ayo/ipex-llm
1
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity Actions 1

LLM: highlight transformers version requirement in mistral examples (#9380)

Browse source
This commit is contained in:
binbin Deng 2023-11-08 16:05:03 +08:00 committed by GitHub
parent 7e8fb29b7c
commit 97316bbb66
4 changed files with 8 additions and 0 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

2
python/llm/example/CPU/HF-Transformers-AutoModels/Model/mistral/README.md
View file

@ -4,6 +4,8 @@ In this directory, you will find examples on how you could apply BigDL-LLM INT4
## Requirements
To run these examples with BigDL-LLM, we have some recommended requirements for your machine, please refer to [here](../README.md#recommended-requirements) for more information.
**Important: According to [Mistral Troubleshooting](https://huggingface.co/mistralai/Mistral-7B-v0.1#troubleshooting), please make sure you have installed `transformers==4.34.0` to run the example.**
## Example: Predict Tokens using `generate()` API
In the example [generate.py](./generate.py), we show a basic use case for a Mistral model to predict the next N tokens using `generate()` API, with BigDL-LLM INT4 optimizations.
### 1. Install

2
python/llm/example/CPU/PyTorch-Models/Model/mistral/README.md
View file

@ -4,6 +4,8 @@ In this directory, you will find examples on how you could use BigDL-LLM `optimi
## Requirements
To run these examples with BigDL-LLM, we have some recommended requirements for your machine, please refer to [here](../README.md#recommended-requirements) for more information.
**Important: According to [Mistral Troubleshooting](https://huggingface.co/mistralai/Mistral-7B-v0.1#troubleshooting), please make sure you have installed `transformers==4.34.0` to run the example.**
## Example: Predict Tokens using `generate()` API
In the example [generate.py](./generate.py), we show a basic use case for a Mistral model to predict the next N tokens using `generate()` API, with BigDL-LLM INT4 optimizations.
### 1. Install

2
python/llm/example/GPU/HF-Transformers-AutoModels/Model/mistral/README.md
View file

@ -4,6 +4,8 @@ In this directory, you will find examples on how you could apply BigDL-LLM INT4
## Requirements
To run these examples with BigDL-LLM on Intel GPUs, we have some recommended requirements for your machine, please refer to [here](../README.md#recommended-requirements) for more information.
**Important: According to [Mistral Troubleshooting](https://huggingface.co/mistralai/Mistral-7B-v0.1#troubleshooting), please make sure you have installed `transformers==4.34.0` to run the example.**
## Example: Predict Tokens using `generate()` API
In the example [generate.py](./generate.py), we show a basic use case for a Mistral model to predict the next N tokens using `generate()` API, with BigDL-LLM INT4 optimizations on Intel GPUs.
### 1. Install

2
python/llm/example/GPU/PyTorch-Models/Model/mistral/README.md
View file

@ -4,6 +4,8 @@ In this directory, you will find examples on how you could use BigDL-LLM `optimi
## Requirements
To run these examples with BigDL-LLM on Intel GPUs, we have some recommended requirements for your machine, please refer to [here](../README.md#recommended-requirements) for more information.
**Important: According to [Mistral Troubleshooting](https://huggingface.co/mistralai/Mistral-7B-v0.1#troubleshooting), please make sure you have installed `transformers==4.34.0` to run the example.**
## Example: Predict Tokens using `generate()` API
In the example [generate.py](./generate.py), we show a basic use case for a Mistral model to predict the next N tokens using `generate()` API, with BigDL-LLM INT4 optimizations on Intel GPUs.
### 1. Install