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Nyxene V3 11B by beberik

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Nyxene V3 11B is an open-source language model by beberik. Features: 11b LLM, VRAM: 21.5GB, Context: 32K, License: cc-by-nc-4.0, HF Score: 70.7, LLM Explorer Score: 0.13, Arc: 69.6, HellaSwag: 85.3, MMLU: 64.8, TruthfulQA: 60.9, WinoGrande: 80.2, GSM8K: 63.5.

  Autotrain compatible   Endpoints compatible   Merge   Mistral   Model-index   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/beberik/Nyxene-v3-11B 

Nyxene V3 11B Benchmarks

ARC: 69.62 vs 96.7 (so35)-28%
HellaSwag: 85.33 vs 95.3 (gpt4)-10.5%
MMLU: 64.75 vs 88.3 (so35)-26.7%
TruthfulQA: 60.91 vs 59 (gpt4)3.2%
WinoGrande: 80.19 vs 87.5 (gpt4)-8.4%
GSM8K: 63.53 vs 96.4 (so35)-34.1%
LLME Score: 0.12894
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Nyxene V3 11B (beberik/Nyxene-v3-11B)
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Nyxene V3 11B Parameters and Internals

Model Type 
text-generation
Additional Notes 
This model is a merge version with specific structures and techniques applied as per the provided configuration and prompt template norms.
LLM NameNyxene V3 11B
Repository 🤗https://huggingface.co/beberik/Nyxene-v3-11B 
Model Size11b
Required VRAM21.5 GB
Updated2025-10-01
Maintainerbeberik
Model Typemistral
Model Files  10.0 GB: 1-of-3   10.0 GB: 2-of-3   1.5 GB: 3-of-3
Model ArchitectureMistralForCausalLM
Licensecc-by-nc-4.0
Context Length32768
Model Max Length32768
Transformers Version4.35.0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

Quantized Models of the Nyxene V3 11B

Model
Likes
Downloads
VRAM
Nyxene V3 11B GGUF7784 GB
Nyxene V3 11B GPTQ246 GB
Nyxene V3 11B AWQ116 GB

Best Alternatives to Nyxene V3 11B

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Starling LM 11B Alpha32K / 21.4 GB72115
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CarbonBeagle 11B32K / 21.4 GB78639
...elik V2.3 Instruct Llama Prune32K / 15.4 GB50
MistralLite 11B32K / 21.4 GB13372
Mistral 11B Instruct V0.132K / 42.9 GB850
Mistral Evolved 11B V0.132K / 22.3 GB5833
Mistral 11B Miniplatypus32K / 21.5 GB60
Note: green Score (e.g. "73.2") means that the model is better than beberik/Nyxene-v3-11B.

Rank the Nyxene V3 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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