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Aurora Nights 103B V1.0 AWQ by TheBloke

 »  All LLMs  »  TheBloke  »  Aurora Nights 103B 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-103B-v1.0-AWQ 

Aurora Nights 103B V1.0 AWQ Benchmarks

LLME Score: 0.14338
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Aurora Nights 103B V1.0 AWQ (TheBloke/Aurora-Nights-103B-v1.0-AWQ)

Aurora Nights 103B V1.0 AWQ Parameters and Internals

Model Type 
llama
Use Cases 
Primary Use Cases:
roleplaying, storytelling
Input Output 
Input Format:
{system_message} <|user|> {prompt} <|assistant|>
Accepted Modalities:
text
Output Format:
text
Performance Tips:
The model responds to prompting and performs better with the new Min-P sampler method, high temperatures with Min-P, and a frequency penalty set to 0.01.
LLM NameAurora Nights 103B V1.0 AWQ
Repository 🤗https://huggingface.co/TheBloke/Aurora-Nights-103B-v1.0-AWQ 
Model NameAurora Nights 103B v1.0
Model CreatorSophosympatheia
Base Model(s)  sophosympatheia/Aurora-Nights-103B-v1.0   sophosympatheia/Aurora-Nights-103B-v1.0
Model Size103b
Required VRAM54.4 GB
Updated2025-05-09
MaintainerTheBloke
Model Typellama
Model Files  9.9 GB: 1-of-6   9.9 GB: 2-of-6   9.9 GB: 3-of-6   10.0 GB: 4-of-6   9.9 GB: 5-of-6   4.8 GB: 6-of-6
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-103B-v1.0-AWQ.

Rank the Aurora Nights 103B V1.0 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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Release v20241227
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