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Qwen2.5-Coder-32B-Instruct-AutoRound-GPTQ-4bit
kaitchup/Qwen2.5-Coder-32B-Instruct-AutoRound-GPTQ-4bit
Qwen2.5-Coder-32B-Instruct-AutoRound-GPTQ-4bit is a text generation model from kaitchup. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
This is Qwen/Qwen2.5-Coder-32B-Instruct quantized with AutoRound (symmetric quantization) and serialized with the GPTQ format in 4-bit. The model has been created, tested, and evaluated by The Kaitchup.
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Model card
From the Hugging Face model README
Model Details
This is Qwen/Qwen2.5-Coder-32B-Instruct quantized with AutoRound (symmetric quantization) and serialized with the GPTQ format in 4-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
- Task
- Text Generation
- Library
- transformers
- Type
- qwen2
- License
- apache-2.0
- Languages
- en
- Created
- Nov 14, 2024
- Updated
- Nov 15, 2024