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Qwen SEA LION V4 32B IT by aisingapore

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Qwen SEA LION V4 32B IT is an open-source language model by aisingapore. Features: 32b LLM, VRAM: 65.8GB, Context: 40K, LLM Explorer Score: 0.27.

  Arxiv:2306.05685   Arxiv:2311.07911   Arxiv:2502.14301 Base model:finetune:qwen/qwen3...   Base model:qwen/qwen3-32b   Conversational   En   Endpoints compatible   Fil   Id   Km   Lo   Ms   My   Qwen3   Region:us   Safetensors   Sharded   Ta   Tensorflow   Th   Vi   Zh
Model Card on HF 🤗: https://huggingface.co/aisingapore/Qwen-SEA-LION-v4-32B-IT 

Qwen SEA LION V4 32B IT Benchmarks

LLME Score: 0.27038
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen SEA LION V4 32B IT (aisingapore/Qwen-SEA-LION-v4-32B-IT)
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Qwen SEA LION V4 32B IT Parameters and Internals

LLM NameQwen SEA LION V4 32B IT
Repository 🤗https://huggingface.co/aisingapore/Qwen-SEA-LION-v4-32B-IT 
Base Model(s)  Qwen3 32B   Qwen/Qwen3-32B
Model Size32b
Required VRAM65.8 GB
Updated2026-03-28
Maintaineraisingapore
Model Typeqwen3
Model Files  5.0 GB: 1-of-14   5.0 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   1.9 GB: 14-of-14
Supported Languagesen zh vi id th ta ms km lo my
Model ArchitectureQwen3ForCausalLM
Context Length40960
Model Max Length40960
Transformers Version4.51.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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...ll Qwen3 32B Preview7 QAT 200K195K / 65.8 GB33
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Qwen3 32B40K / 65.6 GB5942227549
SERA 32B40K / 65.8 GB929110
Nemotron Terminal 32B40K / 65.6 GB151634
Qwen3 32B FP840K / 34.5 GB82354676
FrogBoss 32B 251040K / 65.8 GB730529
Qwen3 32B NVFP440K / 20.7 GB8629413
Goedel Prover V2 32B40K / 65.8 GB1271151
Note: green Score (e.g. "73.2") means that the model is better than aisingapore/Qwen-SEA-LION-v4-32B-IT.

Rank the Qwen SEA LION V4 32B IT 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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