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