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dilr
/
Mira-Q2

Text Generation
PEFT
Safetensors
English
clinical
extraction
medical
qlora
lora
healthcare
on-prem
dilr
schema-agnostic
conversational
Model card Files Files and versions
xet
Community

Instructions to use dilr/Mira-Q2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use dilr/Mira-Q2 with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("unsloth/qwen2.5-3b-instruct-unsloth-bnb-4bit")
    model = PeftModel.from_pretrained(base_model, "dilr/Mira-Q2")
  • Notebooks
  • Google Colab
  • Kaggle
Mira-Q2
132 MB
Ctrl+K
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  • 1 contributor
History: 5 commits
shekharp77's picture
shekharp77
Upload README.md with huggingface_hub
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  • eval
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  • .gitattributes
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  • README.md
    6.11 kB
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  • adapter_config.json
    1.21 kB
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  • adapter_model.safetensors
    120 MB
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  • chat_template.jinja
    2.51 kB
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  • tokenizer.json
    11.4 MB
    xet
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  • tokenizer_config.json
    4.56 kB
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