Instructions to use frankmorales2020/POC-NEW-Meta-Llama-3-8B-MEDAL-flash-attention-2-cosine-evaldata with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use frankmorales2020/POC-NEW-Meta-Llama-3-8B-MEDAL-flash-attention-2-cosine-evaldata with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3-8B") model = PeftModel.from_pretrained(base_model, "frankmorales2020/POC-NEW-Meta-Llama-3-8B-MEDAL-flash-attention-2-cosine-evaldata") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 100
Browse files
adapter_config.json
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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"gate_proj"
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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adapter_model.safetensors
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logs/events.out.tfevents.1719190919.1fa3d88adcea.55250.0
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training_args.bin
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