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Qwen2.5 32B Instruct CFT by TIGER-Lab

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  Arxiv:2501.17703   Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-32b-in...   Cft   Conversational Dataset:tiger-lab/webinstruct-...   En   Endpoints compatible   Instruct   Math   Qwen2   Reasoning   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/TIGER-Lab/Qwen2.5-32B-Instruct-CFT 

Qwen2.5 32B Instruct CFT Benchmarks

LLME Score: 0.22674
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Qwen2.5 32B Instruct CFT Parameters and Internals

LLM NameQwen2.5 32B Instruct CFT
Repository 🤗https://huggingface.co/TIGER-Lab/Qwen2.5-32B-Instruct-CFT 
Base Model(s)  Qwen/Qwen2.5-32B-Instruct   Qwen/Qwen2.5-32B-Instruct
Model Size32b
Required VRAM65.8 GB
Updated2025-06-09
MaintainerTIGER-Lab
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 Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.46.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace
Qwen2.5 32B Instruct CFT (TIGER-Lab/Qwen2.5-32B-Instruct-CFT)

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

Rank the Qwen2.5 32B Instruct CFT Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
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Release v20241124
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