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Theia 21B V2 by TheDrummer

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Theia 21B V2 is an open-source language model by TheDrummer. Features: 21b LLM, VRAM: 40.8GB, Context: 1000K, License: other, LLM Explorer Score: 0.15.

  Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/TheDrummer/Theia-21B-v2 

Theia 21B V2 Benchmarks

LLME Score: 0.14933
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Theia 21B V2 (TheDrummer/Theia-21B-v2)
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Theia 21B V2 Parameters and Internals

Model Type 
text generation
Use Cases 
Applications:
RP, Storytelling
Additional Notes 
Finetune of Steelskull's NeMoria 21B model with a focus on creative output. It includes features for text completion and instruct-guided storytelling using various formats such as Alpaca and Mistral.
Training Details 
Methodology:
completion, RP, and instruct training
LLM NameTheia 21B V2
Repository 🤗https://huggingface.co/TheDrummer/Theia-21B-v2 
Model Size21b
Required VRAM40.8 GB
Updated2026-05-19
MaintainerTheDrummer
Model Typemistral
Model Files  4.9 GB: 1-of-9   4.9 GB: 2-of-9   4.9 GB: 3-of-9   4.9 GB: 4-of-9   4.9 GB: 5-of-9   4.9 GB: 6-of-9   4.9 GB: 7-of-9   4.9 GB: 8-of-9   1.6 GB: 9-of-9   0.0 GB
Model ArchitectureMistralForCausalLM
Licenseother
Context Length1024000
Model Max Length1024000
Transformers Version4.44.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<pad>
Vocabulary Size131074
Torch Data Typebfloat16

Best Alternatives to Theia 21B V2

Best Alternatives
Context / RAM
Downloads
Likes
Moist Theia 21B1000K / 40.8 GB71
Theia 21B V11000K / 40.8 GB1530
Blendy0011000K / 40.8 GB70
Theia 21B V1 Pretrained1000K / 40.8 GB80
NeMoist 21B V0.51000K / 40.8 GB1170
NeMoria 21B1000K / 40.9 GB3212
NeMoist 21B V1a1000K / 40.8 GB32
NeMoria 21B1000K / 40.9 GB1312
Codestral 21B Pruned32K / 43.1 GB62
Note: green Score (e.g. "73.2") means that the model is better than TheDrummer/Theia-21B-v2.

Rank the Theia 21B V2 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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