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Qwen2.5 32B Instruct by Qwen

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  433250   
  Arxiv:2309.00071   Arxiv:2407.10671   Autotrain compatible Base model:finetune:qwen/qwen2...   Base model:qwen/qwen2.5-32b   Chat   Conversational   En   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Qwen/Qwen2.5-32B-Instruct 

Qwen2.5 32B Instruct Benchmarks

MMLU Pro: 51.85
GPQA: 11.74
MUSR: 13.5
BBH: 56.49
IFEval: 83.46 vs 88 (so35)-5.2%
MATH Lvl 5: 62.54
LLME Score: 0.49149
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 Instruct (Qwen/Qwen2.5-32B-Instruct)

Qwen2.5 32B Instruct Parameters and Internals

Model Type 
Causal Language Models
Supported Languages 
languages_supported (/- en ), proficiency (/multilingual support for over 29 languages, including Chinese, English, French, Spanish, Portuguese, German, Italian, Russian, Japanese, Korean, Vietnamese, Thai, Arabic, and more.)
Training Details 
Methodology:
Pretraining & Post-training
Context Length:
131072
Model Architecture:
transformers with RoPE, SwiGLU, RMSNorm, and Attention QKV bias
LLM NameQwen2.5 32B Instruct
Repository 🤗https://huggingface.co/Qwen/Qwen2.5-32B-Instruct 
Base Model(s)  Qwen/Qwen2.5-32B   Qwen/Qwen2.5-32B
Model Size32b
Required VRAM65.5 GB
Updated2025-02-22
MaintainerQwen
Model Typeqwen2
Instruction-BasedYes
Model Files  3.9 GB: 1-of-17   3.9 GB: 2-of-17   3.9 GB: 3-of-17   3.9 GB: 4-of-17   3.9 GB: 5-of-17   3.9 GB: 6-of-17   3.9 GB: 7-of-17   3.9 GB: 8-of-17   3.9 GB: 9-of-17   3.9 GB: 10-of-17   3.9 GB: 11-of-17   3.9 GB: 12-of-17   3.9 GB: 13-of-17   3.9 GB: 14-of-17   3.9 GB: 15-of-17   3.9 GB: 16-of-17   3.1 GB: 17-of-17
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.43.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

Quantized Models of the Qwen2.5 32B Instruct

Model
Likes
Downloads
VRAM
Qwen2.5 32B Instruct GPTQ Int42411447919 GB
Qwen2.5 32B Instruct AWQ593691619 GB
Cogito R1522365 GB
Qwen2.5 32B Instruct GPTQ Int883772135 GB
Qwen2.5 32B Instruct Bnb 4bit111283119 GB

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...y Qwen2.5coder 32B V24.1q 200K195K / 65.8 GB142
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Franqwenstein 35B128K / 69.8 GB798
QwQenSeek Coder128K / 65.7 GB4365
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EVA Qwen2.5 32B V0.2128K / 65.8 GB237050
Qwenstein2.5 32B Instruct128K / 65.5 GB2762
EVA Instruct SP 32B128K / 65.8 GB273
EVA Qwen2.5 32B V0.0128K / 65.8 GB86126

Rank the Qwen2.5 32B Instruct 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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