MMR E1 by Nitral-AI

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MMR E1 is an open-source language model by Nitral-AI. Features: 12.2b LLM, VRAM: 24.5GB, Context: 1000K, LLM Explorer Score: 0.19.

  Mistral   Region:us   Safetensors   Sharded   Tensorflow

MMR E1 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

MMR E1 Parameters and Internals

LLM NameMMR E1
Repository 🤗https://huggingface.co/Nitral-Archive/MMR-E1 
Model Size12.2b
Required VRAM24.5 GB
Updated2026-04-18
MaintainerNitral-AI
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 Typefloat16

Best Alternatives to MMR E1

Best Alternatives
Context / RAM
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...aptain Eris Violet GRPO V0.4201000K / 24.5 GB2624
...istral Nemo Instruct 2407 MPOA1000K / 24.5 GB262
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Violet Twilight V0.21000K / 24.5 GB18246
Mistral Nemo Kurdish1000K / 24.5 GB83
Tess Embed Fix Maybe1000K / 24.5 GB130
Funny Nemo Embedding Testing1000K / 24.5 GB61
12BTRU1000K / 24.5 GB210
A Strange Nemo Model1000K / 24.5 GB90
Another Strange Nemo Model1000K / 24.5 GB70
Note: green Score (e.g. "73.2") means that the model is better than Nitral-Archive/MMR-E1.

Rank the MMR E1 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