ipex-llm/python/llm/example/CPU/PyTorch-Models/Model
2023-11-08 16:05:03 +08:00
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aquila2 LLM: add aquila2 model example (#9356) 2023-11-06 15:47:39 +08:00
bark LLM: update example layout (#9046) 2023-10-09 15:36:39 +08:00
bert LLM: update example layout (#9046) 2023-10-09 15:36:39 +08:00
chatglm LLM: update example layout (#9046) 2023-10-09 15:36:39 +08:00
chatglm3 LLM: add chatglm3 examples (#9305) 2023-11-01 09:50:05 +08:00
codellama LLM: add CodeLlama CPU and GPU examples (#9338) 2023-11-02 15:34:25 +08:00
codeshell add CodeShell CPU example (#9345) 2023-11-03 13:15:54 +08:00
flan-t5 add cpu and gpu examples of flan-t5 (#9171) 2023-10-24 15:24:01 +08:00
internlm-xcomposer Add internlm_xcomposer cpu examples (#9337) 2023-11-02 15:50:02 +08:00
llama2 LLM: update example layout (#9046) 2023-10-09 15:36:39 +08:00
llava add llava gpu example (#9324) 2023-11-02 14:48:29 +08:00
mistral LLM: highlight transformers version requirement in mistral examples (#9380) 2023-11-08 16:05:03 +08:00
openai-whisper LLM: update example layout (#9046) 2023-10-09 15:36:39 +08:00
phi-1_5 phi-1_5 CPU and GPU examples (#9173) 2023-10-24 15:08:04 +08:00
qwen-vl use coco image in Qwen-VL (#9298) 2023-10-30 14:32:35 +08:00
skywork Add cpu examples of skywork (#9340) 2023-11-02 15:10:45 +08:00
wizardcoder-python Add cpu examples of WizardCoder (#9344) 2023-11-02 20:22:43 +08:00
README.md LLM: add chatglm3 examples (#9305) 2023-11-01 09:50:05 +08:00

BigDL-LLM INT4 Optimization for Large Language Model

You can use optimize_model API to accelerate general PyTorch models on Intel servers and PCs. 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-Nano:

pip install bigdl-nano
source bigdl-nano-init