Librarian Bot: Add base_model information to model
#1
by
librarian-bot
- opened
README.md
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license: cc-by-4.0
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datasets:
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- yahma/alpaca-cleaned
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language:
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- en
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metrics:
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- accuracy
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---
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This represents the PEFT weights only. The base model is LLaMA 2. Instruction finetuning was done using 4 bit QLoRA on a single A100 GPU with the PEFT config as given below. The dataset used for this instruction finetuning process is a translated version of the cleaned alpaca dataset (translated using NLLB-1.3B).
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language:
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- en
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license: cc-by-4.0
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library_name: peft
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datasets:
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- yahma/alpaca-cleaned
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metrics:
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- accuracy
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base_model: meta-llama/Llama-2-70b-hf
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---
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This represents the PEFT weights only. The base model is LLaMA 2. Instruction finetuning was done using 4 bit QLoRA on a single A100 GPU with the PEFT config as given below. The dataset used for this instruction finetuning process is a translated version of the cleaned alpaca dataset (translated using NLLB-1.3B).
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