
## Instruction-tuned LLaMA (Alpaca-GPT4)

Fine-tune [LLaMA-7B](https://huggingface.co/decapoda-research/llama-7b-hf) on the alpaca dataset.

The main training scripts are from [stanford-alpaca repo](https://github.com/tatsu-lab/stanford_alpaca), while the data is from [GPT-4-LLM repo](https://github.com/Instruction-Tuning-with-GPT-4/GPT-4-LLM#data-release), with the default training hyper-parameters.

Please refer to [this page](https://instruction-tuning-with-gpt-4.github.io/) for more details.
{"language": ["en"], "license": "mit"}
transformers pytorch llama text-generation en license:mit autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #llama #text-generation #en #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 


## Instruction-tuned LLaMA (Alpaca-GPT4)

Fine-tune LLaMA-7B on the alpaca dataset.

The main training scripts are from stanford-alpaca repo, while the data is from GPT-4-LLM repo, with the default training hyper-parameters.

Please refer to this page for more details.
## Instruction-tuned LLaMA (Alpaca-GPT4)

Fine-tune LLaMA-7B on the alpaca dataset.

The main training scripts are from stanford-alpaca repo, while the data is from GPT-4-LLM repo, with the default training hyper-parameters.

Please refer to this page for more details.
TAGS
#transformers #pytorch #llama #text-generation #en #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 ## Instruction-tuned LLaMA (Alpaca-GPT4)

Fine-tune LLaMA-7B on the alpaca dataset.

The main training scripts are from stanford-alpaca repo, while the data is from GPT-4-LLM repo, with the default training hyper-parameters.

Please refer to this page for more details.
TAGS
#transformers #pytorch #llama #text-generation #en #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
## Instruction-tuned LLaMA (Alpaca-GPT4)

Fine-tune LLaMA-7B on the alpaca dataset.

The main training scripts are from stanford-alpaca repo, while the data is from GPT-4-LLM repo, with the default training hyper-parameters.

Please refer to this page for more details.