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Mistral Trismegistus 7B Mistral 7B Instruct V0.1 GGUF by MaziyarPanahi

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Model Card on HF 🤗: https://huggingface.co/MaziyarPanahi/Mistral-Trismegistus-7B-Mistral-7B-Instruct-v0.1-GGUF 

Mistral Trismegistus 7B Mistral 7B Instruct V0.1 GGUF Benchmarks

LLME Score: 0.13564
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral Trismegistus 7B Mistral 7B Instruct V0.1 GGUF (MaziyarPanahi/Mistral-Trismegistus-7B-Mistral-7B-Instruct-v0.1-GGUF)
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Mistral Trismegistus 7B Mistral 7B Instruct V0.1 GGUF Parameters and Internals

Model Type 
text generation
Additional Notes 
GGUF format model with multiple quantization options available for diverse deployment environments.
Supported Languages 
en (high)
Training Details 
Methodology:
distillation
Context Length:
32768
Hardware Used:
GPU acceleration
Model Architecture:
transformers
Input Output 
Input Format:
Prompt-based input
Accepted Modalities:
text
Output Format:
Text completion
Performance Tips:
Use GPU acceleration for improved performance.
LLM NameMistral Trismegistus 7B Mistral 7B Instruct V0.1 GGUF
Repository 🤗https://huggingface.co/MaziyarPanahi/Mistral-Trismegistus-7B-Mistral-7B-Instruct-v0.1-GGUF 
Model NameMistral-Trismegistus-7B-Mistral-7B-Instruct-v0.1-GGUF
Model CreatorMaziyarPanahi
Base Model(s)  MaziyarPanahi/Mistral-Trismegistus-7B-Mistral-7B-Instruct-v0.1   MaziyarPanahi/Mistral-Trismegistus-7B-Mistral-7B-Instruct-v0.1
Model Size7b
Required VRAM2.7 GB
Updated2025-09-14
MaintainerMaziyarPanahi
Model Typemistral
Instruction-BasedYes
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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Note: green Score (e.g. "73.2") means that the model is better than MaziyarPanahi/Mistral-Trismegistus-7B-Mistral-7B-Instruct-v0.1-GGUF.

Rank the Mistral Trismegistus 7B Mistral 7B Instruct V0.1 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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