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hotdogs
/
qwen3.6-35b-opus-to-kimi-lora

Text Generation
PEFT
Safetensors
GGUF
English
Thai
lora
qwen3.5-moe
qwen3.6
reasoning
kimi-k2.6
claude-opus
distillation
weight-diff
svd
Model card Files Files and versions
xet
Community

Instructions to use hotdogs/qwen3.6-35b-opus-to-kimi-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use hotdogs/qwen3.6-35b-opus-to-kimi-lora with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("lordx64/Qwen3.6-35B-A3B-Claude-4.7-Opus-Reasoning-Distilled")
    model = PeftModel.from_pretrained(base_model, "hotdogs/qwen3.6-35b-opus-to-kimi-lora")
  • Notebooks
  • Google Colab
  • Kaggle
qwen3.6-35b-opus-to-kimi-lora / figures
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  • 1 contributor
History: 1 commit
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hotdogs
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  • fig1_delta_magnitudes.png
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  • fig2_rank_vs_error.png
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  • fig3_pipeline.png
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  • fig4_layer_analysis.png
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