SeaLLM 2 Models by Alibaba
Last refreshed 2026-05-19. Next refresh: weekly.
Details
About
The SeaLLM family is a series of large language models designed to cater to Southeast Asian languages, showcasing superior multilingual capabilities. The SeaLLM-7B-v2 marks a significant advancement, effectively outperforming larger models like its predecessor and GPT-3.5 in various multilingual tasks such as world knowledge, math reasoning, and instruction following. It notably excels in the zero-shot GSM8K task, achieving state-of-the-art performance. Building on this, the SeaLLM-7B-v2.5 further enhances its proficiency in reasoning benchmarks and world knowledge. Despite these strengths, users are advised to exercise caution as the models, even with safety fine-tuning, might still produce misleading or harmful content. The recent release of SeaLLMs-v3 improves on trustworthiness and reduces hallucinations, furthering the advancement in handling non-Latin Southeast Asian languages 145.
Decision facts
- Best fit
- math-heavy prompts
- Capability starting point
- SeaLLM 7B V2 with 32k context
- Lowest tracked input
- Not tracked
- Closest related family
- Tongyi DeepResearch
Current Variants
Use-when guidance is based on each model's tracked capabilities, context window, release date, and replacement status.
Use when the workload needs 32k context and 7B parameters.
| Model | Use when | Released | Signals | Status |
|---|---|---|---|---|
| SeaLLM 7B V2 | Use when the workload needs 32k context and 7B parameters. | 2024-07 | 32k context7B parameters | Current |
Release Timeline
1 release groupSpecifications(2 models)
| Model | Released | Context | Parameters |
|---|---|---|---|
| SeaLLM 7B V2 | 2024-07 | 32k | 7B |
