59861f73e5
* Add new example Deepseek * Add new example Deepseek * Add new example Deepseek * Add new example Deepseek * Add new example Deepseek * modify deepseek * modify deepseek * Add verified model in README * Turn cpu_embedding=True in Deepseek example --------- Co-authored-by: Shengsheng Huang <shengsheng.huang@intel.com> |
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| aquila2 | ||
| bark | ||
| bert | ||
| bluelm | ||
| chatglm | ||
| chatglm3 | ||
| codellama | ||
| codeshell | ||
| deciLM-7b | ||
| deepseek | ||
| deepseek-moe | ||
| distil-whisper | ||
| flan-t5 | ||
| fuyu | ||
| internlm-xcomposer | ||
| internlm2 | ||
| llama2 | ||
| llava | ||
| mamba | ||
| meta-llama | ||
| mistral | ||
| mixtral | ||
| openai-whisper | ||
| phi-1_5 | ||
| phi-2 | ||
| phixtral | ||
| qwen-vl | ||
| qwen1.5 | ||
| skywork | ||
| solar | ||
| wizardcoder-python | ||
| yi | ||
| yuan2 | ||
| ziya | ||
| README.md | ||
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.
Recommended Requirements
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