Qwen2.5 32B by Qwen

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  Arxiv:2407.10671   Conversational   En   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF ๐Ÿค—: https://huggingface.co/Qwen/Qwen2.5-32B 

Qwen2.5 32B Benchmarks

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 (Qwen/Qwen2.5-32B)

Qwen2.5 32B Parameters and Internals

Model Type 
causal language model
Additional Notes 
We do not recommend using base language models for conversations.
Supported Languages 
English (proficient), Chinese (proficient), French (proficient), Spanish (proficient), Portuguese (proficient), German (proficient), Italian (proficient), Russian (proficient), Japanese (proficient), Korean (proficient), Vietnamese (proficient), Thai (proficient), Arabic (proficient)
Training Details 
Methodology:
Pretraining
Context Length:
131072
Model Architecture:
transformers with RoPE, SwiGLU, RMSNorm, and Attention QKV bias
LLM NameQwen2.5 32B
Repository ๐Ÿค—https://huggingface.co/Qwen/Qwen2.5-32B 
Model Size32b
Required VRAM65.5 GB
Updated2025-02-05
MaintainerQwen
Model Typeqwen2
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 Length131072
Model Max Length131072
Transformers Version4.43.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

Quantized Models of the Qwen2.5 32B

Model
Likes
Downloads
VRAM
Qwen2.5 32B Instruct 4bit221649818 GB
Qwen2.5 32B Bnb 4bit33774919 GB
Qwen2.5 32B Instruct 8bit34434 GB

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DeepSeek R1 Distill Qwen 32B128K / 65.7 GB357633857
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Ultiima 32B128K / 65.8 GB3015
...R1 QwQ SkyT1 Flash 32B Preview128K / 65.8 GB902130
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...wen2.5 32B Inst BaseMerge TIES128K / 65.8 GB3619
Virtuoso Medium V2128K / 65.7 GB60235
Note: green Score (e.g. "73.2") means that the model is better than Qwen/Qwen2.5-32B.

Rank the Qwen2.5 32B Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Data Analysis and Insight Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227