Qwen2.5 Coder 32B Instruct by Qwen

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  Arxiv:2309.00071   Arxiv:2407.10671   Arxiv:2409.12186   Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-coder-...   Chat   Code   Codegen   Codeqwen   Conversational   En   Endpoints compatible   Instruct   Qwen   Qwen-coder   Qwen2   Region:us   Safetensors   Sharded   Tensorflow

Qwen2.5 Coder 32B Instruct Benchmarks

Qwen2.5 Coder 32B Instruct Parameters and Internals

LLM NameQwen2.5 Coder 32B Instruct
Repository ๐Ÿค—https://huggingface.co/Qwen/Qwen2.5-Coder-32B-Instruct 
Base Model(s)  Qwen/Qwen2.5-Coder-32B   Qwen/Qwen2.5-Coder-32B
Model Size32b
Required VRAM65.8 GB
Updated2024-11-21
MaintainerQwen
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
Generates CodeYes
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 Coder 32B Instruct (Qwen/Qwen2.5-Coder-32B-Instruct)

Quantized Models of the Qwen2.5 Coder 32B Instruct

Model
Likes
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VRAM
Qwen2.5 Coder 32B Instruct AWQ11675019 GB
...5 Coder 32B Instruct GPTQ Int810525735 GB
...5 Coder 32B Instruct GPTQ Int45268519 GB
...wen2.5 Coder 32B Instruct 4bit567718 GB
...wen2.5 Coder 32B Instruct 8bit552834 GB

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...wen2.5 Coder 32B Instruct 4bit32K / 18.5 GB6775
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Qwen2.5 Coder 32B Instruct AWQ32K / 19.4 GB675011
...5 Coder 32B Instruct GPTQ Int832K / 35.1 GB525710
...5 Coder 32B Instruct GPTQ Int432K / 19.5 GB26855

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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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241110