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README.md ADDED
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+ ---
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+ library_name: trl
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+ license: apache-2.0
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+ datasets:
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+ - argilla/dpo-mix-7k
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+ language:
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+ - en
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+ tags:
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+ - distilabel
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+ - dpo
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+ - rlaif
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+ - rlhf
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+ ---
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+
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+ # CapybaraHermes-2.5-Mistral-7B
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+ <div>
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+ <img src="https://cdn-uploads.huggingface.co/production/uploads/60420dccc15e823a685f2b03/Vmr0FtTvnny6Snm-UDM_n.png">
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+ </div>
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+
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+ <p align="center">
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+ <a href="https://github.com/argilla-io/distilabel">
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+ <img src="https://raw.githubusercontent.com/argilla-io/distilabel/main/docs/assets/distilabel-badge-light.png" alt="Built with Distilabel" width="200" height="32"/>
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+ </a>
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+ </p>
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+
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+
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+ This model is the launching partner of the [capybara-dpo dataset](https://huggingface.co/datasets/argilla/distilabel-capybara-dpo-9k-binarized) build with ⚗️ distilabel. It's a preference tuned [OpenHermes-2.5-Mistral-7B](https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B).
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+
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+ CapybaraHermes has been preference tuned with LoRA and TRL for 3 epochs using argilla's [dpo mix 7k](https://huggingface.co/datasets/argilla/dpo-mix-7k).
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+
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+ To test the impact on multi-turn performance we have used MTBench. We also include the Nous Benchmark results and Mistral-7B-Instruct-v0.2 for reference as it's a strong 7B model on MTBench:
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+
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+ | Model | AGIEval | GPT4All | TruthfulQA | Bigbench | MTBench First Turn | MTBench Second Turn | Nous avg. | MTBench avg. |
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+ |-----------------------------------|---------|---------|------------|----------|------------|-------------|-----------|--------------|
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+ | argilla/CapybaraHermes-2.5-Mistral-7B | **43.8** | **73.35** | 57.07 | **42.44** | 8.24375 | **7.5625** | 54.16 | **7.903125** |
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+ | teknium/OpenHermes-2.5-Mistral-7B | 42.75 | 72.99 | 52.99 | 40.94 | **8.25** | 7.2875 | 52.42 | 7.76875 |
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+ | Mistral-7B-Instruct-v0.2 | 38.5 | 71.64 | **66.82** | 42.29 | 7.8375 | 7.1 | **54.81** | 7.46875 |
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+
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+ The most interesting aspect in the context of the capybara-dpo dataset is the increased performance in MTBench Second Turn scores.
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+
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+ For the merge lovers, we also preference tuned Beagle14-7B with a mix of capybara-dpo and distilabel orca pairs using the same recipe as NeuralBeagle (see [ YALL - Yet Another LLM Leaderboard](https://huggingface.co/spaces/mlabonne/Yet_Another_LLM_Leaderboard) for reference):
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+
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+ | Model |AGIEval|GPT4All|TruthfulQA|Bigbench|Average|
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+ |------------------------------------------------------------------------------------------------------------------------------------|------:|------:|---------:|-------:|------:|
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+ |[DistilabelBeagle14-7B](https://huggingface.co/dvilasuero/DistilabelBeagle14-7B)| 45.29| 76.92| 71.66| 48.78| 60.66|
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+
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+
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+
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+
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+ ## Model Details
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+
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+ ### Model Description
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+
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+ <!-- Provide a longer summary of what this model is. -->
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+
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+ This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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+
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+ - **Developed by:** Argilla
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+ - **Shared by [optional]:** Argilla
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+ - **Model type:** 7B chat model
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+ - **Language(s) (NLP):** English
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+ - **License:** Same as OpenHermes
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+ - **Finetuned from model [optional]:** [OpenHermes-2.5-Mistral-7B](https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B)
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+
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+ "vocab_size": 32002
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+ url: https://huggingface.co/argilla/CapybaraHermes-2.5-Mistral-7B
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+ branch: main
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+ download date: 2024-02-01 00:42:52
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