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Behemoth R1 123B V2 by TheDrummer

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Behemoth R1 123B V2 is an open-source language model by TheDrummer. Features: 123b LLM, VRAM: 226.4GB, Context: 128K, Instruction-Based, LLM Explorer Score: 0.21.

Base model:finetune:mistralai/... Base model:mistralai/mistral-l...   Instruct   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/TheDrummer/Behemoth-R1-123B-v2 

Behemoth R1 123B V2 Benchmarks

LLME Score: 0.21078
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Behemoth R1 123B V2 (TheDrummer/Behemoth-R1-123B-v2)
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Behemoth R1 123B V2 Parameters and Internals

LLM NameBehemoth R1 123B V2
Repository 🤗https://huggingface.co/TheDrummer/Behemoth-R1-123B-v2 
Base Model(s)  Mistral Large Instruct 2411   mistralai/Mistral-Large-Instruct-2411
Model Size123b
Required VRAM226.4 GB
Updated2026-04-20
MaintainerTheDrummer
Model Typemistral
Instruction-BasedYes
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   4.8 GB: 47-of-51
Model ArchitectureMistralForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.55.2
Vocabulary Size32768
Torch Data Typebfloat16

Best Alternatives to Behemoth R1 123B V2

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Context / RAM
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Behemoth X 123B V2128K / 217.2 GB24330
Behemoth ReduX 123B V1128K / 217.2 GB3213
ML2 123B Magnum Diamond128K / 212.4 GB711
Gigaberg Mistral Large 123B128K / 222 GB62
Cakrawala 123B128K / 222 GB264
Behemoth 123B V2128K / 221.6 GB5210
Behemoth 123B V1128K / 221.6 GB7244
Magnum V4 123B128K / 222 GB9632
Magnum V2 123B128K / 207.6 GB5664
Lumikabra 123B V0.4128K / 216.7 GB1512
Note: green Score (e.g. "73.2") means that the model is better than TheDrummer/Behemoth-R1-123B-v2.

Rank the Behemoth R1 123B V2 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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