AI Singapore • General Purpose

Use Gemma SEA-LION v4 27B for Free

SEA-LION v4 27B is Southeast Asia's most capable open AI model — built on Google's Gemma architecture and specifically trained to serve the 600 million people of ASEAN in their native languages.

3,000+ registered users 100+ daily active No credit card required No API key needed Released 2025 27B parameters 128K tokens context

What Is Gemma SEA-LION v4 27B? — Complete Guide

Gemma SEA-LION v4 27B is an AI model released 2025 by AI Singapore, a leading organization in large language model research. Southeast Asian language specialist — optimized for Thai, Vietnamese, Indonesian, Malay, Filipino, and more. With 27B and a 128K tokens context window, Gemma SEA-LION v4 27B is designed to excel across a range of demanding tasks — from software engineering and mathematical problem-solving to multilingual content generation and long-document analysis.

Gemma SEA-LION v4 27B uses a dense transformer architecture with 27B of parameters, all of which are active for every input token. Dense architectures provide predictable, consistent behavior across diverse task types — there are no "cold" experts to warm up, and quality is uniform across prompts. AI Singapore's training pipeline combined large-scale pretraining on a large-scale multilingual pretraining dataset with supervised fine-tuning and alignment techniques (RLHF or DPO), producing Gemma SEA-LION v4 27B's characteristic balance of capability, helpfulness, and safety.

As of 2026-10-16, Gemma SEA-LION v4 27B by AI Singapore demonstrates measurable performance on standard AI evaluation benchmarks. On SEA language benchmarks — which measures model performance on specialized evaluation tasks — it achieves Strong — second to Qwen SEA-LION at 32B. These scores place Gemma SEA-LION v4 27B — at 27B of parameters — in a competitive position within its model class. Note that benchmark scores reflect controlled evaluation conditions; real-world performance varies by task, prompt design, and domain specificity.

The primary strengths of Gemma SEA-LION v4 27B are: Gemma-base variant for users in Google ecosystem; 11 ASEAN languages supported; Gemma license terms — broadly usable. These make it particularly well-suited for Google Cloud Vertex AI deployments for ASEAN markets, SEA-language apps on Google infrastructure. Users working on complex, multi-step problems benefit most from Gemma SEA-LION v4 27B's ability to maintain coherence across long inputs and produce structured, verifiable outputs.

Like all current AI systems, Gemma SEA-LION v4 27B has limitations: Slightly lower benchmarks than Qwen-based SEA-LION 32B. For production deployments, validating outputs against authoritative sources — especially for domain-specific or time-sensitive information — remains best practice. AI Singapore continues to improve Gemma SEA-LION v4 27B through ongoing research.

Gemma SEA-LION v4 27B is available on LITHOVEX AI with a free account. Unlike direct API access — which requires billing setup, API key management, and per-token charges — LITHOVEX AI provides a seamless browser interface with no setup required, making Gemma SEA-LION v4 27B accessible to students, researchers, developers, and early-stage teams globally.

Gemma SEA-LION v4 27B Capabilities

Fast Inference
Optimized for quick responses

Gemma SEA-LION v4 27B — Technical Specifications

Provider
AI Singapore
Parameters
27B
Context Window
128K tokens
Released
2025
Speed
fast
License
Gemma Terms of Use
Origin
Singapore
Knowledge Cutoff
2025
Architecture: Dense transformer, 27B parameters, Gemma base, fine-tuned for Southeast Asian languages
Languages: 11 Southeast Asian languages
Open Source: Yes — model weights publicly available

Benchmark Performance — Gemma SEA-LION v4 27B

SEA language benchmarks
SEA language benchmarks — measures model performance on specialized evaluation tasks
Strong — second to Qwen SEA-LION at 32B

As of 2026-10-16, Gemma SEA-LION v4 27B by AI Singapore demonstrates measurable performance on standard AI evaluation benchmarks. On SEA language benchmarks — which measures model performance on specialized evaluation tasks — it achieves Strong — second to Qwen SEA-LION at 32B. These scores place Gemma SEA-LION v4 27B — at 27B of parameters — in a competitive position within its model class. Note that benchmark scores reflect controlled evaluation conditions; real-world performance varies by task, prompt design, and domain specificity.

Best Use Cases

Google Cloud Vertex AI deployments for ASEAN markets
SEA-language apps on Google infrastructure

Why Choose Gemma SEA-LION v4 27B?

Gemma-base variant for users in Google ecosystem
11 ASEAN languages supported
Gemma license terms — broadly usable

Strengths

Gemma-base variant for users in Google ecosystem
11 ASEAN languages supported
Gemma license terms — broadly usable

Limitations

Slightly lower benchmarks than Qwen-based SEA-LION 32B

Architecture & Technical Design

Dense transformer, 27B parameters, Gemma base, fine-tuned for Southeast Asian languages

The training pipeline for Gemma SEA-LION v4 27B involves multiple stages: large-scale pretraining on diverse multilingual text and code corpora to develop broad world knowledge, followed by supervised fine-tuning on instruction-response pairs, and alignment techniques such as RLHF or DPO. Each stage refines the model's helpfulness, accuracy, and safety. AI Singapore's research team — based in Singapore — has optimized Gemma SEA-LION v4 27B for the specific capability profile described above.

Inference efficiency: Gemma SEA-LION v4 27B at 27B is designed to deliver quality outputs at practical serving speeds. Its 128K tokens context window enables processing entire documents, multi-file codebases, and extended conversation histories — particularly valuable for contract review, technical documentation analysis, and codebase-level AI assistance.

How to Use Gemma SEA-LION v4 27B on LITHOVEX AI

Getting started with Gemma SEA-LION v4 27B on LITHOVEX AI takes under two minutes. Follow these steps:

1. Create your free account — Visit the LITHOVEX AI sign-up page and register with your email. No credit card. Takes about 30 seconds.
2. Select Gemma SEA-LION v4 27B — Search for "Gemma SEA-LION v4 27B" in the model browser or browse by AI Singapore. Click to open the chat interface.
3. Start your first conversation — Type your question or task. Paste code, ask for analysis, or upload documents directly.
4. Refine and iterate — Ask follow-up questions, request revisions, or try alternative approaches. Gemma SEA-LION v4 27B maintains full conversation context.
5. Compare with other models — Switch to any of LITHOVEX AI's 200+ models to compare outputs and find the best fit for your task — no additional subscriptions needed.

For best results with Gemma SEA-LION v4 27B: provide specific, context-rich prompts; include examples when generating code; specify output format when structure matters; break complex tasks into focused sub-questions.

Real-World Use Cases — Gemma SEA-LION v4 27B

Example 1

Indonesian-language government and enterprise AI applications

Example 2

Thai-language customer service and content generation

Example 3

Filipino/Tagalog chatbots for Philippine businesses

Example 4

Vietnamese-language document analysis for Vietnam's tech sector

Example 5

ASEAN multilingual applications serving multiple SEA languages simultaneously

About AI Singapore

OpenAI is an American AI research laboratory founded in December 2015 by Sam Altman, Elon Musk, Greg Brockman, Ilya Sutskever, and others, with a mission to ensure artificial general intelligence benefits all of humanity. Originally a non-profit, OpenAI restructured to a "capped profit" model in 2019 and has since raised over $17.9 billion, with Microsoft as its largest investor and cloud-computing partner. OpenAI created GPT-2, GPT-3, and the GPT-4 series — each dramatically advancing the field. The company also developed DALL-E (image generation), Whisper (speech recognition), Codex (code generation), and Sora (video generation). ChatGPT, launched in November 2022, reached 100 million users in just two months — the fastest-growing consumer product in history — and fundamentally shifted mainstream awareness of AI capabilities. The GPT-5 generation (2025–2026) pushed frontier performance to new levels in coding, reasoning, and multimodal understanding. OpenAI's API has become the de facto standard for AI integration across industries. LITHOVEX AI provides free access to selected OpenAI models — no credit card or API subscription required.

Founded: 2017, headquartered in Singapore.

Visit the official AI Singapore website →

Why pay when Gemma SEA-LION v4 27B is free on LITHOVEX AI?

Official/Direct Access

Gemma SEA-Lion V4 27B IT is released under Google's Gemma Terms of Use, which permits broad research and commercial use. Free to download from HuggingFace and Kaggle. Works with Ollama and LM Studio locally. Google Cloud Vertex AI offers hosted Gemma endpoints with pay-per-token pricing. On LITHOVEX AI, Gemma SEA-Lion V4 27B IT is available for free — no Google Cloud account or billing required.
Subscription or per-token billing required
API key setup and billing configuration
Usage limits and overage fees
Credit card required upfront
Separate subscriptions for each model

LITHOVEX AI — Free Account

On LITHOVEX AI, access Gemma SEA-LION v4 27B and 200+ other frontier models with a single free account — no API key, no subscription, no credit card.
Free account access — no subscription required
No API key required
No credit card required
Same model, identical output quality
200+ models under one account, $0

How Gemma SEA-LION v4 27B Compares to Alternatives

Gemma SEA-LION v4 27B by AI Singapore competes in a field with several strong alternatives. Below is a detailed side-by-side comparison against commonly listed alternatives, using benchmark data and capability profiles in the catalog.

Gemma SEA-LION v4 27B vs Qwen SEA-LION v4 32B
AI Singapore • 32B
Metric Gemma SEA-LION v4 27B Qwen SEA-LION v4 32B
Parameters 27B 32B
Context Window 128K tokens 128K tokens
Open Source Yes Yes
Reasoning — —
Vision / Multimodal — —
SEA language benchmarks Strong — second to Qwen SEA-LION at 32B Leading open model for ASEAN languages
Where Qwen SEA-LION v4 32B wins
Qwen SEA-LION v4 32B from AI Singapore — different model family
Different training approach and data
Alternative perspective on AI tasks
Where Gemma SEA-LION v4 27B wins
Gemma SEA-LION v4 27B outscores Qwen SEA-LION v4 32B on SEA language benchmarks
Verdict: Gemma SEA-LION v4 27B and Qwen SEA-LION v4 32B serve overlapping needs. Test both free on LITHOVEX AI to find the better fit for your workflow.
Gemma SEA-LION v4 27B vs Gemma 3 27B
Google • 27B
Metric Gemma SEA-LION v4 27B Gemma 3 27B
Parameters 27B 27B
Context Window 128K tokens 128K tokens
Open Source Yes Yes
Reasoning — —
Vision / Multimodal — Yes
SEA language benchmarks Strong — second to Qwen SEA-LION at 32B —
Where Gemma 3 27B wins
Native multimodal vision support
Specialized code generation
Different provider — diversity in responses
Where Gemma SEA-LION v4 27B wins
Gemma SEA-LION v4 27B outscores Gemma 3 27B on SEA language benchmarks
Verdict: Gemma SEA-LION v4 27B and Gemma 3 27B serve overlapping needs. Test both free on LITHOVEX AI to find the better fit for your workflow.

Both Gemma SEA-LION v4 27B and the models above are available free on LITHOVEX AI — test them side by side on your real tasks before committing to a subscription with any provider.

Download & Self-Host Gemma SEA-LION v4 27B

Gemma SEA-LION v4 27B is released under Gemma Terms of Use, which means you can download and run it on your own hardware. Below are the quickest ways to get started.

Hardware Requirements

Format File Size VRAM RAM
FP16 (Full precision) ~68GB 20GB+ 20GB+
GPTQ / AWQ 4-bit ~34GB 10GB+ 10GB+
GGUF Q4_K_M (CPU-OK) ~17GB CPU-only OK 10GB+

Quick Start — Ollama

# Pull and run Gemma SEA-LION v4 27B
ollama pull gemma-sea-lion-v4-27b-it
ollama run gemma-sea-lion-v4-27b-it

Quick Start — Python / HuggingFace Transformers

# Install and load Gemma SEA-LION v4 27B
from
transformers
import
AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("aisingapore/Gemma-SEA-LION-v4-27B-IT")
tokenizer = AutoTokenizer.from_pretrained("aisingapore/Gemma-SEA-LION-v4-27B-IT")
Skip the hardware setup entirely.

LITHOVEX AI runs Gemma SEA-LION v4 27B on cloud infrastructure, so you can use it instantly in your browser without downloading anything, configuring drivers, or managing VRAM. Create a free account and start in under 60 seconds.

HuggingFace Model Card Ollama Library

Global Availability & International Use

SEA-LION v4 27B fills a critical gap in global AI: the ASEAN region's 10 countries speak dozens of languages including Bahasa Indonesia, Thai, Vietnamese, Filipino, Malay, Tamil, and Burmese — all poorly served by Western AI models. SEA-LION's specialized training makes it invaluable for Southeast Asian businesses, governments, and communities.

Gemma SEA-LION v4 27B — Version History & Updates

Gemma SEA-LION v4 27B by AI Singapore has the following version history and notable updates:

2025 — Gemma SEA-LION v4 27B released by AI Singapore. Initial public release.
As of June 2026 — Gemma SEA-LION v4 27B remains actively available on LITHOVEX AI. Check the official AI Singapore page for the latest updates and improvements.

For the complete changelog and latest release notes, visit the official AI Singapore model page.

Frequently Asked Questions — Gemma SEA-LION v4 27B

What is Gemma SEA-LION v4 27B?
Gemma SEA-LION v4 27B is an advanced AI model developed by AI Singapore headquartered in Singapore. Southeast Asian language specialist — optimized for Thai, Vietnamese, Indonesian, Malay, Filipino, and more. It uses Dense transformer, with 27B of learned knowledge and supports 128K tokens. As of 2026-10-16, Gemma SEA-LION v4 27B is available on LITHOVEX AI with a free account — no API key, no credit card, and no installation required. You can start using it from any modern web browser in under two minutes.
Can I use Gemma SEA-LION v4 27B for free on LITHOVEX AI?
Yes — LITHOVEX AI provides free access to Gemma SEA-LION v4 27B through a free account. Direct API access from AI Singapore requires billing setup, API key management, and careful token-usage monitoring. LITHOVEX AI removes all those barriers: sign up once with your email address, and you immediately unlock Gemma SEA-LION v4 27B alongside 200+ other frontier AI models. Free accounts include generous daily message limits designed for real professional and research workflows.
What are the best use cases for Gemma SEA-LION v4 27B?
Gemma SEA-LION v4 27B is optimally suited for Google Cloud Vertex AI deployments for ASEAN markets, SEA-language apps on Google infrastructure. AI Singapore designed and trained this model specifically to excel at tasks that require high-quality natural language understanding and generation. Professionals report strong results in .
How large is the context window of Gemma SEA-LION v4 27B?
Gemma SEA-LION v4 27B supports 128K tokens. A context window determines how much text the model can read and reason over in a single session — from conversation history and code files to legal documents and research papers. At 128K tokens, Gemma SEA-LION v4 27B can process roughly 96,000 words (about 300 pages) in a single conversation. The full context window is available on LITHOVEX AI.
What makes Gemma SEA-LION v4 27B different from other AI models?
Gemma SEA-LION v4 27B stands out because of Gemma-base variant for users in Google ecosystem. 11 ASEAN languages supported. Gemma license terms — broadly usable. Built by AI Singapore, it is trained on a large-scale multilingual dataset using a carefully optimized training pipeline combining large-scale pretraining with instruction tuning and alignment. Its recorded benchmark scores — SEA language benchmarks: Strong — second to Qwen SEA-LION at 32B — validate its competitive position. These qualities make it a strong choice compared to other frontier models on LITHOVEX AI, particularly for users prioritizing Gemma-base variant for users in Google ecosystem.
How does Gemma SEA-LION v4 27B perform on benchmarks?
Gemma SEA-LION v4 27B has been evaluated on independent AI benchmarks with the following results: SEA language benchmarks — Strong — second to Qwen SEA-LION at 32B. Benchmarks measure specific capabilities: MMLU tests breadth of world knowledge, HumanEval tests Python code generation accuracy, MATH and AIME test mathematical reasoning, and IFEval tests instruction-following reliability. Real-world performance on your specific tasks may differ from controlled benchmark conditions.
Is Gemma SEA-LION v4 27B open-source?
Yes — Gemma SEA-LION v4 27B is released under the Gemma Terms of Use license. This means you can download the model weights, run them locally, fine-tune on your own data, and even use the model commercially (subject to license terms). The Gemma Terms of Use is relatively permissive for most research and commercial applications — review the specific terms before enterprise deployment. Weights are available on HuggingFace.
What is the architecture of Gemma SEA-LION v4 27B?
Gemma SEA-LION v4 27B is built on Dense transformer, 27B parameters, Gemma base, fine-tuned for Southeast Asian languages. This is a dense transformer architecture where all 27B are active for every input token. Dense models provide predictable, consistent quality across all task types. AI Singapore's training pipeline — large-scale pretraining, supervised fine-tuning, and alignment — produces the characteristic capabilities Gemma SEA-LION v4 27B is known for.
Is Gemma SEA-LION v4 27B safe for enterprise and professional use?
Gemma SEA-LION v4 27B has undergone instruction tuning and alignment to reduce harmful, biased, or factually incorrect outputs. For enterprise use: all LITHOVEX AI requests travel over encrypted HTTPS connections. For organizations with strict compliance requirements (HIPAA, SOC 2, GDPR, PDPA), review both AI Singapore's data processing terms and LITHOVEX AI's privacy policy. For workloads involving regulated personal data or proprietary intellectual property, consider a self-hosted deployment using the open model weights (which are available under the Gemma Terms of Use license). LITHOVEX AI's free tier is appropriate for professional research, development, and content-generation workflows.
How does Gemma SEA-LION v4 27B compare to GPT-4o and Claude?
Gemma SEA-LION v4 27B and GPT-4o/Claude compete in different dimensions. GPT-4o excels at multimodal reasoning and has the most extensive ecosystem integrations; Claude models are known for accuracy, long-context coherence, and instruction-following nuance. Gemma SEA-LION v4 27B — by AI Singapore — offers Gemma-base variant for users in Google ecosystem, which makes it particularly attractive for organizations needing open weights and cost control. The best model for any given task depends on your specific workflow. LITHOVEX AI gives you access to all these models so you can compare them directly on your actual tasks without paying multiple API subscriptions.
What training data was Gemma SEA-LION v4 27B trained on?
Gemma SEA-LION v4 27B was trained on a large-scale multilingual dataset. The model's knowledge cutoff date is 2025, meaning it has no information about events after that date unless you provide it in your prompt. Like all large language models, Gemma SEA-LION v4 27B's training data shapes its factual knowledge, language capabilities, and inherent biases. For the most accurate and current information on specific topics, always verify critical facts from authoritative sources.
Can I use Gemma SEA-LION v4 27B on mobile?
Yes. LITHOVEX AI is fully responsive and optimized for mobile browsers on iOS and Android. Gemma SEA-LION v4 27B runs entirely server-side — your phone only needs a stable internet connection and a modern browser (Chrome, Safari, Firefox). The interface automatically adapts to smaller screens, making it practical for quick tasks, brainstorming, code review, and document analysis from anywhere in the world.
What programming languages does Gemma SEA-LION v4 27B support for coding?
Gemma SEA-LION v4 27B can assist with common programming languages like Python, JavaScript, and SQL, though it is primarily optimized for Google Cloud Vertex AI deployments for ASEAN markets, SEA-language apps on Google infrastructure. For intensive software engineering workflows, consider pairing it with a code-specialized model available on LITHOVEX AI.
Is there a usage limit when using Gemma SEA-LION v4 27B on LITHOVEX AI?
Free accounts on LITHOVEX AI include generous daily message limits designed to accommodate real professional workflows. You will not hit a limit in the middle of a normal working session. Premium accounts (at $40/month) offer higher or unlimited throughput for power users, API builders, and teams with production workloads. Unlike direct API access — which charges per token and requires prepayment — LITHOVEX AI's free tier lets you use Gemma SEA-LION v4 27B extensively before committing to any paid plan.
Who built Gemma SEA-LION v4 27B and who is AI Singapore?
Gemma SEA-LION v4 27B was created by AI Singapore headquartered in Singapore, founded in 2017. OpenAI is an American AI research laboratory founded in December 2015 by Sam Altman, Elon Musk, Greg Brockman, Ilya Sutskever, and others, with a mission to ensure artificial general intelligence benefits all of humanity. Originally a non-profit, OpenAI restructured to a "capped profit" model in 2019 and has since raised over $17.9 billion, with Mi... Their work has contributed significantly to the open AI ecosystem, and Gemma SEA-LION v4 27B represents one of their most notable contributions.
What alternatives to Gemma SEA-LION v4 27B are available on LITHOVEX AI?
LITHOVEX AI offers 200+ AI models. If Gemma SEA-LION v4 27B does not perfectly fit your workflow, strong alternatives include other frontier models on LITHOVEX AI. These share similar capabilities but may differ in context window size, speed, parameter count, or task specialization. You can switch between models mid-session on LITHOVEX AI and compare outputs directly — making it easy to find the best model for your specific needs without paying multiple API subscriptions.
Does Gemma SEA-LION v4 27B support image or vision inputs?
Gemma SEA-LION v4 27B is a text-only model and does not process image inputs. For vision tasks, LITHOVEX AI offers several multimodal alternatives — including Qwen VL, LLaVA, Gemma 3, and IDEFICS2 — all accessible with the same free account.
Can I download Gemma SEA-LION v4 27B and run it locally?
Yes — Gemma SEA-LION v4 27B is available for download under the Gemma Terms of Use license. You can find the model weights on HuggingFace at https://huggingface.co/aisingapore/Gemma-SEA-LION-v4-27B-IT. For local deployment, the easiest method is Ollama — run "ollama pull gemma-sea-lion-v4-27b-it" to download and "ollama run" to start it. LM Studio also supports Gemma SEA-LION v4 27B for a desktop GUI experience. Hardware requirements depend on the quantization format: FP16 needs 24GB+, while 4-bit quantized GGUF files run with lower VRAM. For users who don't want to manage local hardware, LITHOVEX AI provides free cloud access to Gemma SEA-LION v4 27B with no setup required.
How much does Gemma SEA-LION v4 27B cost to use?
On LITHOVEX AI, Gemma SEA-LION v4 27B is free — create a free account and start chatting with no credit card required. Through official channels, Gemma Terms — broadly free. For most individual users, researchers, and small teams, LITHOVEX AI's free tier provides sufficient access. Enterprise teams needing higher throughput or API integration can upgrade to LITHOVEX AI Premium at $40/month, which unlocks all 200+ models with high-volume access.

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