ipex-llm/python/llm/example/transformers/transformers_int4
Yuwen Hu ca6e38607c [LLM] Add more transformers examples (ChatGLM) (#8521)
* Add example for chatglm v1 and other small fixes

* Small fix

* Small further fix

* Small fix

* Update based on comments & updates for client windows recommended settingts

* Small fix

* Small refactor

* Small fix

* Small fix

* Small fix to dolly v1

* Small fix
2023-07-14 16:41:13 +08:00
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chatglm [LLM] Add more transformers examples (ChatGLM) (#8521) 2023-07-14 16:41:13 +08:00
dolly_v1 [LLM] Add more transformers examples (ChatGLM) (#8521) 2023-07-14 16:41:13 +08:00
mpt [LLM] Add more transformers examples (ChatGLM) (#8521) 2023-07-14 16:41:13 +08:00
README.md [LLM] Add more transformers examples (ChatGLM) (#8521) 2023-07-14 16:41:13 +08:00
transformers_int4_pipeline.py Initial LLM Transformers example refactor (#8491) 2023-07-10 17:53:57 +08:00
transformers_int4_pipeline_readme.md Initial LLM Transformers example refactor (#8491) 2023-07-10 17:53:57 +08:00

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-Nano:

pip install bigdl-nano
source bigdl-nano-init