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Athena V3 AWQ by TheBloke

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Athena V3 AWQ is an open-source language model by TheBloke. Features: 13b LLM, VRAM: 7.2GB, Context: 4K, License: cc-by-nc-4.0, Quantized, LLM Explorer Score: 0.1.

  4-bit   Awq   Base model:ikaridev/athena-v3 Base model:quantized:ikaridev/...   Llama   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/Athena-v3-AWQ 

Athena V3 AWQ Benchmarks

LLME Score: 0.09659
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Athena V3 AWQ (TheBloke/Athena-v3-AWQ)
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Athena V3 AWQ Parameters and Internals

Model Type 
llama
Additional Notes 
The model uses AWQ, an efficient quantization method for faster and lower memory usage during Transformers-based inference. It supports 4-bit quantization.
Input Output 
Input Format:
Below is an instruction that describes a task. Write a response that appropriately completes the request. ### Instruction: {prompt} ### Response:
LLM NameAthena V3 AWQ
Repository 🤗https://huggingface.co/TheBloke/Athena-v3-AWQ 
Model NameAthena V3
Model CreatorIkariDev and Undi95
Base Model(s)  Athena V3   IkariDev/Athena-v3
Model Size13b
Required VRAM7.2 GB
Updated2026-03-24
MaintainerTheBloke
Model Typellama
Model Files  7.2 GB
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licensecc-by-nc-4.0
Context Length4096
Model Max Length4096
Transformers Version4.33.2
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

Best Alternatives to Athena V3 AWQ

Best Alternatives
Context / RAM
Downloads
Likes
Yarn Llama 2 13B 128K AWQ128K / 7.2 GB72
LongAlign 13B 64K AWQ64K / 7.2 GB32
...oboros L2 13B 2 1 YaRN 64K AWQ64K / 7.2 GB372
OrcaMaid V3 13B 32K AWQ32K / 7.2 GB114
OrcaMaid V2 FIX 13B 32K AWQ32K / 7.2 GB51
NexusRaven V2 13B AWQ16K / 7.2 GB113
NexusRaven V2 13B AWQ16K / 7.2 GB23
WhiteRabbitNeo 13B AWQ16K / 7.2 GB41054
...th CodeLlama 13B Python Hf AWQ16K / 7.5 GB60
NexusRaven V2 13B AWQ16K / 7.2 GB191
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Athena-v3-AWQ.

Rank the Athena V3 AWQ 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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