petals vs ollama
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| petals | ollama | |
|---|---|---|
| Tagline | Run LLMs at home, BitTorrent-style | Get up and running with Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models. |
| Stars | 10k | 176k |
| Forks | 621 | 17k |
| Open issues | 112 | 3.4k |
| Language | Python | Go |
| License | MIT | MIT |
| Last pushed | Sep 7, 2024 | Jul 7, 2026 |
| Categories | LLM Frameworks, Inference & Serving | AI Agents, LLM Frameworks |
petals
Petals enables running and fine-tuning large language models locally with distributed computing techniques, offering up to 10x faster performance compared to offloading tasks.
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