MGM vs ollama
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| MGM | ollama | |
|---|---|---|
| Tagline | Official repo for 'Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models' | Get up and running with Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models. |
| Stars | 3.3k | 176k |
| Forks | 275 | 17k |
| Open issues | 61 | 3.4k |
| Language | Python | Go |
| License | Apache-2.0 | MIT |
| Last pushed | May 4, 2024 | Jul 7, 2026 |
| Categories | LLM Frameworks, Model Training | AI Agents, LLM Frameworks |
MGM
A Python-based framework supporting dense and MoE Large Language Models (LLMs) from 2B to 34B, focusing on image understanding, reasoning, and generation. Built based on LLaVA.
Python
ollama
Ollama is a platform for deploying and interacting with various large language models (LLMs) such as Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, and Gemma on macOS, Windows, Linux, and Docker environments.
Go