MMRExCEV GRPO V0.420 by Nitral-Archive

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MMRExCEV GRPO V0.420 is an open-source language model by Nitral-Archive. Features: 12.2b LLM, VRAM: 24.5GB, Context: 1000K, Merged, LLM Explorer Score: 0.19.

  Merged Model Base model:nitral-ai/captain-e... Base model:nitral-archive/mmr-...   Conversational   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow

MMRExCEV GRPO V0.420 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MMRExCEV GRPO V0.420 (Nitral-Archive/MMRExCEV-GRPO-v0.420)
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MMRExCEV GRPO V0.420 Parameters and Internals

LLM NameMMRExCEV GRPO V0.420
Repository ๐Ÿค—https://huggingface.co/Nitral-Archive/MMRExCEV-GRPO-v0.420 
Base Model(s)  Nitral-AI/Captain-Eris_Violet-GRPO-v0.420   MMR E1   Nitral-AI/Captain-Eris_Violet-GRPO-v0.420   Nitral-AI/MMR-E1
Merged ModelYes
Model Size12.2b
Required VRAM24.5 GB
Updated2026-02-06
MaintainerNitral-Archive
Model Typemistral
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 Version4.51.1
Tokenizer ClassPreTrainedTokenizer
Padding Token<pad>
Vocabulary Size131072
Torch Data Typebfloat16

Best Alternatives to MMRExCEV GRPO V0.420

Best Alternatives
Context / RAM
Downloads
Likes
...aptain Eris Violet GRPO V0.4201000K / 24.5 GB19524
...ish Mistral Nemo Instruct 24071000K / 24.5 GB772
Violet Twilight V0.21000K / 24.5 GB15944
Mistral Nemo Kurdish1000K / 24.5 GB143
Tess Embed Fix Maybe1000K / 24.5 GB130
Funny Nemo Embedding Testing1000K / 24.5 GB81
12BTRU1000K / 24.5 GB210
A Strange Nemo Model1000K / 24.5 GB90
Another Strange Nemo Model1000K / 24.5 GB70
Kalypso1000K / 24.5 GB419
Note: green Score (e.g. "73.2") means that the model is better than Nitral-Archive/MMRExCEV-GRPO-v0.420.

Rank the MMRExCEV GRPO V0.420 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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Release v20260328a