Instructions to use nmarafo/Gemma-7B-it-4bit-TrueFalse-Feedback with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nmarafo/Gemma-7B-it-4bit-TrueFalse-Feedback with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-7b-it") model = PeftModel.from_pretrained(base_model, "nmarafo/Gemma-7B-it-4bit-TrueFalse-Feedback") - Notebooks
- Google Colab
- Kaggle
Upload 12 files
Browse files- adapter_config.json +3 -3
- adapter_model.safetensors +1 -1
- optimizer.pt +1 -1
- rng_state.pth +1 -1
- scheduler.pt +1 -1
- trainer_state.json +663 -33
- training_args.bin +1 -1
adapter_config.json
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"task_type": "CAUSAL_LM",
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"use_rslora": false
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"rank_pattern": {},
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"revision": null,
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"task_type": "CAUSAL_LM",
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"use_rslora": false
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adapter_model.safetensors
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optimizer.pt
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rng_state.pth
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scheduler.pt
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trainer_state.json
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