What are the hardware requirements for Qwen SEA LION V4 32B IT?

Qwen SEA LION V4 32B IT requires approximately 65.8 GB of VRAM and supports a context window of 40K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen SEA LION V4 32B IT and how large is it?

Qwen SEA LION V4 32B IT is developed by aisingapore, a model with 32b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Qwen SEA LION V4 32B IT?

Qwen SEA LION V4 32B IT is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen SEA LION V4 32B IT by aisingapore — VRAM 65.8GB, 40K context

Name: Qwen SEA LION V4 32B IT
Author: aisingapore

Qwen SEA LION V4 32B IT is an open-source language model by aisingapore. Features: 32b LLM, VRAM: 65.8GB, Context: 40K, License: mit, LLM Explorer Score: 0.22.

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 Parameters and Internals

LLM Name	Qwen 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 Size	32b
Required VRAM	65.8 GB
Updated	2026-07-24
Maintainer	aisingapore
Model Type	qwen3
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 Languages	en zh vi id th ta ms km lo my
Model Architecture	Qwen3ForCausalLM
License	mit
Context Length	40960
Model Max Length	40960
Transformers Version	4.51.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen SEA LION V4 32B IT capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

Best Alternatives to Qwen SEA LION V4 32B IT

Best Alternatives	Context / RAM	Downloads	Likes
...ll Qwen3 32B Preview7 QAT 200K	195K / 65.8 GB	10	3
...ll Qwen3 32B Preview6 QAT 200K	195K / 65.8 GB	6	2
...ll Qwen3 32B Preview4 QAT 200K	195K / 65.8 GB	13	2
Qwen3 32B AWorld	128K / 65.8 GB	37	15
Qwen3 32B	40K / 65.8 GB	5411	15
Qwen3 32B	40K / 65.6 GB	6155624	715
OpenThinkerAgent 32B	40K / 65.8 GB	9022	9
ArcANE 32B RLVR	40K / 65.8 GB	413	1
ArcANE 32B SFT	40K / 65.8 GB	242	1
ArcANE 32B DPO	40K / 65.8 GB	241	1

Note: green Score (e.g. "73.2") means that the model is better than aisingapore/Qwen-SEA-LION-v4-32B-IT.