ipex-llm/python/llm/example/transformers/transformers_int4
Yuwen Hu 1344f50f75 [LLM] Add more transformers int4 examples (Falcon) (#8546)
* Initial commit

* Add Falcon examples and other small fix

* Small fix

* Small fix

* Update based on comments

* Small fix
2023-07-17 17:36:21 +08:00
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baichuan [LLM] Add more transformers int4 examples (Falcon) (#8546) 2023-07-17 17:36:21 +08:00
chatglm Remove unused example for now (#8538) 2023-07-14 17:32:50 +08:00
chatglm2 [LLM] Add more transformers int4 example (chatglm2) (#8539) 2023-07-14 17:58:33 +08:00
dolly_v1 Remove unused example for now (#8538) 2023-07-14 17:32:50 +08:00
falcon [LLM] Add more transformers int4 examples (Falcon) (#8546) 2023-07-17 17:36:21 +08:00
moss Remove unused example for now (#8538) 2023-07-14 17:32:50 +08:00
mpt Update mpt for prompt tuning (#8547) 2023-07-17 17:33:54 +08:00
phoenix [LLM] Add more transformers int4 example (phoenix) (#8520) 2023-07-14 17:58:04 +08:00
redpajama [LLM] Add more transformers int4 example (RedPajama) (#8523) 2023-07-14 17:30:28 +08:00
starcoder [LLM] Add more transformers int4 example (starcoder) (#8540) 2023-07-17 14:41:19 +08:00
vicuna [LLM] Add more transformers int4 example (vicuna) (#8544) 2023-07-17 16:59:55 +08:00
README.md [LLM] Add more transformers examples (ChatGLM) (#8521) 2023-07-14 16:41:13 +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