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pipeline_tag: text-generation
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# Falcon-7b-chat-oasst1
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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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## Model Summary
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- **Model Type:** Causal decoder-only
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- **Language(s)
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- **Base Model:** [Falcon-7B](https://huggingface.co/tiiuae/falcon-7b) (License: [TII Falcon LLM License](https://huggingface.co/tiiuae/falcon-7b#license))
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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))
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- **License:** Inherited from the above "Base Model" and "Dataset"
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## Model Details
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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 3 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 Date
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pipeline_tag: text-generation
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# 🚀 Falcon-7b-chat-oasst1
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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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## Model Summary
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- **Model Type:** Causal decoder-only
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- **Language(s):** English
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- **Base Model:** [Falcon-7B](https://huggingface.co/tiiuae/falcon-7b) (License: [TII Falcon LLM License](https://huggingface.co/tiiuae/falcon-7b#license))
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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))
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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`. 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 3 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-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 Date
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