Project comparison
Compare adoption, momentum, maintenance health, and project basics before choosing which tool to evaluate deeper.
Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, DeepSeek, Mixtral, Gemma, Phi, MiniCPM, Qwen-VL, MiniCPM-V, etc.) on Intel XPU (e.g., local PC with iGPU and NPU, discrete GPU such as Arc, Flex and Max); seamlessly integrate with llama.cpp, Ollama, HuggingFace, LangChain, LlamaIndex, vLLM, DeepSpeed, Axolotl, etc.
Get up and running with Kimi-K2.5, GLM-5, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.
Ollama has the larger GitHub footprint with 171.2K stars.
Ollama is currently growing faster at +450 stars this week.
Ollama has the stronger health score at 95/100.
| Signal | Ipex Llm | Ollama |
|---|---|---|
| GitHub stars | 8.8K | 171.2K |
| Weekly growth | 0 | +450 |
| Health score | 42 | 95 |
| Contributors | 124 | 600 |
| Commits per week | 0.0 | 24.5 |
| Open issues | 1.5K | 3.2K |
| Language | Python | Go |
| License | Apache-2.0 | MIT |
| Last commit | 3mo ago | 2d ago |
| Last release | v2.2.0 | v0.23.2 |
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