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Athena V3 GGUF by TheBloke

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Athena V3 GGUF is an open-source language model by TheBloke. Features: LLM, VRAM: 5.4GB, License: cc-by-nc-4.0, Quantized, LLM Explorer Score: 0.1.

  Base model:ikaridev/athena-v3 Base model:quantized:ikaridev/...   Gguf   Llama   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/TheBloke/Athena-v3-GGUF 

Athena V3 GGUF Benchmarks

LLME Score: 0.0984
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Athena V3 GGUF (TheBloke/Athena-v3-GGUF)
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Athena V3 GGUF Parameters and Internals

Model Type 
llama
Additional Notes 
The model has multiple quantization options using GGUF format for varying balance between size and quality loss.
Input Output 
Input Format:
Alpaca prompt template
LLM NameAthena V3 GGUF
Repository 🤗https://huggingface.co/TheBloke/Athena-v3-GGUF 
Model NameAthena V3
Model CreatorIkariDev and Undi95
Base Model(s)  Athena V3   IkariDev/Athena-v3
Required VRAM5.4 GB
Updated2026-03-21
MaintainerTheBloke
Model Typellama
Model Files  5.4 GB   6.9 GB   6.3 GB   5.7 GB   7.4 GB   7.9 GB   7.4 GB   9.0 GB   9.2 GB   9.0 GB   10.7 GB   13.8 GB
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licensecc-by-nc-4.0

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Athena-v3-GGUF.

Rank the Athena V3 GGUF 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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