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Mistralai Mistral Nemo Instruct 2407 by SillyTilly

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Model Card on HF 🤗: https://huggingface.co/SillyTilly/mistralai_Mistral-Nemo-Instruct-2407 

Mistralai Mistral Nemo Instruct 2407 Benchmarks

LLME Score: 0.16706
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistralai Mistral Nemo Instruct 2407 (SillyTilly/mistralai_Mistral-Nemo-Instruct-2407)
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Mistralai Mistral Nemo Instruct 2407 Parameters and Internals

Model Type 
instruction-tuned, LLM
Use Cases 
Areas:
Research, Commercial Applications
Considerations:
Lacks moderation mechanisms.
Additional Notes 
The model serves as a demonstration of fine-tuning capabilities, aiming to achieve high performance without integrated moderation mechanisms.
Supported Languages 
en (Supported), fr (Supported), de (Supported), es (Supported), it (Supported), pt (Supported), ru (Supported), zh (Supported), ja (Supported)
Training Details 
Methodology:
Instruct fine-tuned
Context Length:
128000
Model Architecture:
Transformer
Responsible Ai Considerations 
Mitigation Strategies:
Currently lacks moderation mechanisms.
LLM NameMistralai Mistral Nemo Instruct 2407
Repository 🤗https://huggingface.co/SillyTilly/mistralai_Mistral-Nemo-Instruct-2407 
Model Size12.2b
Required VRAM24.5 GB
Updated2025-10-06
MaintainerSillyTilly
Instruction-BasedYes
Model Files  24.5 GB   4.9 GB: 1-of-5   4.9 GB: 2-of-5   4.9 GB: 3-of-5   4.9 GB: 4-of-5   4.9 GB: 5-of-5
Supported Languagesen fr de es it pt ru zh ja
Model ArchitectureAutoModelForCausalLM
Licenseapache-2.0
Tokenizer ClassGPT2Tokenizer
Vocabulary Size131072

Rank the Mistralai Mistral Nemo Instruct 2407 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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