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Behemoth V2.2 Magnum V4 123B by MidoriUnko

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  Merged Model   Autotrain compatible 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: 0.22898
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)

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
Updated2025-03-13
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

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Note: green Score (e.g. "73.2") means that the model is better than MidoriUnko/Behemoth-v2.2-Magnum-v4-123B.

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