Text Generation
PEFT
Safetensors
Eval Results
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  # Falcon-40b-chat-oasst1
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  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.
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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-40b-chat-oasst1/blob/main/finetune_falcon40b_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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  - **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)
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  - **License:** Inherited from the above "Base Model" and "Dataset"
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  ### Model Date
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  May 30, 2023
 
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  # Falcon-40b-chat-oasst1
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  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.
 
 
 
 
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  ## Model Summary
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  - **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)
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  - **License:** Inherited from the above "Base Model" and "Dataset"
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+ ## Model Details
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+ - The model was fine-tuned in 4-bit precision using 🤗 `peft` adapters, `transformers`, and `bitsandbytes`.
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+ - 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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+ - 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
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+ - 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.
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  ### Model Date
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  May 30, 2023