jmorganca 63bde9ff73 llama/compat: add mistral3 vision (clip) support
Translates Ollama's monolithic mistral3 GGUF into the upstream pixtral
mmproj shape so `--mmproj <same-blob>` loads alongside the text model.

KV synthesis: rewrite arch to `clip`, copy `mistral3.vision.*` →
`clip.vision.*`, set `projector_type=pixtral`, `use_silu=true`,
inject pixtral image_mean/std defaults, copy
`mistral3.spatial_merge_size` → `clip.vision.spatial_merge_size`.

Tensor renames: `v.patch_conv`→`v.patch_embd`, `v.encoder_norm`→
`v.pre_ln`, `attn_output`→`attn_out`, `attn_norm`/`ffn_norm`→
`ln1`/`ln2`, `mm.linear_{1,2}`→`mm.{1,2}`, `mm.norm`→`mm.input_norm`,
`mm.patch_merger.merging_layer`→`mm.patch_merger`.

img_break: pixtral's loader strictly requires `v.token_embd.img_break`
(the embedding row for the [IMG_BREAK] separator token). Ollama
doesn't ship it as a separate tensor; the "right" value is row 12 of
token_embd.weight, but token_embd is Q4_K and per-row dequant is
heavyweight. Reclaim the orphan `output_norm.weight` slot (already
[n_embd] F32) and zero-fill via load op — pixtral.cpp adds img_break
to row separators, so a zero embedding makes [IMG_BREAK] insertion a
no-op without breaking the rest of the vision graph.

Adds `mistral3` to the Go-side `compatClipArches` allowlist so
ollama auto-passes `--mmproj <same-blob>` for vision requests.

Tested with ministral-3 (8B, just released): text + vision both work;
solid colored test images correctly identified (red/green/blue).
2026-04-20 09:29:34 -07:00
2026-04-17 14:20:59 -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 Code, OpenClaw, OpenCode , Codex, Copilot, and more.

Coding

To launch a specific integration:

ollama launch claude

Supported integrations include Claude Code, Codex, Copilot CLI, 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
No description provided
Readme MIT 583 MiB
Languages
Go 82.5%
C 9.2%
TypeScript 4%
C++ 1.4%
CMake 0.9%
Other 1.9%