Update README.md

README.md

@@ -7,10 +7,6 @@ pipeline_tag: text-generation
 # Falcon-40b-chat-oasst1
 
 Falcon-40b-chat-oasst1 is a chatbot-like model for dialogue generation. It was built by fine-tuning [Falcon-40B](https://huggingface.co/tiiuae/falcon-40b) on the [OpenAssistant/oasst1](https://huggingface.co/datasets/OpenAssistant/oasst1) dataset. 
-- The model was fine-tuned in 4-bit precision using `peft`, `transformers`, and `bitsandbytes`.
-- The training relied on a method called "Low Rank Adapters" ([LoRA](https://arxiv.org/pdf/2106.09685.pdf)), specifically the [QLoRA](https://arxiv.org/abs/2305.14314) variant.
-- Fine-tuning took approximately 10 hours and was executed on a workstation with a single A100-SXM NVIDIA GPU, with 37 GB of available memory
-- See attached [Colab Notebook](https://huggingface.co/dfurman/falcon-40b-chat-oasst1/blob/main/finetune_falcon40b_oasst1_with_bnb_peft.ipynb) for the code and hyperparams used to train the model. 
 
 ## Model Summary
 
@@ -20,6 +16,14 @@ Falcon-40b-chat-oasst1 is a chatbot-like model for dialogue generation. It was b
 - **Dataset:** [OpenAssistant/oasst1](https://huggingface.co/datasets/OpenAssistant/oasst1) (License: [Apache 2.0](https://huggingface.co/datasets/OpenAssistant/oasst1/blob/main/LICENSE), commercial use ok-ed)
 - **License:** Inherited from the above "Base Model" and "Dataset"
 
+## Model Details
+
+- The model was fine-tuned in 4-bit precision using 🤗 `peft` adapters, `transformers`, and `bitsandbytes`.
+- Training relied on a method called "Low Rank Adapters" ([LoRA](https://arxiv.org/pdf/2106.09685.pdf)), specifically the [QLoRA](https://arxiv.org/abs/2305.14314) variant.
+- The run took approximately 10 hours and was executed on a workstation with a single A100-SXM NVIDIA GPU with 37 GB of available memory
+- See attached [Colab Notebook](https://huggingface.co/dfurman/falcon-40b-chat-oasst1/blob/main/finetune_falcon40b_oasst1_with_bnb_peft.ipynb) for the code and hyperparams used to train the model. 
+
+
 ### Model Date
 
 May 30, 2023