Transformers
GGUF
Inference Endpoints
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+ ---
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+ library_name: transformers
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+ base_model:
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+ - nbeerbower/Hermes2-Gutenberg2-Mistral-7B
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+ datasets:
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+ - flammenai/Date-DPO-NoAsterisks
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+ - jondurbin/truthy-dpo-v0.1
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+ license: apache-2.0
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+
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+ ---
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+ [![QuantFactory Banner](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeiuCm7c8lEwEJuRey9kiVZsRn2W-b4pWlu3-X534V3YmVuVc2ZL-NXg2RkzSOOS2JXGHutDuyyNAUtdJI65jGTo8jT9Y99tMi4H4MqL44Uc5QKG77B0d6-JfIkZHFaUA71-RtjyYZWVIhqsNZcx8-OMaA?key=xt3VSDoCbmTY7o-cwwOFwQ)](https://hf.co/QuantFactory)
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+ # QuantFactory/Flammades-Mistral-7B-GGUF
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+ This is quantized version of [flammenai/Flammades-Mistral-7B](https://huggingface.co/flammenai/Flammades-Mistral-7B) created using llama.cpp
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+
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+ # Original Model Card
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+ # Flammades-Mistral-7B
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+ [nbeerbower/Hermes2-Gutenberg2-Mistral-7B](https://huggingface.co/nbeerbower/Hermes2-Gutenberg2-Mistral-7B) finetuned on [flammenai/Date-DPO-NoAsterisks](https://huggingface.co/datasets/flammenai/Date-DPO-NoAsterisks) and [jondurbin/truthy-dpo-v0.1](https://huggingface.co/datasets/jondurbin/truthy-dpo-v0.1).
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+ ### Method
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+ [ORPO tuned](https://mlabonne.github.io/blog/posts/2024-04-19_Fine_tune_Llama_3_with_ORPO.html) with 2x RTX 3090 for 3 epochs.