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Mistral Nemo Instruct 2407 Norefuse OAS by Kooten

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Mistral Nemo Instruct 2407 Norefuse OAS is an open-source language model by Kooten. Features: 12.2b LLM, VRAM: 24.5GB, Context: 1000K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.14.

  Conversational   Endpoints compatible   Instruct   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Kooten/Mistral-Nemo-Instruct-2407-norefuse-OAS 

Mistral Nemo Instruct 2407 Norefuse OAS Benchmarks

LLME Score: 0.14146
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 Norefuse OAS (Kooten/Mistral-Nemo-Instruct-2407-norefuse-OAS)
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Mistral Nemo Instruct 2407 Norefuse OAS Parameters and Internals

LLM NameMistral Nemo Instruct 2407 Norefuse OAS
Repository 🤗https://huggingface.co/Kooten/Mistral-Nemo-Instruct-2407-norefuse-OAS 
Model Size12.2b
Required VRAM24.5 GB
Updated2026-05-16
MaintainerKooten
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
Licenseapache-2.0
Context Length1024000
Model Max Length1024000
Transformers Version4.43.0.dev0
Tokenizer ClassGPT2Tokenizer
Vocabulary Size131072
Torch Data Typebfloat16

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

Rank the Mistral Nemo Instruct 2407 Norefuse OAS 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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