|
--- |
|
library_name: peft |
|
datasets: |
|
- tatsu-lab/alpaca |
|
- silk-road/alpaca-data-gpt4-chinese |
|
pipeline_tag: conversational |
|
base_model: internlm/internlm-chat-20b |
|
--- |
|
|
|
<div align="center"> |
|
<img src="https://github.com/InternLM/lmdeploy/assets/36994684/0cf8d00f-e86b-40ba-9b54-dc8f1bc6c8d8" width="600"/> |
|
|
|
|
|
[](https://github.com/InternLM/xtuner) |
|
|
|
|
|
</div> |
|
|
|
## Model |
|
|
|
internlm-chat-20b-qlora-alpaca-enzh is fine-tuned from [InternLM-Chat-20B](https://huggingface.co/internlm/internlm-chat-20b) with [alpaca en](https://huggingface.co/datasets/tatsu-lab/alpaca) / [zh](https://huggingface.co/datasets/silk-road/alpaca-data-gpt4-chinese) datasets by [XTuner](https://github.com/InternLM/xtuner). |
|
|
|
|
|
## Quickstart |
|
|
|
### Usage with XTuner CLI |
|
|
|
#### Installation |
|
|
|
```shell |
|
pip install xtuner |
|
``` |
|
|
|
#### Chat |
|
|
|
```shell |
|
xtuner chat internlm/internlm-chat-20b --adapter xtuner/internlm-chat-20b-qlora-alpaca-enzh --prompt-template internlm_chat --system-template alpaca |
|
``` |
|
|
|
#### Fine-tune |
|
|
|
Use the following command to quickly reproduce the fine-tuning results. |
|
|
|
```shell |
|
xtuner train internlm_chat_20b_qlora_alpaca_enzh_e3 |
|
``` |
|
|
