Mistral Nemo 12B R1 V0.1 by CreitinGameplays

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Mistral Nemo 12B R1 V0.1 is an open-source language model by CreitinGameplays. Features: 12b LLM, VRAM: 24.5GB, Context: 128K, License: mit, Instruction-Based, LLM Explorer Score: 0.18.

Base model:finetune:mistralai/... Base model:mistralai/mistral-n...   Conversational Dataset:creitingameplays/magpi...   En   Endpoints compatible   Instruct   Mistral   Region:us   Safetensors   Sharded   Tensorflow

Mistral Nemo 12B R1 V0.1 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 12B R1 V0.1 Parameters and Internals

LLM NameMistral Nemo 12B R1 V0.1
Repository 🤗https://huggingface.co/CreitinGameplays/Mistral-Nemo-12B-R1-v0.1 
Base Model(s)  Mistral Nemo Instruct 2407   mistralai/Mistral-Nemo-Instruct-2407
Model Size12b
Required VRAM24.5 GB
Updated2026-05-16
MaintainerCreitinGameplays
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 Languagesen
Model ArchitectureMistralForCausalLM
Licensemit
Context Length131072
Model Max Length131072
Transformers Version4.49.0
Tokenizer ClassPreTrainedTokenizer
Padding Token</s>
Vocabulary Size131072
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than CreitinGameplays/Mistral-Nemo-12B-R1-v0.1.

Rank the Mistral Nemo 12B R1 V0.1 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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Release v20260328a