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DarkHazard V2.1 24B by FlareRebellion

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DarkHazard V2.1 24B is an open-source language model by FlareRebellion. Features: 24b LLM, VRAM: 47.3GB, Context: 32K, Merged, LLM Explorer Score: 0.19.

  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 Benchmarks

LLME Score: 0.19461
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
DarkHazard V2.1 24B (FlareRebellion/DarkHazard-v2.1-24b)
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DarkHazard V2.1 24B Parameters and Internals

LLM NameDarkHazard 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 ModelYes
Model Size24b
Required VRAM47.3 GB
Updated2026-04-27
MaintainerFlareRebellion
Model Typemistral
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 ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.51.3
Tokenizer ClassLlamaTokenizer
Padding Token<pad>
Vocabulary Size131072
Torch Data Typebfloat16

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

Rank the DarkHazard V2.1 24B 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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