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Behemoth V2.2 Magnum V4 123B by MidoriUnko

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Behemoth V2.2 Magnum V4 123B is an open-source language model by MidoriUnko. Features: 123b LLM, VRAM: 221.6GB, Context: 128K, Merged, LLM Explorer Score: 0.16.

  Merged Model Base model:anthracite-org/magn... Base model:thedrummer/behemoth...   Conversational   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/MidoriUnko/Behemoth-v2.2-Magnum-v4-123B 

Behemoth V2.2 Magnum V4 123B Benchmarks

LLME Score: 0.16288
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Behemoth V2.2 Magnum V4 123B (MidoriUnko/Behemoth-v2.2-Magnum-v4-123B)
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Behemoth V2.2 Magnum V4 123B Parameters and Internals

LLM NameBehemoth V2.2 Magnum V4 123B
Repository 🤗https://huggingface.co/MidoriUnko/Behemoth-v2.2-Magnum-v4-123B 
Base Model(s)  TheDrummer/Behemoth-123B-v2.2   Magnum V4 123B   TheDrummer/Behemoth-123B-v2.2   anthracite-org/magnum-v4-123b
Merged ModelYes
Model Size123b
Required VRAM221.6 GB
Updated2026-05-15
MaintainerMidoriUnko
Model Typemistral
Model Files  4.4 GB: 1-of-51   4.9 GB: 2-of-51   4.8 GB: 3-of-51   4.8 GB: 4-of-51   4.8 GB: 5-of-51   4.9 GB: 6-of-51   4.8 GB: 7-of-51   4.8 GB: 8-of-51   4.8 GB: 9-of-51   4.9 GB: 10-of-51   4.8 GB: 11-of-51   4.8 GB: 12-of-51   4.8 GB: 13-of-51   4.9 GB: 14-of-51   4.8 GB: 15-of-51   4.8 GB: 16-of-51   4.8 GB: 17-of-51   4.9 GB: 18-of-51   4.8 GB: 19-of-51   4.8 GB: 20-of-51   4.8 GB: 21-of-51   4.9 GB: 22-of-51   4.8 GB: 23-of-51   4.8 GB: 24-of-51   4.8 GB: 25-of-51   4.9 GB: 26-of-51   4.8 GB: 27-of-51   4.8 GB: 28-of-51   4.8 GB: 29-of-51   4.9 GB: 30-of-51   4.8 GB: 31-of-51   4.8 GB: 32-of-51   4.8 GB: 33-of-51   4.9 GB: 34-of-51   4.8 GB: 35-of-51   4.8 GB: 36-of-51   4.8 GB: 37-of-51   4.9 GB: 38-of-51   4.8 GB: 39-of-51   4.8 GB: 40-of-51   4.8 GB: 41-of-51   4.9 GB: 42-of-51   4.8 GB: 43-of-51   4.8 GB: 44-of-51   4.8 GB: 45-of-51   4.9 GB: 46-of-51
Model ArchitectureMistralForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.46.3
Vocabulary Size32768
Torch Data Typefloat16

Best Alternatives to Behemoth V2.2 Magnum V4 123B

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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
Monstral 123B V2128K / 245.4 GB11744
Behemoth 123B V1.2128K / 226.4 GB830
Note: green Score (e.g. "73.2") means that the model is better than MidoriUnko/Behemoth-v2.2-Magnum-v4-123B.

Rank the Behemoth V2.2 Magnum V4 123B 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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