Last refreshed 2026-05-01. Next refresh: weekly.
Why use SeaLLM 7B V2.5 on NVIDIA NIM?
NVIDIA NIM offers SeaLLM 7B V2.5 with competitive pricing. NVIDIA NIM is NVIDIA's deployment platform for GPU-accelerated inference microservices.
Setup recipe
Docs fallbackUse the provider REST API or SDKCreate a provider API keymodel: seallm-7b-v2.5seallm-7b-v2.5Request example
seallm-7b-v2.5.Gotchas
No curated gotchas have been sourced for this exact provider/model route yet.
Pricing
| Type | Rate |
|---|---|
| GPU Hour Rate | $1.00/GPU·hr |
| GPU Config | 1xH100 |
Capabilities
No model capability flags are currently sourced.
About SeaLLM 7B V2.5
SeaLLM-7B-v2.5 is a cutting-edge multilingual large language model tailored for Southeast Asian languages. It surpasses its predecessor, SeaLLM-13B, by providing enhanced performance despite having just half its parameter size. The model excels in various tasks such as text generation and question answering, demonstrating a profound comprehension of language and context. Built on the Gemma-7b architecture, it underwent extensive supervised fine-tuning, contributing to its impressive multilingual proficiency across ten SEA languages. SeaLLM-7B-v2.5 not only outperforms GPT-3.5 on several SEA multilingual benchmarks but also flaunts superior capabilities in reasoning tasks like GSM8K and MATH, particularly in non-Latin languages, making it a versatile tool for diverse applications. Its open-source nature encourages collaborative innovation and further advancement in AI models.
FAQ
Who created SeaLLM 7B V2.5?
SeaLLM 7B V2.5 was created by Alibaba as part of the SeaLLM 2 model family.
Is SeaLLM 7B V2.5 open source?
SeaLLM 7B V2.5's open source status is unknown in the seed data.