Text Generation
PEFT
Safetensors
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@@ -9,7 +9,7 @@ pipeline_tag: text-generation
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  Falcon-7b-chat-oasst1 is a chatbot-like model for dialogue generation. It was built by fine-tuning [Falcon-7B](https://huggingface.co/tiiuae/falcon-7b) on the [OpenAssistant/oasst1](https://huggingface.co/datasets/OpenAssistant/oasst1) dataset.
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  - The model was fine-tuned in 4-bit precision using `peft`, `transformers`, and `bitsandbytes`.
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  - 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.
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- - 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
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  - See attached [Colab Notebook](https://huggingface.co/dfurman/falcon-7b-chat-oasst1/blob/main/finetune_falcon7b_oasst1_with_bnb_peft.ipynb) for the code and hyperparams used to train the model.
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  ## Model Summary
 
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  Falcon-7b-chat-oasst1 is a chatbot-like model for dialogue generation. It was built by fine-tuning [Falcon-7B](https://huggingface.co/tiiuae/falcon-7b) on the [OpenAssistant/oasst1](https://huggingface.co/datasets/OpenAssistant/oasst1) dataset.
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  - The model was fine-tuned in 4-bit precision using `peft`, `transformers`, and `bitsandbytes`.
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  - 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.
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+ - Fine-tuning took approximately 6 hours and was executed on a workstation with a single A100-SXM NVIDIA GPU, with 37 GB of available memory
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  - See attached [Colab Notebook](https://huggingface.co/dfurman/falcon-7b-chat-oasst1/blob/main/finetune_falcon7b_oasst1_with_bnb_peft.ipynb) for the code and hyperparams used to train the model.
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  ## Model Summary