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dolphin-2.8-mistral-7b-v02-AWQ
srt-testing/dolphin-2.8-mistral-7b-v02-AWQ
dolphin-2.8-mistral-7b-v02-AWQ is a machine learning model from srt-testing. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
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Updated Sep 4, 2024
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At a glance
- Access
- Public
- Created
- Sep 4, 2024
- Updated
- Sep 4, 2024
- SHA
- b2907375
Model card
From the Hugging Face model README
cognitivecomputations/dolphin-2.8-mistral-7b-v02 AWQ
** PROCESSING .... ETA 30mins **
- Model creator: cognitivecomputations
- Original model: dolphin-2.8-mistral-7b-v02
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
- Created
- Sep 4, 2024
- Updated
- Sep 4, 2024