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  ---
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  license: apache-2.0
 
 
 
 
 
 
 
 
 
 
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  ---
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- Preliminary info during eval. Model card will be updated.
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- - base model: [tiiuae/falcon-40b](https://huggingface.co/tiiuae/falcon-40b)
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- - [sampling report](https://open-assistant.github.io/oasst-model-eval/?f=https%3A%2F%2Fraw.githubusercontent.com%2FOpen-Assistant%2Foasst-model-eval%2Fmain%2Fsampling_reports%2Fchat-gpt%2F2023-04-11_gpt-3.5-turbo_lottery.json%0Ahttps%3A%2F%2Fraw.githubusercontent.com%2FOpen-Assistant%2Foasst-model-eval%2Fmain%2Fsampling_reports%2Foasst-sft%2F2023-06-03_OpenAssistant_falcon-40b-sft-top1-560_sampling_noprefix2.json)
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- - wandb: https://wandb.ai/open-assistant/public-sft/runs/3lr77x4h
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- - checkpoint: 560 steps
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  Model:
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  ```
 
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  license: apache-2.0
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+ language:
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+ - en
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+ - de
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+ - es
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+ - fr
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+ tags:
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+ - sft
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+ inference: false
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+ datasets:
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+ - OpenAssistant/oasst1
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  ---
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+ # Open-Assistant Falcon 40B SFT OASST-TOP1 Model
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+ This model is a fine-tuning of TII's [Falcon 40B](https://huggingface.co/tiiuae/falcon-40b) LLM.
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+ It was trained with top-1 (high-quality) demonstrations of the OASST data set (exported on May 6, 2023) with an effective batch size of 144 for ~7.5 epochs with LIMA style dropout (p=0.3) and a context-length of 2048 tokens.
 
 
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+ ## Model Details
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+
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+ - **Finetuned from:** [tiiuae/falcon-40b]((https://huggingface.co/tiiuae/falcon-40b)
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+ - **Model type:** Causal decoder-only transformer language model
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+ - **Language:** English, German, Spanish, French (and limited capabilities in Italian, Portuguese, Polish, Dutch, Romanian, Czech, Swedish);
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+ - **Demo:** [Continuations for 250 random prompts](https://open-assistant.github.io/oasst-model-eval/?f=https%3A%2F%2Fraw.githubusercontent.com%2FOpen-Assistant%2Foasst-model-eval%2Fmain%2Fsampling_reports%2Fchat-gpt%2F2023-04-11_gpt-3.5-turbo_lottery.json%0Ahttps%3A%2F%2Fraw.githubusercontent.com%2FOpen-Assistant%2Foasst-model-eval%2Fmain%2Fsampling_reports%2Foasst-sft%2F2023-06-03_OpenAssistant_falcon-40b-sft-top1-560_sampling_noprefix2.json) (Checkpoint: 560 steps)
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+ - **Eval results:** [ilm-eval](https://tju01.github.io/ilm-eval/)
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+ - **Weights & Biases**: [Training log](https://wandb.ai/open-assistant/public-sft/runs/3lr77x4h)
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+ - **License:** Apache 2.0
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+ - **Contact:** [Open-Assistant Discord](https://ykilcher.com/open-assistant-discord)
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+
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+
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+ ## Prompting
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+
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+ Two special tokens are used to mark the beginning of user and assistant turns:
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+ `<|prompter|>` and `<|assistant|>`. Each turn ends with a `<|endoftext|>` token.
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+
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+ Input prompt example:
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+ ```
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+ <|prompter|>What is a meme, and what's the history behind this word?<|endoftext|><|assistant|>
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+ ```
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+ The input ends with the `<|assistant|>` token to signal that the model should
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+ start generating the assistant reply.
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+
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+ ## Configuration Details
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  Model:
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  ```