metadata
tags:
- finetuned
- quantized
- 4-bit
- AWQ
- transformers
- pytorch
- mistral
- instruct
- text-generation
- conversational
- license:apache-2.0
- autotrain_compatible
- endpoints_compatible
- text-generation-inference
- finetune
- chatml
model-index:
- name: Noromaid-7B-0.4-DPO
results: []
base_model: NeverSleep/Noromaid-7B-0.4-DPO
datasets:
- Undi95/Llama2-13B-no_robots-alpaca-lora
- NobodyExistsOnTheInternet/ToxicDPOqa
- Undi95/toxic-dpo-v0.1-NoWarning
license: cc-by-nc-4.0
library_name: transformers
model_creator: IkariDev and Undi
model_name: Noromaid 7B v0.4 DPO
model_type: mistral
pipeline_tag: text-generation
inference: false
prompt_template: |
<|im_start|>system
{system_message}<|im_end|>
<|im_start|>user
{prompt}<|im_end|>
<|im_start|>assistant
quantized_by: Suparious
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
<|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