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Noromaid 7B v0.4 DPO - AWQ

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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:

Prompt template: ChatML

<|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

DPO training data

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4
Safetensors
Model size
1.2B params
Tensor type
I32
·
FP16
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Inference API
Input a message to start chatting with solidrust/Noromaid-7B-0.4-DPO-AWQ.
Inference API (serverless) has been turned off for this model.

Quantized from

Datasets used to train solidrust/Noromaid-7B-0.4-DPO-AWQ

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