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jusjinuk
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Llama-3.3-70B-Instruct-4bit-SqueezeLLM

PyTorch
llama
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Model Card

  • Base model: meta-llama/Llama-3.3-70B-Instruct
  • Quantization method: SqueezeLLM
  • Target bit-width: 4
  • Backend kernel: Any-Precision-LLM kernel (ap-gemv)
  • Calibration data: RedPajama (1024 sentences / 4096 tokens)
  • Calibration objective: Next-token prediction

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meta-llama/Llama-3.1-70B
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