What are the hardware requirements for Behemoth X 123B V2.1?

Behemoth X 123B V2.1 requires approximately 222 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 V2.1 and how large is it?

Behemoth X 123B V2.1 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 V2.1?

Behemoth X 123B V2.1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Behemoth X 123B V2.1 by TheDrummer — VRAM 222GB, 128K context

Name: Behemoth X 123B V2.1
Author: TheDrummer

Behemoth X 123B V2.1 is an open-source language model by TheDrummer. Features: 123b LLM, VRAM: 222GB, Context: 128K, LLM Explorer Score: 0.2.

Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/TheDrummer/Behemoth-X-123B-v2.1

Behemoth X 123B V2.1 Parameters and Internals

LLM Name	Behemoth X 123B V2.1
Repository 🤗	https://huggingface.co/TheDrummer/Behemoth-X-123B-v2.1
Model Size	123b
Required VRAM	222 GB
Updated	2026-07-16
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 4.8 GB: 46-of-51
Model Architecture	MistralForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.57.0
Vocabulary Size	32768

Rank the Behemoth X 123B V2.1 capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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 V2.1

Best Alternatives	Context / RAM	Downloads	Likes
Behemoth X R1 123B	128K / 216.7 GB	8	2
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	126	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
Behemoth V1.2 Magnum V4 123B	128K / 216.7 GB	7	5

Note: green Score (e.g. "73.2") means that the model is better than TheDrummer/Behemoth-X-123B-v2.1.