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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: 0.17464
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
Updated2024-12-22
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 GB203482068
Qwen2 7B Instruct GGUF0K / 1.9 GB197157110
WizardLM 2 7B GGUF0K / 2.7 GB199723174
Qwen UMLS 7B Instruct GGUF0K / 4.7 GB9918
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Conversely Mistral 7B0K / 0.2 GB2950
Neumind Math 7B Instruct GGUF0K / 4.7 GB1587
Mistral 7B Instruct V0.2 GGUF0K / 3.1 GB130530407
Mistral 7B Instruct V0.3 GGUF0K / 2.7 GB624158
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 v20241217
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