Noromaid 7B v0.4 DPO - AWQ

Model creator: IkariDev and Undi
Original model: Noromaid 7B v0.4 DPO

Model description

This repo contains AWQ model files for IkariDev and Undi's Noromaid 7B v0.4 DPO.

These files were quantised using hardware kindly provided by SolidRusT Networks.

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

Prompt template: ChatML

plaintext

<|im_start|>system
{system_message}<|im_end|>
<|im_start|>user
{prompt}<|im_end|>
<|im_start|>assistant

Training data

no_robots dataset let the model have more human behavior, enhances the output.
[Aesir Private RP dataset] New data from a new and never used before dataset, add fresh data, no LimaRP spam, this is 100% new. Thanks to the MinvervaAI Team and, in particular, Gryphe for letting us use it!
[Another private Aesir dataset]
[Another private Aesir dataset]
limarp

solidrust/
Noromaid-7B-0.4-DPO-AWQ

Noromaid 7B v0.4 DPO - AWQ

Model description

About AWQ

Prompt template: ChatML

Training data

DPO training data

solidrust/Noromaid-7B-0.4-DPO-AWQ

Noromaid 7B v0.4 DPO - AWQ

Model description

About AWQ

Prompt template: ChatML

Training data

DPO training data

solidrust/
Noromaid-7B-0.4-DPO-AWQ