Update README.md

README.md

@@ -5,9 +5,9 @@ pipeline_tag: text-generation
 license: apache-2.0
 ---
 
-# 🚀 Falcon-40b-chat-oasst1
+# 🚀 Falcon-40b-openassistant-peft
 
-Falcon-40b-chat-oasst1 is a fully open-source chatbot 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. This repo only includes the LoRA adapters from fine-tuning with 🤗's [peft](https://github.com/huggingface/peft) package. 
+Falcon-40b-openassistant-peft is a fully open-source chatbot 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. This repo only includes the LoRA adapters from fine-tuning with 🤗's [peft](https://github.com/huggingface/peft) package. 
 
 ## Model Summary
 
@@ -17,7 +17,7 @@ Falcon-40b-chat-oasst1 is a fully open-source chatbot model for dialogue generat
 - **Dataset:** [OpenAssistant/oasst1](https://huggingface.co/datasets/OpenAssistant/oasst1) (License: [Apache 2.0](https://huggingface.co/datasets/OpenAssistant/oasst1/blob/main/LICENSE))
 - **License:** Apache 2.0 inherited from "Base Model" and "Dataset"
 
-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. 
+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-openassistant-peft/blob/main/finetune_falcon40b_oasst1_with_bnb_peft.ipynb) for the code and hyperparams used to train the model. 
 
 ### Model Date
 
@@ -40,7 +40,7 @@ To prompt the chat model, use the following format:
 <bot>:"""
 ```
 
-**Falcon-40b-chat-oasst1**:
+**Falcon-40b-openassistant-peft**:
 ```
 Dear Friends,
 
@@ -60,7 +60,7 @@ Daniel
 <bot>:
 ```
 
-**Falcon-40b-chat-oasst1**:
+**Falcon-40b-openassistant-peft**:
 ```
 Here is a list of things to do in San Francisco:
 
@@ -123,7 +123,7 @@ import torch
 from peft import PeftModel, PeftConfig
 from transformers import AutoModelForCausalLM, AutoTokenizer, BitsAndBytesConfig
 
-peft_model_id = "dfurman/falcon-40b-chat-oasst1"
+peft_model_id = "dfurman/falcon-40b-openassistant-peft"
 config = PeftConfig.from_pretrained(peft_model_id)
 
 bnb_config = BitsAndBytesConfig(
@@ -183,7 +183,7 @@ print(generated_text.split("<human>: ")[1].split("<bot>: ")[-1])
 
 ## Reproducibility
 
-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. 
+See attached [Colab Notebook](https://huggingface.co/dfurman/falcon-40b-openassistant-peft/blob/main/finetune_falcon40b_oasst1_with_bnb_peft.ipynb) for the code (and hyperparams) used to train the model. 
 
 ### CUDA Info