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.
LLM inference in C/C++
llama.cpp has the larger GitHub footprint with 109.6K stars.
llama.cpp is currently growing faster at +1.2K stars this week.
llama.cpp has the stronger health score at 100/100.
| Signal | Ipex Llm | llama.cpp |
|---|---|---|
| GitHub stars | 8.8K | 109.6K |
| Weekly growth | 0 | +1.2K |
| Health score | 42 | 100 |
| Contributors | 124 | 1.7K |
| Commits per week | 0.0 | 86.2 |
| Open issues | 1.5K | 1.6K |
| Language | Python | C++ |
| License | Apache-2.0 | MIT |
| Last commit | 3mo ago | 15h ago |
| Last release | v2.2.0 | b9113 |
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