMsg
+}
+
 // NewClient prepares a new MLX runner client for LLM models.
 // The subprocess is not started until Load() is called.
 func NewClient(modelName string) (*Client, error) {
@@ -53,7 +109,7 @@ func NewClient(modelName string) (*Client, error) {

 	c := &Client{
 		modelName: modelName,
-		done:      make(chan error, 1),
+		done:      make(chan struct{}),
 		client:    &http.Client{Timeout: 10 * time.Minute},
 	}

@@ -66,12 +122,6 @@ func NewClient(modelName string) (*Client, error) {
 	return c, nil
 }

-func (c *Client) getLastErr() string {
-	c.lastErrLock.Lock()
-	defer c.lastErrLock.Unlock()
-	return c.lastErr
-}
-
 // WaitUntilRunning waits for the subprocess to be ready.
 func (c *Client) WaitUntilRunning(ctx context.Context) error {
 	timeout := time.After(2 * time.Minute)
@@ -82,16 +132,14 @@ func (c *Client) WaitUntilRunning(ctx context.Context) error {
 		select {
 		case <-ctx.Done():
 			return ctx.Err()
-		case err := <-c.done:
-			errMsg := c.getLastErr()
-			if errMsg != "" {
-				return fmt.Errorf("mlx runner failed: %s (exit: %v)", errMsg, err)
+		case <-c.done:
+			if msg := c.status.getLastErr(); msg != "" {
+				return fmt.Errorf("mlx runner failed: %s (exit: %v)", msg, c.doneErr)
 			}
-			return fmt.Errorf("mlx runner exited unexpectedly: %w", err)
+			return fmt.Errorf("mlx runner exited unexpectedly: %w", c.doneErr)
 		case <-timeout:
-			errMsg := c.getLastErr()
-			if errMsg != "" {
-				return fmt.Errorf("timeout waiting for mlx runner: %s", errMsg)
+			if msg := c.status.getLastErr(); msg != "" {
+				return fmt.Errorf("timeout waiting for mlx runner: %s", msg)
 			}
 			return errors.New("timeout waiting for mlx runner to start")
 		case <-ticker.C:
@@ -182,6 +230,9 @@ func (c *Client) Completion(ctx context.Context, req llm.CompletionRequest, fn f

 	resp, err := c.client.Do(httpReq)
 	if err != nil {
+		if errMsg := c.status.getLastErr(); errMsg != "" {
+			return fmt.Errorf("mlx runner failed: %s", errMsg)
+		}
 		return err
 	}
 	defer resp.Body.Close()
@@ -219,7 +270,13 @@ func (c *Client) Completion(ctx context.Context, req llm.CompletionRequest, fn f
 		}
 	}

-	return scanner.Err()
+	if err := scanner.Err(); err != nil {
+		if errMsg := c.status.getLastErr(); errMsg != "" {
+			return fmt.Errorf("mlx runner failed: %s", errMsg)
+		}
+		return err
+	}
+	return nil
 }

 func (c *Client) ContextLength() int {
@@ -348,18 +405,13 @@ func (c *Client) Load(ctx context.Context, _ ml.SystemInfo, gpus []ml.DeviceInfo
 	// Forward subprocess stdout/stderr to server logs
 	stdout, _ := cmd.StdoutPipe()
 	stderr, _ := cmd.StderrPipe()
+	status := &statusWriter{out: os.Stderr}
+	c.status = status
 	go func() {
 		io.Copy(os.Stderr, stdout) //nolint:errcheck
 	}()
 	go func() {
-		scanner := bufio.NewScanner(stderr)
-		for scanner.Scan() {
-			line := scanner.Text()
-			fmt.Fprintln(os.Stderr, line)
-			c.lastErrLock.Lock()
-			c.lastErr = line
-			c.lastErrLock.Unlock()
-		}
+		io.Copy(status, stderr) //nolint:errcheck
 	}()

 	slog.Info("starting mlx runner subprocess", "model", c.modelName, "port", c.port)
@@ -369,8 +421,8 @@ func (c *Client) Load(ctx context.Context, _ ml.SystemInfo, gpus []ml.DeviceInfo

 	// Reap subprocess when it exits
 	go func() {
-		err := cmd.Wait()
-		c.done <- err
+		c.doneErr = cmd.Wait()
+		close(c.done)
 	}()

 	return nil, nil
--- a/x/mlxrunner/mlx/CMakeLists.txt
+++ b/x/mlxrunner/mlx/CMakeLists.txt
@@ -15,7 +15,9 @@ set(CMAKE_INSTALL_RPATH "@loader_path")

 include(FetchContent)

-set(MLX_C_GIT_TAG "v0.5.0" CACHE STRING "")
+# Read MLX-C version from top-level file (shared with imagegen CMakeLists)
+file(READ "${CMAKE_SOURCE_DIR}/MLX_C_VERSION" MLX_C_GIT_TAG)
+string(STRIP "${MLX_C_GIT_TAG}" MLX_C_GIT_TAG)

 FetchContent_Declare(
  mlx-c
--- a/x/mlxrunner/mlx/array.go
+++ b/x/mlxrunner/mlx/array.go
@@ -137,6 +137,9 @@ func Unpin(s ...*Array) {
 	for _, t := range s {
 		if t != nil {
 			t.pinned--
+			if t.pinned < 0 {
+				panic(fmt.Sprintf("mlx.Unpin: negative pin count on array %q", t.name))
+			}
 		}
 	}
 }
@@ -261,7 +264,7 @@ func LogArrays() {

 	for _, t := range arrays {
 		nb := t.NumBytes()
-		logutil.Trace(fmt.Sprintf("tensor %-60s %5s %5s %v", t.name, t.DType(), PrettyBytes(nb), t.Dims()))
+		logutil.Trace(fmt.Sprintf("tensor %-60s %5s %5s pinned=%d %v", t.name, t.DType(), PrettyBytes(nb), t.pinned, t.Dims()))
 	}
 	logutil.Trace(fmt.Sprintf("tensors total: %d, size: %s", len(arrays), PrettyBytes(ActiveMemory())))
 }
--- a/x/mlxrunner/mlx/gated_delta.go
+++ b/x/mlxrunner/mlx/gated_delta.go
@@ -13,6 +13,10 @@ var (
 	gatedDeltaMetalKernelOnce sync.Once
 	gatedDeltaMetalKernel     C.mlx_fast_metal_kernel
 	gatedDeltaMetalDisabled   bool
+
+	gatedDeltaCUDAKernelOnce sync.Once
+	gatedDeltaCUDAKernel     C.mlx_fast_cuda_kernel
+	gatedDeltaCUDADisabled   bool
 )

 const gatedDeltaMetalKernelSource = `
@@ -83,6 +87,86 @@ for (int i = 0; i < n_per_t; ++i) {
 }
 `

+const gatedDeltaCUDAKernelSource = `
+auto tid_x = threadIdx.x;
+auto tid_y = threadIdx.y;
+auto grid_y = blockIdx.y * blockDim.y + tid_y;
+auto grid_z = blockIdx.z;
+
+int T_val = static_cast<int>(*T);
+
+auto n = grid_z;
+auto b_idx = n / Hv;
+auto hv_idx = n % Hv;
+auto hk_idx = hv_idx / (Hv / Hk);
+constexpr int n_per_t = Dk / 32;
+
+// q, k: [B, T, Hk, Dk]
+auto q_ = q + b_idx * T_val * Hk * Dk + hk_idx * Dk;
+auto k_ = k + b_idx * T_val * Hk * Dk + hk_idx * Dk;
+
+// v, y: [B, T, Hv, Dv]
+auto dv_idx = grid_y;
+auto v_ = v + b_idx * T_val * Hv * Dv + hv_idx * Dv;
+y += b_idx * T_val * Hv * Dv + hv_idx * Dv;
+
+auto dk_idx = tid_x;
+
+// state_in, state_out: [B, Hv, Dv, Dk]
+auto i_state = state_in + (n * Dv + dv_idx) * Dk;
+auto o_state = state_out + (n * Dv + dv_idx) * Dk;
+
+float state[n_per_t];
+for (int i = 0; i < n_per_t; ++i) {
+  auto s_idx = n_per_t * dk_idx + i;
+  state[i] = static_cast<float>(i_state[s_idx]);
+}
+
+// g: [B, T, Hv]
+auto g_ = g + b_idx * T_val * Hv;
+auto beta_ = beta + b_idx * T_val * Hv;
+
+for (int t = 0; t < T_val; ++t) {
+  float kv_mem = 0.0f;
+  for (int i = 0; i < n_per_t; ++i) {
+    auto s_idx = n_per_t * dk_idx + i;
+    state[i] = state[i] * static_cast<float>(g_[hv_idx]);
+    kv_mem += state[i] * static_cast<float>(k_[s_idx]);
+  }
+  // Warp reduction (full warp, 32 threads in x)
+  for (int offset = 16; offset > 0; offset >>= 1)
+    kv_mem += __shfl_down_sync(0xffffffff, kv_mem, offset);
+  kv_mem = __shfl_sync(0xffffffff, kv_mem, 0);
+
+  auto delta = (static_cast<float>(v_[dv_idx]) - kv_mem) * static_cast<float>(beta_[hv_idx]);
+
+  float out = 0.0f;
+  for (int i = 0; i < n_per_t; ++i) {
+    auto s_idx = n_per_t * dk_idx + i;
+    state[i] = state[i] + static_cast<float>(k_[s_idx]) * delta;
+    out += state[i] * static_cast<float>(q_[s_idx]);
+  }
+  // Warp reduction
+  for (int offset = 16; offset > 0; offset >>= 1)
+    out += __shfl_down_sync(0xffffffff, out, offset);
+  if (tid_x == 0) {
+    y[dv_idx] = static_cast<InT>(out);
+  }
+
+  q_ += Hk * Dk;
+  k_ += Hk * Dk;
+  v_ += Hv * Dv;
+  y += Hv * Dv;
+  g_ += Hv;
+  beta_ += Hv;
+}
+
+for (int i = 0; i < n_per_t; ++i) {
+  auto s_idx = n_per_t * dk_idx + i;
+  o_state[s_idx] = static_cast<InT>(state[i]);
+}
+`
+
 func cStringVector(values []string) (C.mlx_vector_string, func(), bool) {
 	vec := C.mlx_vector_string_new()
 	ok := true
@@ -352,11 +436,184 @@ func gatedDeltaFallback(q, k, v, g, beta, state *Array) (y, nextState *Array) {
 	return Concatenate(outs, 1), nextState
 }

+func initGatedDeltaCUDAKernel() {
+	var cudaAvail C.bool
+	if C.mlx_cuda_is_available(&cudaAvail) != 0 || !bool(cudaAvail) {
+		gatedDeltaCUDADisabled = true
+		return
+	}
+
+	inputs, freeInputs, ok := cStringVector([]string{"q", "k", "v", "g", "beta", "state_in", "T"})
+	if !ok {
+		gatedDeltaCUDADisabled = true
+		freeInputs()
+		return
+	}
+	defer freeInputs()
+
+	outputs, freeOutputs, ok := cStringVector([]string{"y", "state_out"})
+	if !ok {
+		gatedDeltaCUDADisabled = true
+		freeOutputs()
+		return
+	}
+	defer freeOutputs()
+
+	cName := C.CString("gated_delta_step")
+	defer C.free(unsafe.Pointer(cName))
+	cSource := C.CString(gatedDeltaCUDAKernelSource)
+	defer C.free(unsafe.Pointer(cSource))
+	cHeader := C.CString("")
+	defer C.free(unsafe.Pointer(cHeader))
+
+	gatedDeltaCUDAKernel = C.mlx_fast_cuda_kernel_new(
+		cName,
+		inputs,
+		outputs,
+		cSource,
+		cHeader,
+		C.bool(true),
+		C.int(0),
+	)
+}
+
+func gatedDeltaCUDAKernelApply(q, k, v, g, beta, state *Array) (y, nextState *Array, ok bool) {
+	if gatedDeltaCUDADisabled {
+		return nil, nil, false
+	}
+	if q == nil || k == nil || v == nil || g == nil || beta == nil || state == nil {
+		return nil, nil, false
+	}
+
+	qd := q.Dims()
+	kd := k.Dims()
+	vd := v.Dims()
+	gd := g.Dims()
+	bd := beta.Dims()
+	sd := state.Dims()
+	if len(qd) != 4 || len(kd) != 4 || len(vd) != 4 || len(gd) != 3 || len(bd) != 3 || len(sd) != 4 {
+		return nil, nil, false
+	}
+
+	B, T, Hk, Dk := qd[0], qd[1], qd[2], qd[3]
+	if T <= 0 || Hk <= 0 || Dk <= 0 || Dk%32 != 0 {
+		return nil, nil, false
+	}
+	if kd[0] != B || kd[1] != T || kd[2] != Hk || kd[3] != Dk {
+		return nil, nil, false
+	}
+	Hv, Dv := vd[2], vd[3]
+	if vd[0] != B || vd[1] != T || Hv <= 0 || Dv <= 0 || Hv%Hk != 0 {
+		return nil, nil, false
+	}
+	if gd[0] != B || gd[1] != T || gd[2] != Hv {
+		return nil, nil, false
+	}
+	if bd[0] != B || bd[1] != T || bd[2] != Hv {
+		return nil, nil, false
+	}
+	if sd[0] != B || sd[1] != Hv || sd[2] != Dv || sd[3] != Dk {
+		return nil, nil, false
+	}
+
+	dtype := q.DType()
+	if k.DType() != dtype || v.DType() != dtype || g.DType() != dtype || beta.DType() != dtype || state.DType() != dtype {
+		return nil, nil, false
+	}
+
+	gatedDeltaCUDAKernelOnce.Do(initGatedDeltaCUDAKernel)
+	if gatedDeltaCUDADisabled {
+		return nil, nil, false
+	}
+
+	cfg := C.mlx_fast_cuda_kernel_config_new()
+	defer C.mlx_fast_cuda_kernel_config_free(cfg)
+
+	cInT := C.CString("InT")
+	defer C.free(unsafe.Pointer(cInT))
+	if C.mlx_fast_cuda_kernel_config_add_template_arg_dtype(cfg, cInT, C.mlx_dtype(dtype)) != 0 {
+		gatedDeltaCUDADisabled = true
+		return nil, nil, false
+	}
+	for _, tpl := range []struct {
+		name  string
+		value int
+	}{
+		{name: "Dk", value: Dk},
+		{name: "Dv", value: Dv},
+		{name: "Hk", value: Hk},
+		{name: "Hv", value: Hv},
+	} {
+		cn := C.CString(tpl.name)
+		rc := C.mlx_fast_cuda_kernel_config_add_template_arg_int(cfg, cn, C.int(tpl.value))
+		C.free(unsafe.Pointer(cn))
+		if rc != 0 {
+			gatedDeltaCUDADisabled = true
+			return nil, nil, false
+		}
+	}
+
+	yShape := []C.int{C.int(B), C.int(T), C.int(Hv), C.int(Dv)}
+	stateShape := []C.int{C.int(B), C.int(Hv), C.int(Dv), C.int(Dk)}
+	if C.mlx_fast_cuda_kernel_config_add_output_arg(cfg, unsafe.SliceData(yShape), C.size_t(len(yShape)), C.mlx_dtype(dtype)) != 0 {
+		gatedDeltaCUDADisabled = true
+		return nil, nil, false
+	}
+	if C.mlx_fast_cuda_kernel_config_add_output_arg(cfg, unsafe.SliceData(stateShape), C.size_t(len(stateShape)), C.mlx_dtype(dtype)) != 0 {
+		gatedDeltaCUDADisabled = true
+		return nil, nil, false
+	}
+	if C.mlx_fast_cuda_kernel_config_set_grid(cfg, 32, C.int(Dv), C.int(B*Hv)) != 0 {
+		gatedDeltaCUDADisabled = true
+		return nil, nil, false
+	}
+	threadY := Dv
+	if threadY > 4 {
+		threadY = 4
+	}
+	if C.mlx_fast_cuda_kernel_config_set_thread_group(cfg, 32, C.int(threadY), 1) != 0 {
+		gatedDeltaCUDADisabled = true
+		return nil, nil, false
+	}
+
+	tScalar := FromValue(T)
+	inputs := []C.mlx_array{
+		q.ctx,
+		k.ctx,
+		v.ctx,
+		g.ctx,
+		beta.ctx,
+		state.ctx,
+		tScalar.ctx,
+	}
+	inVec := C.mlx_vector_array_new_data(unsafe.SliceData(inputs), C.size_t(len(inputs)))
+	defer C.mlx_vector_array_free(inVec)
+
+	outVec := C.mlx_vector_array_new()
+	defer C.mlx_vector_array_free(outVec)
+	if C.mlx_fast_cuda_kernel_apply(&outVec, gatedDeltaCUDAKernel, inVec, cfg, DefaultStream().ctx) != 0 {
+		gatedDeltaCUDADisabled = true
+		return nil, nil, false
+	}
+	if int(C.mlx_vector_array_size(outVec)) < 2 {
+		return nil, nil, false
+	}
+
+	y = New("GATED_DELTA_CUDA_Y")
+	nextState = New("GATED_DELTA_CUDA_STATE")
+	C.mlx_vector_array_get(&y.ctx, outVec, 0)
+	C.mlx_vector_array_get(&nextState.ctx, outVec, 1)
+	return y, nextState, true
+}
+
 // GatedDelta runs the recurrent update operation.
 //
-// It uses the fused Metal kernel when available and otherwise falls back to a
+// It tries the fused CUDA kernel first, then Metal, then falls back to a
 // backend-agnostic MLX implementation with identical inputs/outputs.
 func GatedDelta(q, k, v, g, beta, state *Array) (y, nextState *Array) {
+	if y, nextState, ok := gatedDeltaCUDAKernelApply(q, k, v, g, beta, state); ok {
+		return y, nextState
+	}
 	if y, nextState, ok := gatedDeltaKernel(q, k, v, g, beta, state); ok {
 		return y, nextState
 	}
--- a/x/mlxrunner/mlx/generated.c
+++ b/x/mlxrunner/mlx/generated.c
@@ -326,8 +326,10 @@ int (*mlx_distributed_sum_scatter_)(
 int (*mlx_distributed_group_rank_)(mlx_distributed_group group) = NULL;
 int (*mlx_distributed_group_size_)(mlx_distributed_group group) = NULL;
 mlx_distributed_group (*mlx_distributed_group_split_)(mlx_distributed_group group, int color, int key) = NULL;
-bool (*mlx_distributed_is_available_)(void) = NULL;
-mlx_distributed_group (*mlx_distributed_init_)(bool strict) = NULL;
+bool (*mlx_distributed_is_available_)(const char* bk /* may be null */) = NULL;
+mlx_distributed_group (*mlx_distributed_init_)(
+    bool strict,
+    const char* bk /* may be null */) = NULL;
 void (*mlx_set_error_handler_)(
    mlx_error_handler_func handler,
    void* data,
@@ -924,6 +926,7 @@ int (*mlx_astype_)(
 int (*mlx_atleast_1d_)(mlx_array* res, const mlx_array a, const mlx_stream s) = NULL;
 int (*mlx_atleast_2d_)(mlx_array* res, const mlx_array a, const mlx_stream s) = NULL;
 int (*mlx_atleast_3d_)(mlx_array* res, const mlx_array a, const mlx_stream s) = NULL;
+int (*mlx_bartlett_)(mlx_array* res, int M, const mlx_stream s) = NULL;
 int (*mlx_bitwise_and_)(
    mlx_array* res,
    const mlx_array a,
@@ -940,6 +943,7 @@ int (*mlx_bitwise_xor_)(
    const mlx_array a,
    const mlx_array b,
    const mlx_stream s) = NULL;
+int (*mlx_blackman_)(mlx_array* res, int M, const mlx_stream s) = NULL;
 int (*mlx_block_masked_mm_)(
    mlx_array* res,
    const mlx_array a,
@@ -1120,6 +1124,7 @@ int (*mlx_dequantize_)(
    mlx_optional_int group_size,
    mlx_optional_int bits,
    const char* mode,
+    const mlx_array global_scale /* may be null */,
    mlx_optional_dtype dtype,
    const mlx_stream s) = NULL;
 int (*mlx_diag_)(mlx_array* res, const mlx_array a, int k, const mlx_stream s) = NULL;
@@ -1256,6 +1261,8 @@ int (*mlx_hadamard_transform_)(
    const mlx_array a,
    mlx_optional_float scale,
    const mlx_stream s) = NULL;
+int (*mlx_hamming_)(mlx_array* res, int M, const mlx_stream s) = NULL;
+int (*mlx_hanning_)(mlx_array* res, int M, const mlx_stream s) = NULL;
 int (*mlx_identity_)(mlx_array* res, int n, mlx_dtype dtype, const mlx_stream s) = NULL;
 int (*mlx_imag_)(mlx_array* res, const mlx_array a, const mlx_stream s) = NULL;
 int (*mlx_inner_)(
@@ -1548,6 +1555,8 @@ int (*mlx_qqmm_)(
    mlx_optional_int group_size,
    mlx_optional_int bits,
    const char* mode,
+    const mlx_array global_scale_x /* may be null */,
+    const mlx_array global_scale_w /* may be null */,
    const mlx_stream s) = NULL;
 int (*mlx_quantize_)(
    mlx_vector_array* res,
@@ -1555,6 +1564,7 @@ int (*mlx_quantize_)(
    mlx_optional_int group_size,
    mlx_optional_int bits,
    const char* mode,
+    const mlx_array global_scale /* may be null */,
    const mlx_stream s) = NULL;
 int (*mlx_quantized_matmul_)(
    mlx_array* res,
@@ -2550,10 +2560,12 @@ int mlx_dynamic_load_symbols(mlx_dynamic_handle handle) {
    CHECK_LOAD(handle, mlx_atleast_1d);
    CHECK_LOAD(handle, mlx_atleast_2d);
    CHECK_LOAD(handle, mlx_atleast_3d);
+    CHECK_LOAD(handle, mlx_bartlett);
    CHECK_LOAD(handle, mlx_bitwise_and);
    CHECK_LOAD(handle, mlx_bitwise_invert);
    CHECK_LOAD(handle, mlx_bitwise_or);
    CHECK_LOAD(handle, mlx_bitwise_xor);
+    CHECK_LOAD(handle, mlx_blackman);
    CHECK_LOAD(handle, mlx_block_masked_mm);
    CHECK_LOAD(handle, mlx_broadcast_arrays);
    CHECK_LOAD(handle, mlx_broadcast_to);
@@ -2606,6 +2618,8 @@ int mlx_dynamic_load_symbols(mlx_dynamic_handle handle) {
    CHECK_LOAD(handle, mlx_greater);
    CHECK_LOAD(handle, mlx_greater_equal);
    CHECK_LOAD(handle, mlx_hadamard_transform);
+    CHECK_LOAD(handle, mlx_hamming);
+    CHECK_LOAD(handle, mlx_hanning);
    CHECK_LOAD(handle, mlx_identity);
    CHECK_LOAD(handle, mlx_imag);
    CHECK_LOAD(handle, mlx_inner);
--- a/x/mlxrunner/mlx/generated.h
+++ b/x/mlxrunner/mlx/generated.h
@@ -300,10 +300,12 @@
 #define mlx_atleast_1d mlx_atleast_1d_mlx_gen_orig_
 #define mlx_atleast_2d mlx_atleast_2d_mlx_gen_orig_
 #define mlx_atleast_3d mlx_atleast_3d_mlx_gen_orig_
+#define mlx_bartlett mlx_bartlett_mlx_gen_orig_
 #define mlx_bitwise_and mlx_bitwise_and_mlx_gen_orig_
 #define mlx_bitwise_invert mlx_bitwise_invert_mlx_gen_orig_
 #define mlx_bitwise_or mlx_bitwise_or_mlx_gen_orig_
 #define mlx_bitwise_xor mlx_bitwise_xor_mlx_gen_orig_
+#define mlx_blackman mlx_blackman_mlx_gen_orig_
 #define mlx_block_masked_mm mlx_block_masked_mm_mlx_gen_orig_
 #define mlx_broadcast_arrays mlx_broadcast_arrays_mlx_gen_orig_
 #define mlx_broadcast_to mlx_broadcast_to_mlx_gen_orig_
@@ -356,6 +358,8 @@
 #define mlx_greater mlx_greater_mlx_gen_orig_
 #define mlx_greater_equal mlx_greater_equal_mlx_gen_orig_
 #define mlx_hadamard_transform mlx_hadamard_transform_mlx_gen_orig_
+#define mlx_hamming mlx_hamming_mlx_gen_orig_
+#define mlx_hanning mlx_hanning_mlx_gen_orig_
 #define mlx_identity mlx_identity_mlx_gen_orig_
 #define mlx_imag mlx_imag_mlx_gen_orig_
 #define mlx_inner mlx_inner_mlx_gen_orig_
@@ -889,10 +893,12 @@
 #undef mlx_atleast_1d
 #undef mlx_atleast_2d
 #undef mlx_atleast_3d
+#undef mlx_bartlett
 #undef mlx_bitwise_and
 #undef mlx_bitwise_invert
 #undef mlx_bitwise_or
 #undef mlx_bitwise_xor
+#undef mlx_blackman
 #undef mlx_block_masked_mm
 #undef mlx_broadcast_arrays
 #undef mlx_broadcast_to
@@ -945,6 +951,8 @@
 #undef mlx_greater
 #undef mlx_greater_equal
 #undef mlx_hadamard_transform
+#undef mlx_hamming
+#undef mlx_hanning
 #undef mlx_identity
 #undef mlx_imag
 #undef mlx_inner
@@ -1501,8 +1509,10 @@ extern int (*mlx_distributed_sum_scatter_)(
 extern int (*mlx_distributed_group_rank_)(mlx_distributed_group group);
 extern int (*mlx_distributed_group_size_)(mlx_distributed_group group);
 extern mlx_distributed_group (*mlx_distributed_group_split_)(mlx_distributed_group group, int color, int key);
-extern bool (*mlx_distributed_is_available_)(void);
-extern mlx_distributed_group (*mlx_distributed_init_)(bool strict);
+extern bool (*mlx_distributed_is_available_)(const char* bk /* may be null */);
+extern mlx_distributed_group (*mlx_distributed_init_)(
+    bool strict,
+    const char* bk /* may be null */);
 extern void (*mlx_set_error_handler_)(
    mlx_error_handler_func handler,
    void* data,
@@ -2099,6 +2109,7 @@ extern int (*mlx_astype_)(
 extern int (*mlx_atleast_1d_)(mlx_array* res, const mlx_array a, const mlx_stream s);
 extern int (*mlx_atleast_2d_)(mlx_array* res, const mlx_array a, const mlx_stream s);
 extern int (*mlx_atleast_3d_)(mlx_array* res, const mlx_array a, const mlx_stream s);
+extern int (*mlx_bartlett_)(mlx_array* res, int M, const mlx_stream s);
 extern int (*mlx_bitwise_and_)(
    mlx_array* res,
    const mlx_array a,
@@ -2115,6 +2126,7 @@ extern int (*mlx_bitwise_xor_)(
    const mlx_array a,
    const mlx_array b,
    const mlx_stream s);
+extern int (*mlx_blackman_)(mlx_array* res, int M, const mlx_stream s);
 extern int (*mlx_block_masked_mm_)(
    mlx_array* res,
    const mlx_array a,
@@ -2295,6 +2307,7 @@ extern int (*mlx_dequantize_)(
    mlx_optional_int group_size,
    mlx_optional_int bits,
    const char* mode,
+    const mlx_array global_scale /* may be null */,
    mlx_optional_dtype dtype,
    const mlx_stream s);
 extern int (*mlx_diag_)(mlx_array* res, const mlx_array a, int k, const mlx_stream s);
@@ -2431,6 +2444,8 @@ extern int (*mlx_hadamard_transform_)(
    const mlx_array a,
    mlx_optional_float scale,
    const mlx_stream s);
+extern int (*mlx_hamming_)(mlx_array* res, int M, const mlx_stream s);
+extern int (*mlx_hanning_)(mlx_array* res, int M, const mlx_stream s);
 extern int (*mlx_identity_)(mlx_array* res, int n, mlx_dtype dtype, const mlx_stream s);
 extern int (*mlx_imag_)(mlx_array* res, const mlx_array a, const mlx_stream s);
 extern int (*mlx_inner_)(
@@ -2723,6 +2738,8 @@ extern int (*mlx_qqmm_)(
    mlx_optional_int group_size,
    mlx_optional_int bits,
    const char* mode,
+    const mlx_array global_scale_x /* may be null */,
+    const mlx_array global_scale_w /* may be null */,
    const mlx_stream s);
 extern int (*mlx_quantize_)(
    mlx_vector_array* res,
@@ -2730,6 +2747,7 @@ extern int (*mlx_quantize_)(
    mlx_optional_int group_size,
    mlx_optional_int bits,
    const char* mode,
+    const mlx_array global_scale /* may be null */,
    const mlx_stream s);
 extern int (*mlx_quantized_matmul_)(
    mlx_array* res,
@@ -4033,11 +4051,13 @@ static inline int mlx_distributed_group_size(mlx_distributed_group group) {
 static inline mlx_distributed_group mlx_distributed_group_split(mlx_distributed_group group, int color, int key) {
    return mlx_distributed_group_split_(group, color, key);
 }
-static inline bool mlx_distributed_is_available(void) {
-    return mlx_distributed_is_available_();
+static inline bool mlx_distributed_is_available(const char* bk /* may be null */) {
+    return mlx_distributed_is_available_(bk);
 }
-static inline mlx_distributed_group mlx_distributed_init(bool strict) {
-    return mlx_distributed_init_(strict);
+static inline mlx_distributed_group mlx_distributed_init(
+    bool strict,
+    const char* bk /* may be null */) {
+    return mlx_distributed_init_(strict, bk);
 }
 static inline void mlx_set_error_handler(
    mlx_error_handler_func handler,
@@ -4939,6 +4959,9 @@ static inline int mlx_atleast_2d(mlx_array* res, const mlx_array a, const mlx_st
 static inline int mlx_atleast_3d(mlx_array* res, const mlx_array a, const mlx_stream s) {
    return mlx_atleast_3d_(res, a, s);
 }
+static inline int mlx_bartlett(mlx_array* res, int M, const mlx_stream s) {
+    return mlx_bartlett_(res, M, s);
+}
 static inline int mlx_bitwise_and(
    mlx_array* res,
    const mlx_array a,
@@ -4963,6 +4986,9 @@ static inline int mlx_bitwise_xor(
    const mlx_stream s) {
    return mlx_bitwise_xor_(res, a, b, s);
 }
+static inline int mlx_blackman(mlx_array* res, int M, const mlx_stream s) {
+    return mlx_blackman_(res, M, s);
+}
 static inline int mlx_block_masked_mm(
    mlx_array* res,
    const mlx_array a,
@@ -5193,9 +5219,10 @@ static inline int mlx_dequantize(
    mlx_optional_int group_size,
    mlx_optional_int bits,
    const char* mode,
+    const mlx_array global_scale /* may be null */,
    mlx_optional_dtype dtype,
    const mlx_stream s) {
-    return mlx_dequantize_(res, w, scales, biases, group_size, bits, mode, dtype, s);
+    return mlx_dequantize_(res, w, scales, biases, group_size, bits, mode, global_scale, dtype, s);
 }
 static inline int mlx_diag(mlx_array* res, const mlx_array a, int k, const mlx_stream s) {
    return mlx_diag_(res, a, k, s);
@@ -5383,6 +5410,12 @@ static inline int mlx_hadamard_transform(
    const mlx_stream s) {
    return mlx_hadamard_transform_(res, a, scale, s);
 }
+static inline int mlx_hamming(mlx_array* res, int M, const mlx_stream s) {
+    return mlx_hamming_(res, M, s);
+}
+static inline int mlx_hanning(mlx_array* res, int M, const mlx_stream s) {
+    return mlx_hanning_(res, M, s);
+}
 static inline int mlx_identity(mlx_array* res, int n, mlx_dtype dtype, const mlx_stream s) {
    return mlx_identity_(res, n, dtype, s);
 }
@@ -5793,8 +5826,10 @@ static inline int mlx_qqmm(
    mlx_optional_int group_size,
    mlx_optional_int bits,
    const char* mode,
+    const mlx_array global_scale_x /* may be null */,
+    const mlx_array global_scale_w /* may be null */,
    const mlx_stream s) {
-    return mlx_qqmm_(res, x, w, w_scales, group_size, bits, mode, s);
+    return mlx_qqmm_(res, x, w, w_scales, group_size, bits, mode, global_scale_x, global_scale_w, s);
 }
 static inline int mlx_quantize(
    mlx_vector_array* res,
@@ -5802,8 +5837,9 @@ static inline int mlx_quantize(
    mlx_optional_int group_size,
    mlx_optional_int bits,
    const char* mode,
+    const mlx_array global_scale /* may be null */,
    const mlx_stream s) {
-    return mlx_quantize_(res, w, group_size, bits, mode, s);
+    return mlx_quantize_(res, w, group_size, bits, mode, global_scale, s);
 }
 static inline int mlx_quantized_matmul(
    mlx_array* res,
--- a/x/mlxrunner/mlx/include/mlx/c/README.md
+++ b/x/mlxrunner/mlx/include/mlx/c/README.md
@@ -1,7 +1,7 @@
 # Vendored MLX-C Headers

 These header files are vendored from [mlx-c](https://github.com/ml-explore/mlx-c).
-The pinned version is in `MLX_VERSION` at the repo root.
+The pinned version is in `MLX_C_VERSION` at the repo root.

 Headers are automatically refreshed when you run a CMake build:

--- a/x/mlxrunner/mlx/include/mlx/c/distributed_group.h
+++ b/x/mlxrunner/mlx/include/mlx/c/distributed_group.h
@@ -42,12 +42,14 @@ mlx_distributed_group_split(mlx_distributed_group group, int color, int key);
 /**
 * Check if distributed is available.
 */
-bool mlx_distributed_is_available(void);
+bool mlx_distributed_is_available(const char* bk /* may be null */);

 /**
 * Initialize distributed.
 */
-mlx_distributed_group mlx_distributed_init(bool strict);
+mlx_distributed_group mlx_distributed_init(
+    bool strict,
+    const char* bk /* may be null */);

 /**@}*/

--- a/x/mlxrunner/mlx/include/mlx/c/ops.h
+++ b/x/mlxrunner/mlx/include/mlx/c/ops.h
@@ -166,6 +166,7 @@ int mlx_astype(
 int mlx_atleast_1d(mlx_array* res, const mlx_array a, const mlx_stream s);
 int mlx_atleast_2d(mlx_array* res, const mlx_array a, const mlx_stream s);
 int mlx_atleast_3d(mlx_array* res, const mlx_array a, const mlx_stream s);
+int mlx_bartlett(mlx_array* res, int M, const mlx_stream s);
 int mlx_bitwise_and(
    mlx_array* res,
    const mlx_array a,
@@ -182,6 +183,7 @@ int mlx_bitwise_xor(
    const mlx_array a,
    const mlx_array b,
    const mlx_stream s);
+int mlx_blackman(mlx_array* res, int M, const mlx_stream s);
 int mlx_block_masked_mm(
    mlx_array* res,
    const mlx_array a,
@@ -362,6 +364,7 @@ int mlx_dequantize(
    mlx_optional_int group_size,
    mlx_optional_int bits,
    const char* mode,
+    const mlx_array global_scale /* may be null */,
    mlx_optional_dtype dtype,
    const mlx_stream s);
 int mlx_diag(mlx_array* res, const mlx_array a, int k, const mlx_stream s);
@@ -498,6 +501,8 @@ int mlx_hadamard_transform(
    const mlx_array a,
    mlx_optional_float scale,
    const mlx_stream s);
+int mlx_hamming(mlx_array* res, int M, const mlx_stream s);
+int mlx_hanning(mlx_array* res, int M, const mlx_stream s);
 int mlx_identity(mlx_array* res, int n, mlx_dtype dtype, const mlx_stream s);
 int mlx_imag(mlx_array* res, const mlx_array a, const mlx_stream s);
 int mlx_inner(
@@ -790,6 +795,8 @@ int mlx_qqmm(
    mlx_optional_int group_size,
    mlx_optional_int bits,
    const char* mode,
+    const mlx_array global_scale_x /* may be null */,
+    const mlx_array global_scale_w /* may be null */,
    const mlx_stream s);
 int mlx_quantize(
    mlx_vector_array* res,
@@ -797,6 +804,7 @@ int mlx_quantize(
    mlx_optional_int group_size,
    mlx_optional_int bits,
    const char* mode,
+    const mlx_array global_scale /* may be null */,
    const mlx_stream s);
 int mlx_quantized_matmul(
    mlx_array* res,
--- a/x/mlxrunner/mlx/mlx.go
+++ b/x/mlxrunner/mlx/mlx.go
@@ -7,8 +7,44 @@ package mlx
 // #cgo LDFLAGS: -lstdc++
 // #cgo darwin LDFLAGS: -framework Foundation -framework Metal -framework Accelerate
 // #include "generated.h"
+// #include <string.h>
+//
+// static char _mlx_last_error_msg[1024] = {0};
+// static int  _mlx_last_error_flag = 0;
+//
+// static void _mlx_capture_error_handler(const char* msg, void* data) {
+//     (void)data;
+//     strncpy(_mlx_last_error_msg, msg, sizeof(_mlx_last_error_msg) - 1);
+//     _mlx_last_error_msg[sizeof(_mlx_last_error_msg) - 1] = '\0';
+//     _mlx_last_error_flag = 1;
+// }
+//
+// static void mlx_install_capture_handler(void) {
+//     if (mlx_set_error_handler_) {
+//         mlx_set_error_handler_(_mlx_capture_error_handler, NULL, NULL);
+//     }
+// }
+//
+// static void mlx_clear_last_error(void) {
+//     _mlx_last_error_flag = 0;
+//     _mlx_last_error_msg[0] = '\0';
+// }
+//
+// static int mlx_had_last_error(void) {
+//     return _mlx_last_error_flag;
+// }
+//
+// static const char* mlx_get_last_error(void) {
+//     return _mlx_last_error_flag ? _mlx_last_error_msg : NULL;
+// }
 import "C"

+func init() {
+	// Replace the default exit(-1) error handler with one that captures
+	// the error message so we can surface it in Go.
+	C.mlx_install_capture_handler()
+}
+
 // Version returns the MLX core library version string.
 func Version() string {
 	str := C.mlx_string_new()
@@ -31,10 +67,19 @@ func doEval(outputs []*Array, async bool) {
 		}
 	}

+	C.mlx_clear_last_error()
+	var rc C.int
 	if async {
-		C.mlx_async_eval(vector)
+		rc = C.mlx_async_eval(vector)
 	} else {
-		C.mlx_eval(vector)
+		rc = C.mlx_eval(vector)
+	}
+	if rc != 0 {
+		msg := "mlx eval failed"
+		if C.mlx_had_last_error() != 0 {
+			msg = C.GoString(C.mlx_get_last_error())
+		}
+		panic("mlx: " + msg)
 	}
 }

--- a/x/mlxrunner/mlx/ops_extra.go
+++ b/x/mlxrunner/mlx/ops_extra.go
@@ -17,7 +17,8 @@ func Quantize(w *Array, groupSize, bits int, mode string) (weights, scales, bias
 	optBits := C.mlx_optional_int{value: C.int(bits), has_value: true}
 	res := C.mlx_vector_array_new()
 	defer C.mlx_vector_array_free(res)
-	C.mlx_quantize(&res, w.ctx, optGroupSize, optBits, cMode, DefaultStream().ctx)
+	var globalScale C.mlx_array
+	C.mlx_quantize(&res, w.ctx, optGroupSize, optBits, cMode, globalScale, DefaultStream().ctx)

 	vecSize := int(C.mlx_vector_array_size(res))
 	w0 := New("QUANTIZE_W")
@@ -45,7 +46,8 @@ func Dequantize(w, scales, biases *Array, groupSize, bits int, mode string) *Arr
 	}

 	out := New("DEQUANTIZE")
-	C.mlx_dequantize(&out.ctx, w.ctx, scales.ctx, b, optGroupSize, optBits, cMode, optDtype, DefaultStream().ctx)
+	var globalScale C.mlx_array
+	C.mlx_dequantize(&out.ctx, w.ctx, scales.ctx, b, optGroupSize, optBits, cMode, globalScale, optDtype, DefaultStream().ctx)
 	return out
 }
Author	SHA1	Message	Date
ParthSareen	00af64a0ae	docs: add more info	2026-03-24 13:00:18 -07:00
ParthSareen	21f0db0d37	docs: update claude code docs heading	2026-03-24 12:17:03 -07:00
Jesse Gross	95ee7fbd29	mlxrunner: panic on double unpin	2026-03-23 17:44:19 -07:00
Jesse Gross	ec55536734	mlxrunner: show time since last used in cache dump tree	2026-03-23 17:44:19 -07:00
Jesse Gross	77491439c2	mlxrunner: support partial match on pure transformer caches Previously, a partial match within a node's edge would truncate the path to the parent snapshot - effectively making all cache types behave as recurrent caches. Caches with only transformer layers can rewind to arbitrary boundary so this restores this capability to improve cache hits	2026-03-23 17:44:19 -07:00
Parth Sareen	b166b36cd2	docs: update Claude Code with Telegram guide (#15026 )	2026-03-23 16:31:21 -07:00
Daniel Hiltgen	c2b0bb7a52	mlx: update as of 3/23 (#14789 ) * mlx: update to HEAD on 3/23 Also fixes a few misc vendoring bugs uncovered with this first update. This also renames the version files to make them clearer. * CUDA Fast Gated Delta kernel * mlx: detect eval errors and panic On model errors or missing kernels, don't mask the error, bubble it up.	2026-03-23 11:28:44 -07:00
Bruce MacDonald	22c2bdbd8a	docs: nemoclaw integration (#14962 ) --------- Co-authored-by: ParthSareen <parth.sareen@ollama.com>	2026-03-20 15:27:37 -07:00
Bruce MacDonald	6df6d097d9	launch: skip openclaw gateway health check when no daemon install (#14984 )	2026-03-20 15:20:14 -07:00
Jesse Gross	d7c176ab91	llm, mlxrunner: fix done channel value consumed by first receiver Receiving from a buffered chan error consumes the value, so only the first caller (WaitUntilRunning, HasExited, or Close) sees the signal. Subsequent receivers block or take the wrong branch. Replace with a closed chan struct{} which can be received from any number of times, and store the error in a separate field.	2026-03-19 17:44:28 -07:00
Jesse Gross	0ff7d724ff	mlx: fix subprocess log deadlock The stderr reader used bufio.Scanner which has a 64KB max line size. If the subprocess wrote a line exceeding this limit, the scanner would stop reading, the OS pipe buffer would fill, and the subprocess would deadlock. Replace the scanner with a statusWriter that wraps io.Copy. The writer forwards all stderr to os.Stderr while capturing the last short line (≤256 bytes) for error reporting, avoiding both the deadlock and the need to buffer arbitrarily long lines.	2026-03-19 17:44:28 -07:00
Devon Rifkin	46cb7795e1	add ability to turn on debug request logging (#14106 ) If `OLLAMA_DEBUG_LOG_REQUESTS` is set, then on server startup a temp folder will be created. Upon any inference request, the body will be logged to a file in this folder, as well as a small shell script to "replay" the request using cURL. This is just intended for debugging scenarios, not as something to turn on normally.	2026-03-19 17:08:17 -07:00