What are the hardware requirements for Gemma SEA LION V4 27B IT?

Gemma SEA LION V4 27B IT requires approximately 55.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gemma SEA LION V4 27B IT and how large is it?

Gemma SEA LION V4 27B IT is developed by aisingapore, a model with 27b 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 Gemma SEA LION V4 27B IT?

Gemma SEA LION V4 27B IT is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gemma SEA LION V4 27B IT by aisingapore — VRAM 55.2GB

Name: Gemma SEA LION V4 27B IT
Author: aisingapore

Gemma SEA LION V4 27B IT is an open-source language model by aisingapore. Features: 27b LLM, VRAM: 55.2GB, License: gemma, LLM Explorer Score: 0.22.

Arxiv:1910.09700 Arxiv:2306.05685 Arxiv:2311.07911 Arxiv:2502.14301 Base model:aisingapore/gemma-s... Base model:finetune:aisingapor... Conversational En Endpoints compatible Fil Gemma3 Id Image-text-to-text Jv Km Lo Ms My Region:us Safetensors Sharded Su Ta Tensorflow Th Vi Zh

Model Card on HF 🤗: https://huggingface.co/aisingapore/Gemma-SEA-LION-v4-27B-IT

Gemma SEA LION V4 27B IT Parameters and Internals

LLM Name	Gemma SEA LION V4 27B IT
Repository 🤗	https://huggingface.co/aisingapore/Gemma-SEA-LION-v4-27B-IT
Base Model(s)	aisingapore/Gemma-SEA-LION-v4-27B aisingapore/Gemma-SEA-LION-v4-27B
Model Size	27b
Required VRAM	55.2 GB
Updated	2026-08-10
Maintainer	aisingapore
Model Type	gemma3
Model Files	4.9 GB: 1-of-12 5.0 GB: 2-of-12 5.0 GB: 3-of-12 5.0 GB: 4-of-12 5.0 GB: 5-of-12 5.0 GB: 6-of-12 5.0 GB: 7-of-12 5.0 GB: 8-of-12 5.0 GB: 9-of-12 5.0 GB: 10-of-12 5.0 GB: 11-of-12 0.3 GB: 12-of-12
Supported Languages	en zh vi id th ta ms km lo my jv su
Model Architecture	Gemma3ForConditionalGeneration
License	gemma
Transformers Version	4.50.0.dev0
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Torch Data Type	bfloat16

Rank the Gemma SEA LION V4 27B 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 Gemma SEA LION V4 27B IT

Best Alternatives	Context / RAM	Downloads	Likes
Fallen Gemma3 27B V1	128K / 55.3 GB	90	49
Gemma 3 27B It	0K / 55.3 GB	769066	2006
Translategemma 27B It	0K / 55.3 GB	16445	390
MamayLM Gemma 3 27B IT V2.0	0K / 55.2 GB	1875	8
Gemma 3 27B It Quantized.w4a16	0K / 19.8 GB	329829	13
Gemma 3 27B It	0K / 55.3 GB	42790	16
Translategemma 27B It Bf16	0K / 54 GB	65	1
Gemma 3 27B It Abliterated	0K / 55.3 GB	2762	336
Gemma 3 27B Pt	0K / 55.3 GB	8304	124
Gemma 3 27B It FP8 Dynamic	0K / 29.5 GB	16	1

Note: green Score (e.g. "73.2") means that the model is better than aisingapore/Gemma-SEA-LION-v4-27B-IT.