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Aurora Nights 70B V1.0 AWQ by TheBloke

 »  All LLMs  »  TheBloke  »  Aurora Nights 70B V1.0 AWQ   URL Share it on

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  Arxiv:2307.11760   4-bit   Autotrain compatible   Awq Base model:quantized:sophosymp... Base model:sophosympatheia/aur...   En   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/TheBloke/Aurora-Nights-70B-v1.0-AWQ 

Aurora Nights 70B V1.0 AWQ Benchmarks

LLME Score: 0.12928
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Aurora Nights 70B V1.0 AWQ (TheBloke/Aurora-Nights-70B-v1.0-AWQ)
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Aurora Nights 70B V1.0 AWQ Parameters and Internals

Model Type 
llama
Additional Notes 
This model is good at both following instructions and producing creative, uncensored storytelling and roleplaying content. It turned out quite uncensored, which means users are responsible for their actions with it. Additionally, the model was specifically designed for roleplaying and storytelling and performs well at both tasks. However, its capabilities have not been tested in other areas.
Supported Languages 
en (English)
LLM NameAurora Nights 70B V1.0 AWQ
Repository 🤗https://huggingface.co/TheBloke/Aurora-Nights-70B-v1.0-AWQ 
Model NameAurora Nights 70B v1.0
Model CreatorSophosympatheia
Base Model(s)  sophosympatheia/Aurora-Nights-70B-v1.0   sophosympatheia/Aurora-Nights-70B-v1.0
Model Size70b
Required VRAM36.6 GB
Updated2025-09-23
MaintainerTheBloke
Model Typellama
Model Files  9.9 GB: 1-of-4   9.9 GB: 2-of-4   9.9 GB: 3-of-4   6.9 GB: 4-of-4
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Aurora-Nights-70B-v1.0-AWQ.

Rank the Aurora Nights 70B V1.0 AWQ Capabilities

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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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Release v20241124
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