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Mag Mell R1 21B by Frowning

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Mag Mell R1 21B is an open-source language model by Frowning. Features: 12b LLM, VRAM: 40.9GB, Context: 1000K, Merged, LLM Explorer Score: 0.17.

  Merged Model Base model:finetune:inflatebot... Base model:inflatebot/mn-12b-m...   Conversational   Deploy:azure   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Frowning/Mag-Mell-R1-21B 

Mag Mell R1 21B Benchmarks

LLME Score: 0.16561
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mag Mell R1 21B (Frowning/Mag-Mell-R1-21B)
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Mag Mell R1 21B Parameters and Internals

LLM NameMag Mell R1 21B
Repository 🤗https://huggingface.co/Frowning/Mag-Mell-R1-21B 
Base Model(s)  MN 12B Mag Mell R1   inflatebot/MN-12B-Mag-Mell-R1
Merged ModelYes
Model Size12b
Required VRAM40.9 GB
Updated2026-05-12
MaintainerFrowning
Model Typemistral
Model Files  4.9 GB: 1-of-9   5.0 GB: 2-of-9   4.9 GB: 3-of-9   4.9 GB: 4-of-9   4.9 GB: 5-of-9   4.9 GB: 6-of-9   4.9 GB: 7-of-9   4.9 GB: 8-of-9   1.6 GB: 9-of-9
Model ArchitectureMistralForCausalLM
Context Length1024000
Model Max Length1024000
Transformers Version4.46.2
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size131072
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Frowning/Mag-Mell-R1-21B.

Rank the Mag Mell R1 21B 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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