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auro-rirum
/
LogSage-Qwen2.5-7B-QLoRA-v0

Text Generation
PEFT
Safetensors
qlora
lora
qwen2.5
log-analysis
incident-triage
root-cause-analysis
devops
sre
structured-output
local-inference
learning-grade
conversational
Model card Files Files and versions
xet
Community

Instructions to use auro-rirum/LogSage-Qwen2.5-7B-QLoRA-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use auro-rirum/LogSage-Qwen2.5-7B-QLoRA-v0 with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-7B-Instruct-bnb-4bit")
    model = PeftModel.from_pretrained(base_model, "auro-rirum/LogSage-Qwen2.5-7B-QLoRA-v0")
  • Notebooks
  • Google Colab
  • Kaggle
LogSage-Qwen2.5-7B-QLoRA-v0
92.3 MB
Ctrl+K
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  • 1 contributor
History: 9 commits
auro-rirum's picture
auro-rirum
docs: improve LogSage model card
602039f verified 3 months ago
  • .gitattributes
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  • LogSage_Inference_Colab.ipynb
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  • README.md
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  • adapter_config.json
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  • adapter_model.safetensors
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  • chat_template.jinja
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  • dataset_stats.json
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  • environment.json
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  • eval_outputs.jsonl
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  • metrics.json
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  • tokenizer.json
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  • tokenizer_config.json
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  • training_config.json
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  • training_report.md
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