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Qwen2.5 32B AGI by AiCloser

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  Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-32b-in...   Conversational Dataset:anthracite-org/kalo-op... Dataset:orion-zhen/dpo-toxic-z... Dataset:unalignment/toxic-dpo-...   En   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow   Zh
Model Card on HF 🤗: https://huggingface.co/AiCloser/Qwen2.5-32B-AGI 

Qwen2.5 32B AGI Benchmarks

LLME Score: 0.25239
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2.5 32B AGI (AiCloser/Qwen2.5-32B-AGI)

Qwen2.5 32B AGI Parameters and Internals

Additional Notes 
AGI means Aspirational Grand Illusion. The model is designed to address Hypercensuritis, suggesting an emphasis on reducing excessive censorship.
Supported Languages 
zh (Chinese), en (English)
LLM NameQwen2.5 32B AGI
Repository 🤗https://huggingface.co/AiCloser/Qwen2.5-32B-AGI 
Base Model(s)  Qwen/Qwen2.5-32B-Instruct   Qwen/Qwen2.5-32B-Instruct
Model Size32b
Required VRAM44.6 GB
Updated2025-03-18
MaintainerAiCloser
Model Typeqwen2
Instruction-BasedYes
Model Files  1.6 GB: 1-of-66   1.0 GB: 2-of-66   1.0 GB: 3-of-66   1.0 GB: 4-of-66   1.0 GB: 5-of-66   1.0 GB: 6-of-66   1.0 GB: 7-of-66   1.0 GB: 8-of-66   1.0 GB: 9-of-66   1.0 GB: 10-of-66   1.0 GB: 11-of-66   1.0 GB: 12-of-66   1.0 GB: 13-of-66   1.0 GB: 14-of-66   1.0 GB: 15-of-66   1.0 GB: 16-of-66   1.0 GB: 17-of-66   1.0 GB: 18-of-66   1.0 GB: 19-of-66   1.0 GB: 20-of-66   1.0 GB: 21-of-66   1.0 GB: 22-of-66   1.0 GB: 23-of-66   1.0 GB: 24-of-66   1.0 GB: 25-of-66   1.0 GB: 26-of-66   1.0 GB: 27-of-66   1.0 GB: 28-of-66   1.0 GB: 29-of-66   1.0 GB: 30-of-66   1.0 GB: 31-of-66   1.0 GB: 32-of-66   1.0 GB: 33-of-66   1.0 GB: 34-of-66   1.0 GB: 35-of-66   1.0 GB: 36-of-66   1.0 GB: 37-of-66   1.0 GB: 38-of-66   1.0 GB: 39-of-66   1.0 GB: 40-of-66   1.0 GB: 41-of-66   1.0 GB: 42-of-66   1.0 GB: 43-of-66   1.0 GB: 44-of-66
Supported Languageszh en
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.44.2
Vocabulary Size152064
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than AiCloser/Qwen2.5-32B-AGI.

Rank the Qwen2.5 32B AGI 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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Release v20241227
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