update readme.md

README.md

@@ -1,6 +1,14 @@
 ---
 library_name: peft
+license: mit
+datasets:
+- yahma/alpaca-cleaned
+pipeline_tag: text-generation
 ---
+
+## Quantized LLaMA2 Alpaca
+**quantized-llama2-alpaca** is a fine-tuned version of the [LLaMA2](https://ai.meta.com/research/publications/llama-2-open-foundation-and-fine-tuned-chat-models/) ([Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b)) model on the [Alpaca](https://github.com/tatsu-lab/stanford_alpaca) dataset using [QLoRA](https://arxiv.org/abs/2305.14314).
+
 ## Training procedure
 
 
@@ -14,7 +22,8 @@ The following `bitsandbytes` quantization config was used during training:
 - bnb_4bit_quant_type: nf4
 - bnb_4bit_use_double_quant: True
 - bnb_4bit_compute_dtype: bfloat16
+  
 ### Framework versions
 
 
-- PEFT 0.4.0
+- PEFT 0.4.0