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PursuitOfDataScience
/
Muse-Glimmer-30B-ToolCall-LoRA

Text Generation
PEFT
Safetensors
lora
tool-calling
function-calling
agentic
muse-glimmer
Model card Files Files and versions
xet
Community

Instructions to use PursuitOfDataScience/Muse-Glimmer-30B-ToolCall-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use PursuitOfDataScience/Muse-Glimmer-30B-ToolCall-LoRA with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("<local-path>")
    model = PeftModel.from_pretrained(base_model, "PursuitOfDataScience/Muse-Glimmer-30B-ToolCall-LoRA")
  • Notebooks
  • Google Colab
  • Kaggle
Muse-Glimmer-30B-ToolCall-LoRA
767 MB
Ctrl+K
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  • 1 contributor
History: 3 commits
PursuitOfDataScience's picture
PursuitOfDataScience
Paired significance testing on every reported metric
9c59261 verified 19 days ago
  • benchmarks
    Agentic tool-calling LoRA: +4.0pp BFCL AST accuracy out-of-distribution, +14pp GSM8K (p<0.0001) 19 days ago
  • .gitattributes
    1.52 kB
    initial commit 19 days ago
  • README.md
    8 kB
    Paired significance testing on every reported metric 19 days ago
  • adapter_config.json
    1.03 kB
    Agentic tool-calling LoRA: +4.0pp BFCL AST accuracy out-of-distribution, +14pp GSM8K (p<0.0001) 19 days ago
  • adapter_model.safetensors
    767 MB
    xet
    Agentic tool-calling LoRA: +4.0pp BFCL AST accuracy out-of-distribution, +14pp GSM8K (p<0.0001) 19 days ago
  • training_state.json
    15.9 kB
    Agentic tool-calling LoRA: +4.0pp BFCL AST accuracy out-of-distribution, +14pp GSM8K (p<0.0001) 19 days ago