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Notus 7B V1.8.0bpw H8 EXL2 by LoneStriker

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Notus 7B V1.8.0bpw H8 EXL2 is an open-source language model by LoneStriker. Features: 7b LLM, VRAM: 7.4GB, Context: 32K, License: mit, Quantized, LLM Explorer Score: 0.11.

Base model:alignment-handbook/... Base model:finetune:alignment-...   Conversational Dataset:argilla/ultrafeedback-...   Dpo   En   Endpoints compatible   Exl2   Mistral   Model-index   Preference   Quantized   Region:us   Rlaif   Safetensors   Ultrafeedback
Model Card on HF 🤗: https://huggingface.co/LoneStriker/notus-7b-v1-8.0bpw-h8-exl2 

Notus 7B V1.8.0bpw H8 EXL2 Benchmarks

LLME Score: 0.10664
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Notus 7B V1.8.0bpw H8 EXL2 (LoneStriker/notus-7b-v1-8.0bpw-h8-exl2)
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Notus 7B V1.8.0bpw H8 EXL2 Parameters and Internals

Model Type 
GPT-like 7B model DPO fine-tuned
Additional Notes 
Notus is fine-tuned using Direct Preference Optimization (DPO) over the base model `zephyr-7b-sft-full`. It uses a curarily fixed version of the UltraFeedback dataset to train the model.
Supported Languages 
en (Mainly English)
Training Details 
Data Sources:
openbmb/UltraFeedback
Hardware Used:
8 x A100 40GB
Model Architecture:
GPT-like
LLM NameNotus 7B V1.8.0bpw H8 EXL2
Repository 🤗https://huggingface.co/LoneStriker/notus-7b-v1-8.0bpw-h8-exl2 
Base Model(s)  Zephyr 7B Sft Full   alignment-handbook/zephyr-7b-sft-full
Model Size7b
Required VRAM7.4 GB
Updated2026-04-02
MaintainerLoneStriker
Model Typemistral
Model Files  7.4 GB   0.0 GB
Supported Languagesen
Quantization Typeexl2
Model ArchitectureMistralForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.35.0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/notus-7b-v1-8.0bpw-h8-exl2.

Rank the Notus 7B V1.8.0bpw H8 EXL2 Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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