What are the hardware requirements for Grok Oss Cerberus 24B?

Grok Oss Cerberus 24B requires approximately 47.3 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Grok Oss Cerberus 24B and how large is it?

Grok Oss Cerberus 24B is developed by c4tdr0ut, a model with 24b 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 Grok Oss Cerberus 24B?

Grok Oss Cerberus 24B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Grok Oss Cerberus 24B by c4tdr0ut — VRAM 47.3GB, 32K context

Name: Grok Oss Cerberus 24B
Author: c4tdr0ut

Grok Oss Cerberus 24B is an open-source language model by c4tdr0ut. Features: 24b LLM, VRAM: 47.3GB, Context: 32K, License: other, Instruction-Based, LLM Explorer Score: 0.32.

Base model:finetune:mistralai/... Base model:mistralai/mistral-s... Chat Conversational Endpoints compatible Instruct Mistral Orpo Qlora Region:us Safetensors Sharded Tensorflow Uncensored

Model Card on HF 🤗: https://huggingface.co/c4tdr0ut/grok-oss-Cerberus-24B

Grok Oss Cerberus 24B Parameters and Internals

LLM Name	Grok Oss Cerberus 24B
Repository 🤗	https://huggingface.co/c4tdr0ut/grok-oss-Cerberus-24B
Base Model(s)	...istral Small 24B Instruct 2501 mistralai/Mistral-Small-24B-Instruct-2501
Model Size	24b
Required VRAM	47.3 GB
Updated	2026-11-10
Maintainer	c4tdr0ut
Model Type	mistral
Instruction-Based	Yes
Model Files	4.9 GB: 1-of-10 4.8 GB: 2-of-10 4.8 GB: 3-of-10 4.9 GB: 4-of-10 4.8 GB: 5-of-10 4.8 GB: 6-of-10 4.9 GB: 7-of-10 4.8 GB: 8-of-10 4.8 GB: 9-of-10 3.8 GB: 10-of-10
Model Architecture	MistralForCausalLM
License	other
Context Length	32768
Model Max Length	32768
Transformers Version	5.22.0
Tokenizer Class	TokenizersBackend
Padding Token	<pad>
Vocabulary Size	131072

Rank the Grok Oss Cerberus 24B 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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