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.
A high-throughput and memory-efficient inference and serving engine for LLMs
vLLM has the larger GitHub footprint with 79.7K stars.
vLLM is currently growing faster at +606 stars this week.
vLLM has the stronger health score at 93/100.
| Signal | Ipex Llm | vLLM |
|---|---|---|
| GitHub stars | 8.8K | 79.7K |
| Weekly growth | 0 | +606 |
| Health score | 42 | 93 |
| Contributors | 124 | 2.6K |
| Commits per week | 0.0 | 208.8 |
| Open issues | 1.5K | 4.9K |
| Language | Python | Python |
| License | Apache-2.0 | Apache-2.0 |
| Last commit | 3mo ago | 9d ago |
| Last release | v2.2.0 | v0.20.2 |
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