shimmyshimmer
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README.md
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license: apache-2.0
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---
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Directly quantized 4bit model with `bitsandbytes`.
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We have a Google Colab Tesla T4 notebook for Mistral 7b here: https://colab.research.google.com/drive/1Dyauq4kTZoLewQ1cApceUQVNcnnNTzg_?usp=sharing
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language:
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- en
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license: apache-2.0
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library_name: transformers
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tags:
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- unsloth
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- transformers
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- mistral
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- mistral7b
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- bnb
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# Finetune Mistral, Gemma, Llama 2-5x faster with 70% less memory via Unsloth!
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Directly quantized 4bit model with `bitsandbytes`.
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We have a Google Colab Tesla T4 notebook for Mistral 7b here: https://colab.research.google.com/drive/1Dyauq4kTZoLewQ1cApceUQVNcnnNTzg_?usp=sharing
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/Discord%20button.png" width="200"/>](https://discord.gg/u54VK8m8tk)
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/buy%20me%20a%20coffee%20button.png" width="200"/>](https://ko-fi.com/unsloth)
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="400"/>](https://github.com/unslothai/unsloth)
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