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Epiculous
/
llmTechChat-lora

PEFT
Safetensors
mistral
Generated from Trainer
8-bit precision
bitsandbytes
Model card Files Files and versions
xet
Community

Instructions to use Epiculous/llmTechChat-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use Epiculous/llmTechChat-lora with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-v0.1")
    model = PeftModel.from_pretrained(base_model, "Epiculous/llmTechChat-lora")
  • Notebooks
  • Google Colab
  • Kaggle
llmTechChat-lora
11.2 GB
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  • 1 contributor
History: 2 commits
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Epiculous
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  • .gitattributes
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  • README.md
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  • adapter_config.json
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  • adapter_model.safetensors
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  • config.json
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  • epoch2.zip

    Pickle imports

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  • special_tokens_map.json
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  • tokenizer.model
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  • tokenizer_config.json
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