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metadata
language:
  - en
library_name: transformers
tags:
  - auto-gptq
  - AutoRound
license: apache-2.0

Model Details

This is Qwen/Qwen2.5-72B-Instruct quantized with AutoRound (symmetric quantization) and serialized with the GPTQ format in 2-bit. The model has been created, tested, and evaluated by The Kaitchup.

Details on the quantization process and how to use the model here: The Best Quantization Methods to Run Llama 3.1 on Your GPU

It is possible to fine-tune an adapter on top of it following the QLoRA methodology. More about this here: QLoRA with AutoRound: Cheaper and Better LLM Fine-tuning on Your GPU

  • Developed by: The Kaitchup
  • Language(s) (NLP): English
  • License: Apache 2.0 license