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Cydonia 24B V3.1 by TheDrummer

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Cydonia 24B V3.1 is an open-source language model by TheDrummer. Features: 24b LLM, VRAM: 47.3GB, Context: 128K, Instruction-Based, LLM Explorer Score: 0.19.

Base model:finetune:mistralai/... Base model:mistralai/magistral...   Instruct   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/TheDrummer/Cydonia-24B-v3.1 

Cydonia 24B V3.1 Benchmarks

LLME Score: 0.19315
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Cydonia 24B V3.1 (TheDrummer/Cydonia-24B-v3.1)
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Cydonia 24B V3.1 Parameters and Internals

LLM NameCydonia 24B V3.1
Repository 🤗https://huggingface.co/TheDrummer/Cydonia-24B-v3.1 
Base Model(s)  Magistral Small 2506   mistralai/Mistral-Small-3.1-24B-Instruct-2503   mistralai/Magistral-Small-2506   mistralai/Mistral-Small-3.1-24B-Instruct-2503
Model Size24b
Required VRAM47.3 GB
Updated2026-05-31
MaintainerTheDrummer
Model Typemistral
Instruction-BasedYes
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 Length131072
Model Max Length131072
Transformers Version4.52.4
Tokenizer ClassLlamaTokenizerFast
Padding Token<pad>
Vocabulary Size131072
Torch Data Typebfloat16

Best Alternatives to Cydonia 24B V3.1

Best Alternatives
Context / RAM
Downloads
Likes
...ral Nemo Instruct 24B Merge V11000K / 24.6 GB90
Cydonia 24B V4.3128K / 47.3 GB5057112
Neural V1 24B128K / 47.3 GB83
MS3.2 PaintedFantasy V4.1 24B128K / 47.3 GB5716
Cydonia 24B V4.1128K / 47.3 GB92376
MS3.2 PaintedFantasy V3 24B128K / 47.3 GB8035
Cydonia 24B V4.2.0128K / 47.3 GB4638
Rivermind 24B V1128K / 47.3 GB1412
Skyfall 31B V4128K / 62.9 GB8533
Cydonia 24B V4128K / 47.3 GB39539
Note: green Score (e.g. "73.2") means that the model is better than TheDrummer/Cydonia-24B-v3.1.

Rank the Cydonia 24B V3.1 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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