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Nyxene V2 11B 3.0bpw H6 EXL2 by LoneStriker

 »  All LLMs  »  LoneStriker  »  Nyxene V2 11B 3.0bpw H6 EXL2   URL Share it on

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  Autotrain compatible   Endpoints compatible   Exl2   Mistral   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/LoneStriker/Nyxene-v2-11B-3.0bpw-h6-exl2 

Nyxene V2 11B 3.0bpw H6 EXL2 Benchmarks

LLME Score: 0.12718
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 3.0bpw H6 EXL2 (LoneStriker/Nyxene-v2-11B-3.0bpw-h6-exl2)
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Nyxene V2 11B 3.0bpw H6 EXL2 Parameters and Internals

Model Type 
text generation
Additional Notes 
This model is a blend of various other models, using mergekit for manipulation.
Input Output 
Input Format:
<|system|> Below is an instruction that describes a task. Write a response that appropriately completes the request. <|user|> {prompt} <|assistant|>
Accepted Modalities:
text
Output Format:
Text response
LLM NameNyxene V2 11B 3.0bpw H6 EXL2
Repository 🤗https://huggingface.co/LoneStriker/Nyxene-v2-11B-3.0bpw-h6-exl2 
Model Size11b
Required VRAM4.3 GB
Updated2025-08-20
MaintainerLoneStriker
Model Typemistral
Model Files  4.3 GB
Quantization Typeexl2
Model ArchitectureMistralForCausalLM
Licensecc-by-nc-4.0
Context Length32768
Model Max Length32768
Transformers Version4.35.0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/Nyxene-v2-11B-3.0bpw-h6-exl2.

Rank the Nyxene V2 11B 3.0bpw H6 EXL2 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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