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---
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license: cc-by-nc-4.0
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---
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base_model: NeverSleep/Noromaid-7B-0.4-DPO
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license: cc-by-nc-4.0
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model_creator: IkariDev and Undi
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model_name: Noromaid 7B v0.4 DPO
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model_type: mistral
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prompt_template: <|im_start|>system
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You are Noromaid, a helpful AI companion.<|im_end|>
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<|im_start|>user
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{prompt}<|im_end|>
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<|im_start|>assistant
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quantized_by: Suparious
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# Noromaid 7B v0.4 DPO - AWQ
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- Model creator: [IkariDev and Undi](https://huggingface.co/NeverSleep)
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- Original model: [Noromaid 13B v0.3](https://huggingface.co/NeverSleep/Noromaid-7B-0.4-DPO)
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## Model description
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This repo contains AWQ model files for [IkariDev and Undi's Noromaid 7B v0.4 DPO](https://huggingface.co/NeverSleep/Noromaid-7B-0.4-DPO).
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These files were quantised using hardware kindly provided by [SolidRusT Networks](https://solidrust.net/).
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### About AWQ
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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.
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AWQ models are currently supported on Linux and Windows, with NVidia GPUs only. macOS users: please use GGUF models instead.
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It is supported by:
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- [Text Generation Webui](https://github.com/oobabooga/text-generation-webui) - using Loader: AutoAWQ
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- [vLLM](https://github.com/vllm-project/vllm) - version 0.2.2 or later for support for all model types.
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- [Hugging Face Text Generation Inference (TGI)](https://github.com/huggingface/text-generation-inference)
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- [Transformers](https://huggingface.co/docs/transformers) version 4.35.0 and later, from any code or client that supports Transformers
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- [AutoAWQ](https://github.com/casper-hansen/AutoAWQ) - for use from Python code
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