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Monstral 123B V2 by MarsupialAI

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Monstral 123B V2 is an open-source language model by MarsupialAI. Features: 123b LLM, VRAM: 245.4GB, Context: 128K, License: other, Merged, LLM Explorer Score: 0.17.

  Merged Model   Chat   Conversational   En   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/MarsupialAI/Monstral-123B-v2 

Monstral 123B V2 Benchmarks

LLME Score: 0.16945
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Monstral 123B V2 (MarsupialAI/Monstral-123B-v2)
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Monstral 123B V2 Parameters and Internals

LLM NameMonstral 123B V2
Repository 🤗https://huggingface.co/MarsupialAI/Monstral-123B-v2 
Merged ModelYes
Model Size123b
Required VRAM245.4 GB
Updated2026-05-05
MaintainerMarsupialAI
Model Typemistral
Model Files  15.5 GB: 1-of-16   16.0 GB: 2-of-16   15.9 GB: 3-of-16   15.9 GB: 4-of-16   15.9 GB: 5-of-16   16.0 GB: 6-of-16   15.9 GB: 7-of-16   15.9 GB: 8-of-16   15.9 GB: 9-of-16   16.0 GB: 10-of-16   15.9 GB: 11-of-16   15.9 GB: 12-of-16   15.9 GB: 13-of-16   16.0 GB: 14-of-16   15.9 GB: 15-of-16   6.9 GB: 16-of-16
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseother
Context Length131072
Model Max Length131072
Transformers Version4.46.1
Tokenizer ClassLlamaTokenizer
Vocabulary Size32768
Torch Data Typefloat16

Best Alternatives to Monstral 123B V2

Best Alternatives
Context / RAM
Downloads
Likes
Behemoth X R1 123B128K / 216.7 GB3900
Behemoth X 123B V2128K / 217.2 GB24330
Behemoth X 123B V2.1128K / 222 GB177
Behemoth ReduX 123B V1128K / 217.2 GB3213
Behemoth R1 123B V2128K / 226.4 GB3227
ML2 123B Magnum Diamond128K / 212.4 GB711
Behemoth 123B V2.1128K / 226.4 GB246717
Gigaberg Mistral Large 123B128K / 222 GB62
Behemoth 123B V1.2128K / 226.4 GB830
Behemoth 123B V2.2128K / 226.4 GB2527
Note: green Score (e.g. "73.2") means that the model is better than MarsupialAI/Monstral-123B-v2.

Rank the Monstral 123B V2 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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