Instructions to use frankmorales2020/Mistral-7B-v0.1_AviationQA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use frankmorales2020/Mistral-7B-v0.1_AviationQA with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.1") model = PeftModel.from_pretrained(base_model, "frankmorales2020/Mistral-7B-v0.1_AviationQA") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 0
Browse files
README.md
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## Model description
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Fine Tunning Notebook: https://github.com/frank-morales2020/MLxDL/blob/main/FineTuning_Mistral_7b_hfdeployment_dataset_AviationQA.ipynb
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## Intended uses & limitations
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## Training and evaluation data
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Evaluation Notebook: https://github.com/frank-morales2020/MLxDL/blob/main/FineTunning_Testing_For_AviationQADataset_.ipynb
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## Training procedure
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## Model description
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More information needed
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## Intended uses & limitations
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## Training and evaluation data
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More information needed
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## Training procedure
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adapter_config.json
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"down_proj",
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"up_proj",
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"k_proj",
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"
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"gate_proj",
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"q_proj",
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"o_proj"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"o_proj",
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"v_proj",
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"q_proj",
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"down_proj",
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"up_proj",
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"k_proj",
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"gate_proj"
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],
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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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runs/Jun14_07-09-44_8124449ca34f/events.out.tfevents.1718349002.8124449ca34f.1418.0
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training_args.bin
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