Daniel Hiltgen b5918f9785 pull/push: refine safetensors (#14946)
* pull: refine safetensors pull

 - Body drain in resolve() — drain response body before close so Go's HTTP
   client can reuse TCP connections instead of opening a new one per blob
   (1,075 extra TCP+TLS handshakes eliminated)
 - Skip speed recording for tiny blobs (<100KB) — prevents
   HTTP-overhead-dominated transfer times from poisoning the median, which the
   stall detector uses to cancel "too slow" downloads
 - Resume support for large blobs (>=64MB) — on failure, preserves partial .tmp
   files; on retry, re-hashes existing datak and sends Range header to download
   only remaining bytes; gracefully falls back to full download if server returns
   200 instead of 206; SHA256 verification catches corrupt partials

* harden push

- Prevents killing TCP connections after every request.
- Stronger backoff to handle server back-pressure and rate limiting
- Larger buffered reads for improve safetensor upload performance
- Better error message handling from server
- Handle 201 if server says blob exists
- Fix progress reporting on already uploaded blobs
- Trace logging to help troubleshoot and tune going forward

* review comments

* review comments
2026-04-08 14:15:39 -07:00
2026-04-02 11:33:33 -07:00
2026-04-02 11:33:33 -07:00
2025-11-19 17:21:07 -08:00
2026-04-07 09:18:01 -07:00
2026-04-07 09:18:01 -07:00
2026-04-02 11:33:33 -07:00
2026-04-02 11:33:33 -07:00
2026-04-02 11:33:33 -07:00
2023-08-22 09:40:58 -07:00
2026-04-08 14:15:39 -07:00
2025-01-29 15:03:38 -08:00
2026-03-23 11:28:44 -07:00
2023-06-26 15:57:13 -04:00
2024-08-01 17:06:06 -07:00
2026-03-23 11:28:44 -07:00
2026-03-23 11:28:44 -07:00

ollama

Ollama

Start building with open models.

Download

macOS

curl -fsSL https://ollama.com/install.sh | sh

or download manually

Windows

irm https://ollama.com/install.ps1 | iex

or download manually

Linux

curl -fsSL https://ollama.com/install.sh | sh

Manual install instructions

Docker

The official Ollama Docker image ollama/ollama is available on Docker Hub.

Libraries

Community

Get started

ollama

You'll be prompted to run a model or connect Ollama to your existing agents or applications such as claude, codex, openclaw and more.

Coding

To launch a specific integration:

ollama launch claude

Supported integrations include Claude Code, Codex, Droid, and OpenCode.

AI assistant

Use OpenClaw to turn Ollama into a personal AI assistant across WhatsApp, Telegram, Slack, Discord, and more:

ollama launch openclaw

Chat with a model

Run and chat with Gemma 3:

ollama run gemma3

See ollama.com/library for the full list.

See the quickstart guide for more details.

REST API

Ollama has a REST API for running and managing models.

curl http://localhost:11434/api/chat -d '{
  "model": "gemma3",
  "messages": [{
    "role": "user",
    "content": "Why is the sky blue?"
  }],
  "stream": false
}'

See the API documentation for all endpoints.

Python

pip install ollama
from ollama import chat

response = chat(model='gemma3', messages=[
  {
    'role': 'user',
    'content': 'Why is the sky blue?',
  },
])
print(response.message.content)

JavaScript

npm i ollama
import ollama from "ollama";

const response = await ollama.chat({
  model: "gemma3",
  messages: [{ role: "user", content: "Why is the sky blue?" }],
});
console.log(response.message.content);

Supported backends

  • llama.cpp project founded by Georgi Gerganov.

Documentation

Community Integrations

Want to add your project? Open a pull request.

Chat Interfaces

Web

Desktop

  • Dify.AI - LLM app development platform
  • AnythingLLM - All-in-one AI app for Mac, Windows, and Linux
  • Maid - Cross-platform mobile and desktop client
  • Witsy - AI desktop app for Mac, Windows, and Linux
  • Cherry Studio - Multi-provider desktop client
  • Ollama App - Multi-platform client for desktop and mobile
  • PyGPT - AI desktop assistant for Linux, Windows, and Mac
  • Alpaca - GTK4 client for Linux and macOS
  • SwiftChat - Cross-platform including iOS, Android, and Apple Vision Pro
  • Enchanted - Native macOS and iOS client
  • RWKV-Runner - Multi-model desktop runner
  • Ollama Grid Search - Evaluate and compare models
  • macai - macOS client for Ollama and ChatGPT
  • AI Studio - Multi-provider desktop IDE
  • Reins - Parameter tuning and reasoning model support
  • ConfiChat - Privacy-focused with optional encryption
  • LLocal.in - Electron desktop client
  • MindMac - AI chat client for Mac
  • Msty - Multi-model desktop client
  • BoltAI for Mac - AI chat client for Mac
  • IntelliBar - AI-powered assistant for macOS
  • Kerlig AI - AI writing assistant for macOS
  • Hillnote - Markdown-first AI workspace
  • Perfect Memory AI - Productivity AI personalized by screen and meeting history

Mobile

SwiftChat, Enchanted, Maid, Ollama App, Reins, and ConfiChat listed above also support mobile platforms.

Code Editors & Development

Libraries & SDKs

Frameworks & Agents

RAG & Knowledge Bases

  • RAGFlow - RAG engine based on deep document understanding
  • R2R - Open-source RAG engine
  • MaxKB - Ready-to-use RAG chatbot
  • Minima - On-premises or fully local RAG
  • Chipper - AI interface with Haystack RAG
  • ARGO - RAG and deep research on Mac/Windows/Linux
  • Archyve - RAG-enabling document library
  • Casibase - AI knowledge base with RAG and SSO
  • BrainSoup - Native client with RAG and multi-agent automation

Bots & Messaging

Terminal & CLI

Productivity & Apps

Observability & Monitoring

  • Opik - Debug, evaluate, and monitor LLM applications
  • OpenLIT - OpenTelemetry-native monitoring for Ollama and GPUs
  • Lunary - LLM observability with analytics and PII masking
  • Langfuse - Open source LLM observability
  • HoneyHive - AI observability and evaluation for agents
  • MLflow Tracing - Open source LLM observability

Database & Embeddings

Infrastructure & Deployment

Cloud

Package Managers

Description
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Readme MIT 336 MiB
Languages
Go 82.3%
C 9.5%
TypeScript 4.4%
C++ 1.5%
Objective-C 0.6%
Other 1.6%