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v0.13.3-rc
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parth/add-
| Author | SHA1 | Date | |
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5d3eeb43c0 | ||
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1c4e85b4df | ||
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dac4f17fea | ||
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56b8fb024c |
@@ -15,7 +15,7 @@ A Go-based command-line tool for benchmarking Ollama models with configurable pa
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```
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go build -o ollama-bench bench.go
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./bench -model gpt-oss:20b -epochs 6 -format csv
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./ollama-bench -model gpt-oss:20b -epochs 6 -format csv
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```
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Using Go Run (without building)
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@@ -29,31 +29,32 @@ go run bench.go -model gpt-oss:20b -epochs 3
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### Basic Example
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```
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./bench -model gemma3 -epochs 6
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./ollama-bench -model gemma3 -epochs 6
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```
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### Benchmark Multiple Models
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```
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./bench -model gemma3,gemma3n -epochs 6 -max-tokens 100 -p "Write me a short story" | tee gemma.bench
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./ollama-bench -model gemma3,gemma3n -epochs 6 -max-tokens 100 -p "Write me a short story" | tee gemma.bench
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benchstat -col /name gemma.bench
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```
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### With Image Prompt
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```
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./bench -model qwen3-vl -image photo.jpg -epochs 6 -max-tokens 100 -p "Describe this image"
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./ollama-bench -model qwen3-vl -image photo.jpg -epochs 6 -max-tokens 100 -p "Describe this image"
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```
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### Advanced Example
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```
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./bench -model llama3 -epochs 10 -temperature 0.7 -max-tokens 500 -seed 42 -format csv -output results.csv
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./ollama-bench -model llama3 -epochs 10 -temperature 0.7 -max-tokens 500 -seed 42 -format csv -output results.csv
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```
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## Command Line Options
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| Option | Description | Default |
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|----------|-------------|---------|
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| -model | Comma-separated list of models to benchmark | (required) |
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| -epochs | Number of iterations per model | 1 |
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| -max-tokens | Maximum tokens for model response | 0 (unlimited) |
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@@ -37,6 +37,10 @@ func parseSafetensors(fsys fs.FS, replacer *strings.Replacer, ps ...string) ([]T
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return nil, err
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}
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if n <= 0 || n > 100<<20 {
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return nil, fmt.Errorf("invalid safetensors file %q (header size: %d): file may be corrupted or a Git LFS pointer", p, n)
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}
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b := bytes.NewBuffer(make([]byte, 0, n))
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if _, err = io.CopyN(b, f, n); err != nil {
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return nil, err
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@@ -2195,7 +2195,7 @@ func (s *Server) ChatHandler(c *gin.Context) {
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return
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}
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if res.Message.Content != "" || res.Message.Thinking != "" || len(res.Message.ToolCalls) > 0 || r.Done {
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if res.Message.Content != "" || res.Message.Thinking != "" || len(res.Message.ToolCalls) > 0 || r.Done || len(res.Logprobs) > 0 {
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slog.Log(context.TODO(), logutil.LevelTrace, "builtin parser output", "parser", m.Config.Parser, "content", content, "thinking", thinking, "toolCalls", toolCalls, "done", r.Done)
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ch <- res
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} else {
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@@ -2235,8 +2235,16 @@ func (s *Server) ChatHandler(c *gin.Context) {
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res.Message.ToolCalls = toolCalls
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res.Message.Content = ""
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} else if res.Message.Thinking != "" {
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// don't return
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// don't return, fall through to send
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} else {
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// Send logprobs while content is being buffered by the parser for tool calls
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if len(res.Logprobs) > 0 && !r.Done {
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logprobRes := res
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logprobRes.Message.Content = ""
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logprobRes.Message.ToolCalls = nil
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ch <- logprobRes
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}
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if r.Done {
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res.Message.Content = toolParser.Content()
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ch <- res
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@@ -708,6 +708,95 @@ func TestGenerateChat(t *testing.T) {
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}
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})
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t.Run("messages with tools and logprobs (streaming)", func(t *testing.T) {
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tools := []api.Tool{
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{
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Type: "function",
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Function: api.ToolFunction{
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Name: "get_weather",
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Parameters: api.ToolFunctionParameters{
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Type: "object",
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Properties: map[string]api.ToolProperty{
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"location": {Type: api.PropertyType{"string"}},
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},
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},
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},
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},
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}
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var wg sync.WaitGroup
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wg.Add(1)
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mock.CompletionFn = func(ctx context.Context, r llm.CompletionRequest, fn func(r llm.CompletionResponse)) error {
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defer wg.Done()
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// Simulate a response where logprobs are sent while the tool call is being buffered
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responses := []llm.CompletionResponse{
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{
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Content: `{ "name": "get_weather"`,
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Done: false,
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Logprobs: []llm.Logprob{{}},
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},
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{
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Content: `,"arguments":{"location":"Seattle, WA","unit":"celsius"}}`,
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Done: false,
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Logprobs: []llm.Logprob{{}},
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},
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{
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Content: ``,
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Done: true,
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DoneReason: llm.DoneReasonStop,
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Logprobs: nil,
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},
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}
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for _, resp := range responses {
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select {
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case <-ctx.Done():
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return ctx.Err()
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default:
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fn(resp)
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time.Sleep(10 * time.Millisecond)
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}
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}
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return nil
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}
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w := createRequest(t, s.ChatHandler, api.ChatRequest{
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Model: "test-system",
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Messages: []api.Message{
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{Role: "user", Content: "Weather?"},
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},
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Tools: tools,
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Stream: &stream,
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})
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wg.Wait()
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if w.Code != http.StatusOK {
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t.Errorf("expected status 200, got %d", w.Code)
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}
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decoder := json.NewDecoder(w.Body)
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var totalLogprobs int
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for {
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var resp api.ChatResponse
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if err := decoder.Decode(&resp); err == io.EOF {
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break
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} else if err != nil {
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t.Fatal(err)
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}
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totalLogprobs += len(resp.Logprobs)
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}
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expectedLogprobs := 2
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if totalLogprobs != expectedLogprobs {
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t.Errorf("expected %d logprobs, got %d", expectedLogprobs, totalLogprobs)
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}
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})
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t.Run("status error non-streaming", func(t *testing.T) {
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mock.CompletionFn = func(ctx context.Context, r llm.CompletionRequest, fn func(r llm.CompletionResponse)) error {
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return api.StatusError{
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