What are the hardware requirements for Behemoth X 123B V2.2?

Behemoth X 123B V2.2 requires approximately 217.2 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Behemoth X 123B V2.2 and how large is it?

Behemoth X 123B V2.2 is developed by TheDrummer, a model with 123b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Behemoth X 123B V2.2?

Behemoth X 123B V2.2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Behemoth X 123B V2.2 by TheDrummer — VRAM 217.2GB, 128K context

Name: Behemoth X 123B V2.2
Author: TheDrummer

Behemoth X 123B V2.2 is an open-source language model by TheDrummer. Features: 123b LLM, VRAM: 217.2GB, Context: 128K, LLM Explorer Score: 0.31.

Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/TheDrummer/Behemoth-X-123B-v2.2

Behemoth X 123B V2.2 Parameters and Internals

LLM Name	Behemoth X 123B V2.2
Repository 🤗	https://huggingface.co/TheDrummer/Behemoth-X-123B-v2.2
Model Size	123b
Required VRAM	217.2 GB
Updated	2026-10-10
Maintainer	TheDrummer
Model Type	mistral
Model Files	4.9 GB: 1-of-51 4.8 GB: 2-of-51 4.9 GB: 3-of-51 4.8 GB: 4-of-51 4.8 GB: 5-of-51 4.8 GB: 6-of-51 4.9 GB: 7-of-51 4.8 GB: 8-of-51 4.8 GB: 9-of-51 4.8 GB: 10-of-51 4.9 GB: 11-of-51 4.8 GB: 12-of-51 4.8 GB: 13-of-51 4.8 GB: 14-of-51 4.9 GB: 15-of-51 4.8 GB: 16-of-51 4.8 GB: 17-of-51 4.8 GB: 18-of-51 4.9 GB: 19-of-51 4.8 GB: 20-of-51 4.8 GB: 21-of-51 4.8 GB: 22-of-51 4.9 GB: 23-of-51 4.8 GB: 24-of-51 4.8 GB: 25-of-51 4.8 GB: 26-of-51 4.9 GB: 27-of-51 4.8 GB: 28-of-51 4.8 GB: 29-of-51 4.8 GB: 30-of-51 4.9 GB: 31-of-51 4.8 GB: 32-of-51 4.8 GB: 33-of-51 4.8 GB: 34-of-51 4.9 GB: 35-of-51 4.8 GB: 36-of-51 4.8 GB: 37-of-51 4.8 GB: 38-of-51 4.9 GB: 39-of-51 4.8 GB: 40-of-51 4.8 GB: 41-of-51 4.8 GB: 42-of-51 4.9 GB: 43-of-51 4.8 GB: 44-of-51 4.8 GB: 45-of-51
Model Architecture	MistralForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.46.2
Vocabulary Size	32768

Rank the Behemoth X 123B V2.2 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

Best Alternatives to Behemoth X 123B V2.2

Best Alternatives	Context / RAM	Downloads	Likes
Behemoth X R1 123B	128K / 216.7 GB	8	2
Behemoth X 123B V2.1	128K / 222 GB	15	7
Behemoth ReduX 123B V1	128K / 217.2 GB	70	14
Behemoth X 123B V2	128K / 217.2 GB	47	32
Behemoth R1 123B V2	128K / 226.4 GB	12	29
ML2 123B Magnum Diamond	128K / 212.4 GB	91	13
Gigaberg Mistral Large 123B	128K / 222 GB	6	2
Monstral 123B V2	128K / 245.4 GB	107	48
Behemoth 123B V1.2	128K / 226.4 GB	6	30
Behemoth 123B V2.2	128K / 226.4 GB	7	27