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KunouSky 32B by Sorawiz

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KunouSky 32B is an open-source language model by Sorawiz. Features: 32b LLM, VRAM: 131.4GB, Context: 32K, Merged, LLM Explorer Score: 0.17.

  Merged Model   Arxiv:2306.01708 Base model:novasky-ai/sky-t1-3... Base model:pipihand01/qwq-32b-... Base model:sao10k/32b-qwen2.5-...   Conversational   Endpoints compatible   Lora   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Sorawiz/KunouSky-32B 

KunouSky 32B Benchmarks

LLME Score: 0.17039
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
KunouSky 32B (Sorawiz/KunouSky-32B)
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KunouSky 32B Parameters and Internals

LLM NameKunouSky 32B
Repository 🤗https://huggingface.co/Sorawiz/KunouSky-32B 
Base Model(s)  Sao10K/32B-Qwen2.5-Kunou-v1   Sky T1 32B Preview   pipihand01/QwQ-32B-Preview-abliterated-lora-rank32   Sao10K/32B-Qwen2.5-Kunou-v1   NovaSky-AI/Sky-T1-32B-Preview   pipihand01/QwQ-32B-Preview-abliterated-lora-rank32
Merged ModelYes
Model Size32b
Required VRAM131.4 GB
Updated2026-05-15
MaintainerSorawiz
Model Typeqwen2
Model Files  3.1 GB: 1-of-29   4.9 GB: 2-of-29   4.6 GB: 3-of-29   4.5 GB: 4-of-29   4.7 GB: 5-of-29   4.5 GB: 6-of-29   4.5 GB: 7-of-29   4.7 GB: 8-of-29   4.5 GB: 9-of-29   4.5 GB: 10-of-29   4.7 GB: 11-of-29   4.5 GB: 12-of-29   4.5 GB: 13-of-29   4.7 GB: 14-of-29   4.5 GB: 15-of-29   4.5 GB: 16-of-29   4.7 GB: 17-of-29   4.5 GB: 18-of-29   4.5 GB: 19-of-29   4.7 GB: 20-of-29   4.5 GB: 21-of-29   4.5 GB: 22-of-29   4.7 GB: 23-of-29   4.5 GB: 24-of-29   4.5 GB: 25-of-29   4.7 GB: 26-of-29   4.5 GB: 27-of-29   4.5 GB: 28-of-29   4.7 GB: 29-of-29
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.46.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
LoRA ModelYes
Torch Data Typefloat32
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than Sorawiz/KunouSky-32B.

Rank the KunouSky 32B 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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