ipex-llm/python/llm/example/CPU/README.md

BigDL-LLM Examples on Intel CPU

This folder contains examples of running BigDL-LLM on Intel CPU:

• HF-Transformers-AutoModels: running any Hugging Face Transformers model on BigDL-LLM (using the standard AutoModel APIs)
• QLoRA-FineTuning: running QLoRA finetuning using BigDL-LLM on intel CPUs
• vLLM-Serving: running vLLM serving framework on intel CPUs (with BigDL-LLM low-bit optimized models)
• Deepspeed-AutoTP: running distributed inference using DeepSpeed AutoTP (with BigDL-LLM low-bit optimized models)
• LangChain: running LangChain applications on BigDL-LLM
• Applications: running LLM applications (such as agent, streaming-llm) on BigDl-LLM
• PyTorch-Models: running any PyTorch model on BigDL-LLM (with "one-line code change")
• Native-Models: converting & running LLM in llama/chatglm/bloom/gptneox/starcoder model family using native (cpp) implementation

System Support

Hardware:

• Intel® Core™ processors
• Intel® Xeon® processors

Operating System:

• Ubuntu 20.04 or later
• CentOS 7 or later
• Windows 10/11, with or without WSL