Instructions to use DataCleaning/Fine-Tune-Llama3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DataCleaning/Fine-Tune-Llama3 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Hermes-3-Llama-3.1-8B") model = PeftModel.from_pretrained(base_model, "DataCleaning/Fine-Tune-Llama3") - Notebooks
- Google Colab
- Kaggle
Upload 2 files
Browse files
generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 128000,
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"do_sample": true,
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"eos_token_id": 128040,
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"temperature": 0.6,
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"top_p": 0.9,
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"transformers_version": "4.44.0.dev0"
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}
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model-00004-of-00004.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:816677193102f06e05b51f3ad8f0a4b81b9e17b5486eddd82db1276237995020
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size 1168138808
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