ipex-llm/python/llm/example/CPU/HF-Transformers-AutoModels/Model
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aquila
aquila2
baichuan
baichuan2
chatglm Uing bigdl-llm-init instead of bigdl-nano-init (#9558) 2023-11-30 10:10:29 +08:00
chatglm2
chatglm3 Uing bigdl-llm-init instead of bigdl-nano-init (#9558) 2023-11-30 10:10:29 +08:00
codellama Uing bigdl-llm-init instead of bigdl-nano-init (#9558) 2023-11-30 10:10:29 +08:00
codeshell
distil-whisper
dolly_v1
dolly_v2
falcon
flan-t5
fuyu
internlm
internlm-xcomposer
llama2 Uing bigdl-llm-init instead of bigdl-nano-init (#9558) 2023-11-30 10:10:29 +08:00
mistral
moss
mpt
phi-1_5
phoenix
qwen
qwen-vl
redpajama
replit Uing bigdl-llm-init instead of bigdl-nano-init (#9558) 2023-11-30 10:10:29 +08:00
skywork Uing bigdl-llm-init instead of bigdl-nano-init (#9558) 2023-11-30 10:10:29 +08:00
starcoder
vicuna
whisper
wizardcoder-python Uing bigdl-llm-init instead of bigdl-nano-init (#9558) 2023-11-30 10:10:29 +08:00
yi
README.md

BigDL-LLM Transformers INT4 Optimization for Large Language Model

You can use BigDL-LLM to run any Huggingface Transformer models with INT4 optimizations on either servers or laptops. This directory contains example scripts to help you quickly get started using BigDL-LLM to run some popular open-source models in the community. Each model has its own dedicated folder, where you can find detailed instructions on how to install and run it.

To run the examples, we recommend using Intel® Xeon® processors (server), or >= 12th Gen Intel® Core™ processor (client).

For OS, BigDL-LLM supports Ubuntu 20.04 or later, CentOS 7 or later, and Windows 10/11.

Best Known Configuration on Linux

For better performance, it is recommended to set environment variables on Linux with the help of BigDL-LLM:

pip install bigdl-llm
source bigdl-llm-init