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--- |
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language: |
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- en |
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license: llama3 |
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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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- llama |
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- trl |
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- not-for-all-audiences |
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base_model: unsloth/llama-3-8b-bnb-4bit |
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datasets: |
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- grimulkan/LimaRP-augmented |
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- mpasila/LimaRP-augmented-8k-context |
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library_name: peft |
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--- |
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This was made using the Llama 3 Instruct prompt formatting so that it should be easier to be merged with other models using that format. |
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LoRA trained in 4-bit with 8k context using [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B/) as the base model for 1 epoch. |
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Dataset used is [a modified](https://huggingface.co/datasets/mpasila/LimaRP-augmented-8k-context) version of [grimulkan/LimaRP-augmented](https://huggingface.co/datasets/grimulkan/LimaRP-augmented). |
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### Prompt format: Llama 3 Instruct |
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There might be a slight issue with the prompt formatting since Unsloth decided to leave "gpt" and "user" to the prompts which seem to not be handled correctly all the time. |
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# Uploaded model |
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- **Developed by:** mpasila |
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- **License:** Llama 3 Community License |
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- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit |
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This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library. |
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth) |
