Instructions to use AnushaKulkarni/q4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use AnushaKulkarni/q4 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Llama-2-7b-chat-hf") model = PeftModel.from_pretrained(base_model, "AnushaKulkarni/q4") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files
adapter_config.json
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"dense",
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"v_proj",
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"k_proj",
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"fc2",
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"fc1"
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"rank_pattern": {},
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"target_modules": [
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"q_proj",
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"lm_head",
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"k_proj",
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"dense",
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"v_proj",
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"fc2",
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"fc1"
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adapter_model.safetensors
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runs/Feb26_00-11-38_ip-10-192-10-81/events.out.tfevents.1708906298.ip-10-192-10-81.48422.2
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training_args.bin
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