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Behemoth 123B V2.2 by TheDrummer

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Behemoth 123B V2.2 is an open-source language model by TheDrummer. Features: 123b LLM, VRAM: 226.4GB, Context: 128K, License: other, LLM Explorer Score: 0.17.

  Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/TheDrummer/Behemoth-123B-v2.2 

Behemoth 123B V2.2 Benchmarks

LLME Score: 0.17027
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Behemoth 123B V2.2 (TheDrummer/Behemoth-123B-v2.2)
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Behemoth 123B V2.2 Parameters and Internals

Model Type 
finetune
Additional Notes 
Behemoth v2.x is a finetune with system prompt support, noted for improved performance across areas as reported by testers.
Training Details 
Methodology:
Finetuned using Mistral's new system tokens
Input Output 
Input Format:
`[SYSTEM_PROMPT] <|system|>{{system_message}}[/SYSTEM_PROMPT]<|user|>{{user_message}}<|model|>{{assistant_message}}` or `<|system|>[SYSTEM_PROMPT] {{system_message}}[/SYSTEM_PROMPT]<|user|>{{user_message}}<|model|>{{assistant_message}}`
Performance Tips:
Opening system tag should always have a leading whitespace.
Release Notes 
Version:
v2.0
Notes:
Equivalent to Behemoth v1.0 (Classic)
Version:
v2.1
Notes:
Equivalent to Behemoth v1.1 (Creative Boost)
Version:
v2.2
Notes:
Improvement of Behemoth v2.1 (Creative++)
LLM NameBehemoth 123B V2.2
Repository 🤗https://huggingface.co/TheDrummer/Behemoth-123B-v2.2 
Model Size123b
Required VRAM226.4 GB
Updated2026-04-09
MaintainerTheDrummer
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   4.8 GB: 47-of-51
Model ArchitectureMistralForCausalLM
Licenseother
Context Length131072
Model Max Length131072
Transformers Version4.46.3
Vocabulary Size32768
Torch Data Typebfloat16

Best Alternatives to Behemoth 123B V2.2

Best Alternatives
Context / RAM
Downloads
Likes
Behemoth X R1 123B128K / 216.7 GB3900
Behemoth R1 123B V2128K / 226.4 GB115920
Behemoth X 123B V2128K / 217.2 GB76316
Behemoth ReduX 123B V1128K / 217.2 GB3468
ML2 123B Magnum Diamond128K / 212.4 GB1111
Gigaberg Mistral Large 123B128K / 222 GB62
Monstral 123B V2128K / 245.4 GB2943
Behemoth 123B V1.2128K / 226.4 GB3330
Behemoth 123B V2.1128K / 226.4 GB6510
Behemoth 123B V2128K / 221.6 GB5210
Note: green Score (e.g. "73.2") means that the model is better than TheDrummer/Behemoth-123B-v2.2.

Rank the Behemoth 123B V2.2 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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