solidrust / Gemma-2-Ataraxy-9B-AWQ

huggingface.co
Total runs: 22
24-hour runs: 1
7-day runs: 4
30-day runs: 7
Model's Last Updated: September 20 2024
text-generation

Introduction of Gemma-2-Ataraxy-9B-AWQ

Model Details of Gemma-2-Ataraxy-9B-AWQ

lemon07r/Gemma-2-Ataraxy-9B AWQ

** PROCESSING .... ETA 30mins **

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:

Runs of solidrust Gemma-2-Ataraxy-9B-AWQ on huggingface.co

22
Total runs
1
24-hour runs
-2
3-day runs
4
7-day runs
7
30-day runs

More Information About Gemma-2-Ataraxy-9B-AWQ huggingface.co Model

Gemma-2-Ataraxy-9B-AWQ huggingface.co

Gemma-2-Ataraxy-9B-AWQ huggingface.co is an AI model on huggingface.co that provides Gemma-2-Ataraxy-9B-AWQ's model effect (), which can be used instantly with this solidrust Gemma-2-Ataraxy-9B-AWQ model. huggingface.co supports a free trial of the Gemma-2-Ataraxy-9B-AWQ model, and also provides paid use of the Gemma-2-Ataraxy-9B-AWQ. Support call Gemma-2-Ataraxy-9B-AWQ model through api, including Node.js, Python, http.

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solidrust Gemma-2-Ataraxy-9B-AWQ online free

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Gemma-2-Ataraxy-9B-AWQ install

Gemma-2-Ataraxy-9B-AWQ is an open source model from GitHub that offers a free installation service, and any user can find Gemma-2-Ataraxy-9B-AWQ on GitHub to install. At the same time, huggingface.co provides the effect of Gemma-2-Ataraxy-9B-AWQ install, users can directly use Gemma-2-Ataraxy-9B-AWQ installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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Url of Gemma-2-Ataraxy-9B-AWQ

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