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Nyxene V2 11B AWQ by TheBloke

 »  All LLMs  »  TheBloke  »  Nyxene V2 11B AWQ   URL Share it on

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  4-bit   Autotrain compatible   Awq Base model:beberik/nyxene-v2-1... Base model:quantized:beberik/n...   Mistral   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/Nyxene-v2-11B-AWQ 

Nyxene V2 11B AWQ Benchmarks

LLME Score: 0.12697
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Nyxene V2 11B AWQ (TheBloke/Nyxene-v2-11B-AWQ)
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Nyxene V2 11B AWQ Parameters and Internals

Model Type 
mistral
Input Output 
Input Format:
<|system|> Below is an instruction that describes a task. Write a response that appropriately completes the request. <|user|> {prompt} <|assistant|>
LLM NameNyxene V2 11B AWQ
Repository 🤗https://huggingface.co/TheBloke/Nyxene-v2-11B-AWQ 
Model NameNyxene v2 11B
Model CreatorBebebe
Base Model(s)  Nyxene V2 11B   beberik/Nyxene-v2-11B
Model Size11b
Required VRAM6 GB
Updated2025-08-23
MaintainerTheBloke
Model Typemistral
Model Files  6.0 GB
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMistralForCausalLM
Licensecc-by-nc-4.0
Context Length32768
Model Max Length32768
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16

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Bielik 11B V2.2 Instruct W8A832K / 11.5 GB123
Nyxene V2 11B 3.0bpw H6 EXL232K / 4.3 GB50
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Nyxene-v2-11B-AWQ.

Rank the Nyxene V2 11B 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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