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README.md
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---
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language:
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- en
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license:
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tags:
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- text-generation-inference
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- transformers
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- unsloth
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- mistral
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base_model: cgato/Thespis-CurtainCall-7b-v0.3
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#
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- **Developed by:** maldv
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- **License:**
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- **Finetuned from model
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="
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language:
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- en
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license: cc-by-nc-4.0
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tags:
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- text-generation-inference
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- transformers
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- unsloth
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- mistral
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- GEB
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base_model: cgato/Thespis-CurtainCall-7b-v0.3
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datasets:
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- maldv/crabcanon
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# SHRDFU-7b β
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- **Developed by:** maldv
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- **License:** cc-by-nc-4.0
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- **Finetuned from model:** cgato/Thespis-CurtainCall-7b-v0.3
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- **Methodology:** Targeting attention layers with peft to condition; then small full layer tuning; extending intelligence and problem solving w/ crabcanon
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As I work on understanding how to layer information in to the model, I'm having a tough time with this one without making it crazy. Maybe crazy was the way to go?
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="50"/>](https://github.com/unslothai/unsloth)
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