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pastiche-crown-clown-7b-dare-awq
CorticalStack/pastiche-crown-clown-7b-dare-awq
pastiche-crown-clown-7b-dare-awq is a text generation model from CorticalStack. 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.
CoCorticalStack/pastiche-crown-clown-7b-dare-awq is an AWQ quantised version of CorticalStack/pastiche-crown-clown-7b-dare.
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Model card
From the Hugging Face model README
CoCorticalStack/pastiche-crown-clown-7b-dare-awq
CoCorticalStack/pastiche-crown-clown-7b-dare-awq is an AWQ quantised version of CorticalStack/pastiche-crown-clown-7b-dare.
About AWQ
AWQ is an efficient, accurate and blazing-fast low-bit weight quantization method, currently supporting 4-bit quantization. Compared to GPTQ, it offers faster Transformers-based inference with equivalent or better quality compared to the most commonly used GPTQ settings.
AWQ models are currently supported on Linux and Windows, with NVidia GPUs only. macOS users: please use GGUF models instead.
It is supported by:
- Text Generation Webui - using Loader: AutoAWQ
- vLLM - version 0.2.2 or later for support for all model types.
- Hugging Face Text Generation Inference (TGI)
- Transformers version 4.35.0 and later, from any code or client that supports Transformers
- AutoAWQ - for use from Python code
AWQ configuration
- Zero point: True
- Q group size: 128
- W bit: 4
- Version: GEMM
- Task
- Text Generation
- Library
- transformers
- Type
- mistral
- License
- apache-2.0
- Created
- Mar 3, 2024
- Updated
- Mar 3, 2024