What are the hardware requirements for DarkHazard V2.1 24B?

DarkHazard V2.1 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 DarkHazard V2.1 24B and how large is it?

DarkHazard V2.1 24B is developed by FlareRebellion, 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 DarkHazard V2.1 24B?

DarkHazard V2.1 24B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

DarkHazard V2.1 24B by FlareRebellion — VRAM 47.3GB, 32K context

Name: DarkHazard V2.1 24B
Author: FlareRebellion

DarkHazard V2.1 24B is an open-source language model by FlareRebellion. Features: 24b LLM, VRAM: 47.3GB, Context: 32K, Merged, LLM Explorer Score: 0.17.

Merged Model Arxiv:2403.19522 Base model:aixonlab/eurydice-2... Base model:dphn/dolphin-mistra... Base model:pocketdoc/dans-pers... Base model:readyart/broken-tut... Base model:readyart/forgotten-... Conversational Endpoints compatible Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/FlareRebellion/DarkHazard-v2.1-24b

DarkHazard V2.1 24B Parameters and Internals

LLM Name	DarkHazard V2.1 24B
Repository 🤗	https://huggingface.co/FlareRebellion/DarkHazard-v2.1-24b
Base Model(s)	...hin Mistral 24B Venice Edition PocketDoc/Dans-PersonalityEngine-V1.3.0-24b aixonlab/Eurydice-24b-v3.5 ReadyArt/Forgotten-Safeword-24B-v4.0 Broken Tutu 24B cognitivecomputations/Dolphin-Mistral-24B-Venice-Edition PocketDoc/Dans-PersonalityEngine-V1.3.0-24b aixonlab/Eurydice-24b-v3.5 ReadyArt/Forgotten-Safeword-24B-v4.0 ReadyArt/Broken-Tutu-24B
Merged Model	Yes
Model Size	24b
Required VRAM	47.3 GB
Updated	2026-06-03
Maintainer	FlareRebellion
Model Type	mistral
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
Context Length	32768
Model Max Length	32768
Transformers Version	4.51.3
Tokenizer Class	LlamaTokenizer
Padding Token	<pad>
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the DarkHazard V2.1 24B 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 DarkHazard V2.1 24B

Best Alternatives	Context / RAM	Downloads	Likes
...ral Nemo Instruct 24B Merge V1	1000K / 24.6 GB	9	0
Quantum Precog 24B	128K / 47.3 GB	376	2
Cyberdonia 24B V8	128K / 47.3 GB	383	4
...all 3.1 24B Instruct 2503 Text	128K / 47.3 GB	19	0
Spoomplesmaxx Thrasher 24B	128K / 46.9 GB	932	3
Chaotic Order 24B V3	128K / 47.3 GB	247	1
Chaotic Order V4	128K / 47.3 GB	199	0
Chaotic Harmony 24B	128K / 47.3 GB	193	0
Chaotic Order 24B V1	128K / 47.3 GB	479	0
DeepWater Pleroma 24B V1	128K / 47.3 GB	113	1

Note: green Score (e.g. "73.2") means that the model is better than FlareRebellion/DarkHazard-v2.1-24b.