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Notus 7B V1 GGUF by TheBloke

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  Base model:argilla/notus-7b-v1 Base model:quantized:argilla/n...   Conversational Dataset:argilla/ultrafeedback-...   Dpo   En   Gguf   Mistral   Model-index   Preference   Quantized   Region:us   Rlaif   Ultrafeedback
Model Card on HF 🤗: https://huggingface.co/TheBloke/notus-7B-v1-GGUF 

Notus 7B V1 GGUF Benchmarks

LLME Score: 0.1454
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Notus 7B V1 GGUF (TheBloke/notus-7B-v1-GGUF)

Notus 7B V1 GGUF Parameters and Internals

Model Type 
GPT-like, DPO fine-tuned
Additional Notes 
Notus models are intended to be used as assistants via chat-like applications.
Supported Languages 
en (Primary)
Training Details 
Data Sources:
openbmb/UltraFeedback
Data Volume:
Curated ultra-feedback binarized preferences
Methodology:
Direct Preference Optimization (DPO)
Hardware Used:
VM with 8 x A100 40GB, GCP for experiments
Input Output 
Input Format:
<|system|> ~~ <|user|> {prompt}~~ <|assistant|>
Accepted Modalities:
text
Output Format:
text response
LLM NameNotus 7B V1 GGUF
Repository 🤗https://huggingface.co/TheBloke/notus-7B-v1-GGUF 
Model NameNotus 7B v1
Model CreatorArgilla
Base Model(s)  Notus 7B V1   argilla/notus-7b-v1
Model Size7b
Required VRAM3.1 GB
Updated2025-06-03
MaintainerTheBloke
Model Typemistral
Model Files  3.1 GB   3.8 GB   3.5 GB   3.2 GB   4.1 GB   4.4 GB   4.1 GB   5.0 GB   5.1 GB   5.0 GB   5.9 GB   7.7 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licensemit

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/notus-7B-v1-GGUF.

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