Mistral Nemo Instruct 2407 Orpo Ver 1.0 by spow12

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Mistral Nemo Instruct 2407 Orpo Ver 1.0 is an open-source language model by spow12. Features: 12.2b LLM, VRAM: 24.5GB, Context: 1000K, Instruction-Based, Merged, LLM Explorer Score: 0.15.

  Merged Model   Arxiv:1910.09700   Conversational   Deploy:azure   Endpoints compatible   Instruct   Mistral   Region:us   Safetensors   Sharded   Tensorflow

Mistral Nemo Instruct 2407 Orpo Ver 1.0 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral Nemo Instruct 2407 Orpo Ver 1.0 (spow12/Mistral-Nemo-Instruct-2407_orpo_ver_1.0)
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Mistral Nemo Instruct 2407 Orpo Ver 1.0 Parameters and Internals

LLM NameMistral Nemo Instruct 2407 Orpo Ver 1.0
Repository ๐Ÿค—https://huggingface.co/spow12/Mistral-Nemo-Instruct-2407_orpo_ver_1.0 
Merged ModelYes
Model Size12.2b
Required VRAM24.5 GB
Updated2026-04-10
Maintainerspow12
Model Typemistral
Instruction-BasedYes
Model Files  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
Model ArchitectureMistralForCausalLM
Context Length1024000
Model Max Length1024000
Transformers Version4.43.3
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<pad>
Vocabulary Size131072
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than spow12/Mistral-Nemo-Instruct-2407_orpo_ver_1.0.

Rank the Mistral Nemo Instruct 2407 Orpo Ver 1.0 Capabilities

๐Ÿ†˜ Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! ๐ŸŒŸ

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 v20260328a