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--- |
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tags: |
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- finetuned |
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- quantized |
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- 4-bit |
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- AWQ |
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- transformers |
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- pytorch |
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- mistral |
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- instruct |
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- text-generation |
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- conversational |
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- license:apache-2.0 |
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- autotrain_compatible |
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- endpoints_compatible |
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- text-generation-inference |
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- finetune |
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- chatml |
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model-index: |
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- name: Noromaid-7B-0.4-DPO |
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results: [] |
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base_model: NeverSleep/Noromaid-7B-0.4-DPO |
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datasets: |
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- Undi95/Llama2-13B-no_robots-alpaca-lora |
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- NobodyExistsOnTheInternet/ToxicDPOqa |
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- Undi95/toxic-dpo-v0.1-NoWarning |
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license: cc-by-nc-4.0 |
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library_name: transformers |
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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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pipeline_tag: text-generation |
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inference: false |
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prompt_template: '<|im_start|>system |
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{system_message}<|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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' |
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quantized_by: Suparious |
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--- |
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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 7B v0.4 DPO](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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## Prompt template: ChatML |
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```plaintext |
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<|im_start|>system |
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{system_message}<|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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``` |
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## Training data |
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- [no_robots dataset](https://huggingface.co/Undi95/Llama2-13B-no_robots-alpaca-lora) let the model have more human behavior, enhances the output. |
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- [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](https://huggingface.co/MinervaAI) and, in particular, [Gryphe](https://huggingface.co/Gryphe) for letting us use it! |
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- [Another private Aesir dataset] |
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- [Another private Aesir dataset] |
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- [limarp](https://huggingface.co/datasets/lemonilia/LimaRP) |
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## DPO training data |
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- [Intel/orca_dpo_pairs](https://huggingface.co/datasets/Intel/orca_dpo_pairs) |
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- [NobodyExistsOnTheInternet/ToxicDPOqa](https://huggingface.co/datasets/NobodyExistsOnTheInternet/ToxicDPOqa) |
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- [Undi95/toxic-dpo-v0.1-NoWarning](https://huggingface.co/datasets/Undi95/toxic-dpo-v0.1-NoWarning) |
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