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AhmedAyman
/
k2-think-cuda-1505

Text Generation
PEFT
Safetensors
cuda
gpu
programming
kernel
optimization
rocm
lora
conversational
Model card Files Files and versions
xet
Community
1

Instructions to use AhmedAyman/k2-think-cuda-1505 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use AhmedAyman/k2-think-cuda-1505 with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("LLM360/K2-Think")
    model = PeftModel.from_pretrained(base_model, "AhmedAyman/k2-think-cuda-1505")
  • Notebooks
  • Google Colab
  • Kaggle
k2-think-cuda-1505
553 MB
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  • 1 contributor
History: 13 commits
AhmedAyman's picture
AhmedAyman
Update README.md
7a2faa5 verified 10 months ago
  • .gitattributes
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  • README.md
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  • adapter_config.json
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  • adapter_model.safetensors
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  • added_tokens.json
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  • chat_template.jinja
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  • merges.txt
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  • special_tokens_map.json
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  • tokenizer.json
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  • tokenizer_config.json
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  • vocab.json
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