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Mistral Nemo Japanese Instruct 2408 by cyberagent

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Mistral Nemo Japanese Instruct 2408 is an open-source language model by cyberagent. Features: 12.2b LLM, VRAM: 24.5GB, Context: 1000K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.16.

Base model:finetune:mistralai/... Base model:mistralai/mistral-n...   Conversational   En   Instruct   Ja   Japanese   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/cyberagent/Mistral-Nemo-Japanese-Instruct-2408 

Mistral Nemo Japanese Instruct 2408 Benchmarks

LLME Score: 0.16087
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral Nemo Japanese Instruct 2408 (cyberagent/Mistral-Nemo-Japanese-Instruct-2408)
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Mistral Nemo Japanese Instruct 2408 Parameters and Internals

Model Type 
text generation
Supported Languages 
Japanese (Native), English (Secondary)
Input Output 
Input Format:
Chat
Accepted Modalities:
text
Output Format:
text
LLM NameMistral Nemo Japanese Instruct 2408
Repository 🤗https://huggingface.co/cyberagent/Mistral-Nemo-Japanese-Instruct-2408 
Base Model(s)  Mistral Nemo Base 2407   mistralai/Mistral-Nemo-Base-2407
Model Size12.2b
Required VRAM24.5 GB
Updated2026-03-29
Maintainercyberagent
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
Supported Languagesja en
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length1024000
Model Max Length1024000
Transformers Version4.44.0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<pad>
Vocabulary Size131074
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than cyberagent/Mistral-Nemo-Japanese-Instruct-2408.

Rank the Mistral Nemo Japanese Instruct 2408 Capabilities

🆘 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! 🌟

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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