Text Generation
PEFT
Safetensors
llama-2
Eval Results
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@@ -26,9 +26,6 @@ This instruction model was built via parameter-efficient QLoRA finetuning of [ll
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  * Model license: Llama 2 Community License Agreement
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  * Basic usage: [notebook](assets/basic_inference_llama_2_dolphin.ipynb)
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- * Finetuning code: [script](https://github.com/daniel-furman/sft-demos/blob/main/src/sft/one_gpu/llama-2/dolphin/sft-Llama-2-70B-Instruct-v0.1-peft.py)
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- * Loss curves: [plot](https://huggingface.co/dfurman/Llama-2-70B-Instruct-v0.1-peft#finetuning-description)
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- * Runtime stats: [table](https://huggingface.co/dfurman/Llama-2-70B-Instruct-v0.1-peft#runtime-tests)
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  ## Open LLM Leaderboard Evaluation Results
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  Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_dfurman__llama-2-70b-dolphin-peft)
 
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  * Model license: Llama 2 Community License Agreement
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  * Basic usage: [notebook](assets/basic_inference_llama_2_dolphin.ipynb)
 
 
 
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  ## Open LLM Leaderboard Evaluation Results
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  Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_dfurman__llama-2-70b-dolphin-peft)