SeaLLM 13B
SeaLLM 13B has model metadata, but missing tracked provider pricing keeps it from being a default production pick.
Use it for
- Teams evaluating general LLM work
- Workloads that can use a 4k context window
Do not use it for
- Cost-sensitive launches that need sourced token pricing
- Vision or document-understanding workloads
- Strict JSON or tool-calling flows
- Family
- SeaLLM
- Released
- 2024-03-15
- Context
- 4k
- Parameters
- 13B
- Architecture
- Decoder Only
- Specialization
- general
- Training
- finetuned
About
The SeaLLM-13B is crafted for Southeast Asian languages, leveraging the Llama-2 architecture with 13 billion parameters. It has been extensively pre-trained and fine-tuned for various linguistic tasks, excelling in text comprehension and generation in languages like Vietnamese, Thai, Khmer, and Burmese. Compared to models such as ChatGPT-3.5, SeaLLM-13B often performs better in these languages. Its strengths include task-oriented problem-solving, following instructions, and cultural adaptation, making it suitable for chatbot applications and language translation. Nonetheless, it occasionally exhibits hallucinations and reduced performance in some low-resource languages, highlighting the challenges in AI advancements for regional languages 1411.
SeaLLM 13B is a model in the SeaLLM family. The structured metadata tracks a 4k-token context window. No headline benchmark score is tracked for SeaLLM 13B yet.
Top use-case fit
No primary decision-task fit is mapped for this model yet.
Provider price ladder
No tracked provider token pricing is available for this model yet.
Capabilities
No model capability flags are currently sourced.
Benchmark peer barsfor Coding
No task-mapped benchmark peers are available for this model yet.
Migration checks
No linked migration route is available for this model yet.