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Notus 7B V1 GGUF by MaziyarPanahi

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Model Card on HF 🤗: https://huggingface.co/MaziyarPanahi/notus-7b-v1-GGUF 

Notus 7B V1 GGUF Benchmarks

LLME Score: 0.14944
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 (MaziyarPanahi/notus-7b-v1-GGUF)

Notus 7B V1 GGUF Parameters and Internals

Model Type 
text-generation
Additional Notes 
The model is a quantized implementation using the GGUF format, which is an advancement over the previous GGML format and supports various quantizations such as 2-bit to 8-bit.
LLM NameNotus 7B V1 GGUF
Repository 🤗https://huggingface.co/MaziyarPanahi/notus-7b-v1-GGUF 
Model Namenotus-7b-v1-GGUF
Model Creatorargilla
Base Model(s)  Notus 7B V1   argilla/notus-7b-v1
Model Size7b
Required VRAM2.7 GB
Updated2025-06-03
MaintainerMaziyarPanahi
Model Typemistral
Model Files  2.7 GB   3.8 GB   3.5 GB   3.2 GB   4.4 GB   4.1 GB   5.1 GB   5.0 GB   5.9 GB   7.7 GB
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licenseapache-2.0

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Mistral 7B Instruct V0.3 GGUF0K / 1.6 GB28062399
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Conversely Mistral 7B0K / 0.2 GB280
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CleverBoi 7B V20K / 0.1 GB470
...hemeng Qwen Math 7b 24 1 100 10K / 15.2 GB150
Qwen2 7B Instruct V0.6 GGUF0K / 4.5 GB135220
Mistral 7B Instruct V0.3 GGUF0K / 2.7 GB228389
Note: green Score (e.g. "73.2") means that the model is better than MaziyarPanahi/notus-7b-v1-GGUF.

Rank the Notus 7B V1 GGUF 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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Release v20241227
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