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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

Qwen2.5 32B AGI Benchmarks

LLME Score: 0.388
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 Parameters and Internals

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
Updated2024-09-29
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
Qwen2.5 32B AGI (AiCloser/Qwen2.5-32B-AGI)

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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

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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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Release v2024072803
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