
This repository comes with LoRA checkpoint to make LLaMA into a chatbot like language model. The checkpoint is the output of instruction following fine-tuning process with the following settings on 8xA100(40G) DGX system.
- Dataset: [cleaned-up Alpaca dataset](https://github.com/gururise/AlpacaDataCleaned) up to 04/06/23
- Training script: borrowed from the official [Alpaca-LoRA](https://github.com/tloen/alpaca-lora) implementation
- Training script:
```shell
python finetune.py \
    --base_model='decapoda-research/llama-13b-hf' \
    --num_epochs=10 \
    --cutoff_len=512 \
    --group_by_length \
    --output_dir='./lora-alpaca' \
    --lora_target_modules='[q_proj,k_proj,v_proj,o_proj]' \
    --lora_r=16 \
    --batch_size=... \
    --micro_batch_size=...
```
{"language": ["en"], "license": "gpl-3.0", "tags": ["alpaca", "llama", "chat"], "datasets": ["yahma/alpaca-cleaned"], "pipeline_tag": "text2text-generation"}
alpaca llama chat text2text-generation en dataset:yahma/alpaca-cleaned license:gpl-3.0 has_space region:us
TAGS
#alpaca #llama #chat #text2text-generation #en #dataset-yahma/alpaca-cleaned #license-gpl-3.0 #has_space #region-us 


This repository comes with LoRA checkpoint to make LLaMA into a chatbot like language model. The checkpoint is the output of instruction following fine-tuning process with the following settings on 8xA100(40G) DGX system.
- Dataset: cleaned-up Alpaca dataset up to 04/06/23
- Training script: borrowed from the official Alpaca-LoRA implementation
- Training script:

TAGS
#alpaca #llama #chat #text2text-generation #en #dataset-yahma/alpaca-cleaned #license-gpl-3.0 #has_space #region-us 

TAGS
#alpaca #llama #chat #text2text-generation #en #dataset-yahma/alpaca-cleaned #license-gpl-3.0 #has_space #region-us 
