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Qwen2.5 Bakeneko 32B Instruct by rinna

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  Arxiv:2310.04799   Arxiv:2404.01657   Arxiv:2405.14734   Arxiv:2407.10671   Arxiv:2412.15115   Autotrain compatible Base model:merge:qwen/qwen2.5-... Base model:merge:qwen/qwen2.5-... Base model:merge:rinna/qwen2.5...   Base model:qwen/qwen2.5-32b Base model:qwen/qwen2.5-32b-in... Base model:rinna/qwen2.5-baken...   Conversational   Endpoints compatible   Instruct   Ja   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/rinna/qwen2.5-bakeneko-32b-instruct 

Qwen2.5 Bakeneko 32B Instruct Benchmarks

LLME Score: 0.23631
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2.5 Bakeneko 32B Instruct (rinna/qwen2.5-bakeneko-32b-instruct)
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Qwen2.5 Bakeneko 32B Instruct Parameters and Internals

LLM NameQwen2.5 Bakeneko 32B Instruct
Repository 🤗https://huggingface.co/rinna/qwen2.5-bakeneko-32b-instruct 
Base Model(s)  Qwen/Qwen2.5-32B   Qwen/Qwen2.5-32B-Instruct   rinna/qwen2.5-bakeneko-32b   Qwen/Qwen2.5-32B   Qwen/Qwen2.5-32B-Instruct   rinna/qwen2.5-bakeneko-32b
Model Size32b
Required VRAM65.8 GB
Updated2025-08-28
Maintainerrinna
Model Typeqwen2
Instruction-BasedYes
Model Files  4.9 GB: 1-of-14   4.9 GB: 2-of-14   4.9 GB: 3-of-14   4.9 GB: 4-of-14   4.9 GB: 5-of-14   4.9 GB: 6-of-14   4.9 GB: 7-of-14   4.9 GB: 8-of-14   4.9 GB: 9-of-14   4.9 GB: 10-of-14   4.9 GB: 11-of-14   4.9 GB: 12-of-14   4.9 GB: 13-of-14   2.1 GB: 14-of-14
Supported Languagesja
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.48.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than rinna/qwen2.5-bakeneko-32b-instruct.

Rank the Qwen2.5 Bakeneko 32B Instruct 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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