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golaxy
/
ReDI_Interpretation_Dense

PEFT
Safetensors
llama-factory
lora
Generated from Trainer
Model card Files Files and versions
xet
Community

Instructions to use golaxy/ReDI_Interpretation_Dense with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use golaxy/ReDI_Interpretation_Dense with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("/root/paddlejob/workspace/env_run/output/llm/Qwen3-8B")
    model = PeftModel.from_pretrained(base_model, "golaxy/ReDI_Interpretation_Dense")
  • Notebooks
  • Google Colab
  • Kaggle
ReDI_Interpretation_Dense / checkpoint-500
278 MB
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  • 1 contributor
History: 1 commit
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moshesbeta
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  • README.md
    5.13 kB
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  • adapter_config.json
    884 Bytes
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  • adapter_model.safetensors
    87.4 MB
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  • added_tokens.json
    707 Bytes
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  • chat_template.jinja
    4.12 kB
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  • merges.txt
    1.67 MB
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  • optimizer.pt
    175 MB
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  • rng_state.pth
    14.2 kB
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  • scheduler.pt
    1.06 kB
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  • special_tokens_map.json
    613 Bytes
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  • tokenizer.json
    11.4 MB
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  • tokenizer_config.json
    5.43 kB
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  • trainer_state.json
    9.45 kB
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  • training_args.bin
    5.75 kB
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  • vocab.json
    2.78 MB
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