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Qwen2.5 32B Instruct by Qwen

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  Arxiv:2309.00071   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

Qwen2.5 32B Instruct Benchmarks

LLME Score: 0.47182
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 Parameters and Internals

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
Updated2024-09-28
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
Qwen2.5 32B Instruct (Qwen/Qwen2.5-32B-Instruct)

Quantized Models of the Qwen2.5 32B Instruct

Model
Likes
Downloads
VRAM
Qwen2.5 32B Instruct AWQ20302519 GB
Qwen2.5 32B Instruct GPTQ Int45139719 GB
Qwen2.5 32B Instruct GPTQ Int84134735 GB
Qwen2.5 32B Instruct Bnb 4bit476719 GB

Best Alternatives to Qwen2.5 32B Instruct

Best Alternatives
Context / RAM
Downloads
Likes
Qwen2.5 32B AGI32K / 44.6 GB23740
EZO Qwen2.5 32B Instruct32K / 65.8 GB1752
BigQwen2.5 Echo 47B Instruct32K / 95.3 GB533
BigQwen2.5 52B Instruct32K / 105 GB1021
Qwen2.5 32B Instruct Bnb 4bit32K / 19.2 GB7674
Qwen2.5 32B Instruct AWQ32K / 19.4 GB302520
Qwen2.5 32B Instruct GPTQ Int432K / 19.5 GB13975
Qwen2.5 32B Instruct GPTQ Int832K / 35.1 GB13474

Rank the Qwen2.5 32B Instruct 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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