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Nyxene V2 11B by beberik

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Model Card on HF 🤗: https://huggingface.co/beberik/Nyxene-v2-11B 

Nyxene V2 11B Benchmarks

ARC: 67.41 vs 96.7 (so35)-30.3%
HellaSwag: 84.54 vs 95.3 (gpt4)-11.3%
MMLU: 65.26 vs 88.3 (so35)-26.1%
TruthfulQA: 55.62 vs 59 (gpt4)-5.7%
WinoGrande: 79.56 vs 87.5 (gpt4)-9.1%
GSM8K: 54.66 vs 96.4 (so35)-43.3%
LLME Score: 0.15091
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 (beberik/Nyxene-v2-11B)
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Nyxene V2 11B Parameters and Internals

Model Type 
text-generation
Additional Notes 
This repo contains bf16 files of Nyxene-v2-11B. It feels like with the new models, 1% is no longer needed as in the previous version.
LLM NameNyxene V2 11B
Repository 🤗https://huggingface.co/beberik/Nyxene-v2-11B 
Model Size11b
Required VRAM21.5 GB
Updated2025-08-21
Maintainerbeberik
Model Typemistral
Model Files  9.9 GB: 1-of-3   9.8 GB: 2-of-3   1.8 GB: 3-of-3
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

Quantized Models of the Nyxene V2 11B

Model
Likes
Downloads
VRAM
Nyxene V2 11B GGUF374 GB
Nyxene V2 11B GPTQ296 GB
Nyxene V2 11B AWQ166 GB

Best Alternatives to Nyxene V2 11B

Best Alternatives
Context / RAM
Downloads
Likes
Starling LM 11B Alpha32K / 21.4 GB78915
...elik V2.3 Instruct MedIT Merge32K / 22.3 GB632
ConfigurableBeagle 11B32K / 21.4 GB89133
CarbonBeagle 11B Truthy32K / 21.4 GB1251510
CarbonBeagle 11B32K / 21.4 GB91389
...elik V2.3 Instruct Llama Prune32K / 15.4 GB50
MistralLite 11B32K / 21.4 GB13372
Mistral 11B Miniplatypus32K / 21.5 GB50
Mistral Evolved 11B V0.132K / 22.3 GB5833
Mistral 11B Instruct V0.132K / 42.9 GB50
Note: green Score (e.g. "73.2") means that the model is better than beberik/Nyxene-v2-11B.

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