Qwen3 32B Multi Sft 500 by harisarang

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Qwen3 32B Multi Sft 500 is an open-source language model by harisarang. Features: 32b LLM, VRAM: 65.5GB, Context: 40K.

  Qwen3   Region:us   Safetensors   Sharded   Tensorflow
Qwen3 32B Multi Sft 500 (harisarang/Qwen3-32B-multi-sft-500)
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Qwen3 32B Multi Sft 500 Parameters and Internals

LLM NameQwen3 32B Multi Sft 500
Repository ๐Ÿค—https://huggingface.co/harisarang/Qwen3-32B-multi-sft-500 
Model Size32b
Required VRAM65.5 GB
Updated2026-04-10
Maintainerharisarang
Model Typeqwen3
Model Files  49.9 GB: 1-of-2   15.6 GB: 2-of-2
Model ArchitectureQwen3ForCausalLM
Context Length40960
Model Max Length40960
Transformers Version5.3.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than harisarang/Qwen3-32B-multi-sft-500.

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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 v20260328a