SeaLLM 7B V2
SeaLLM 7B V2 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 32k 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 2
- Released
- 2024-07-01
- Context
- 32k
- Parameters
- 7B
- Architecture
- Decoder Only
- Specialization
- general
- Training
- finetuned
About
SeaLLM-7B-v2 is a state-of-the-art, open-source multilingual large language model specifically crafted to support at least ten Southeast Asian languages, including both Latin and non-Latin scripts, thereby addressing their underrepresentation in existing models. This model excels in reasoning tasks, surpasses GPT-3.5 in certain benchmarks, and performs strongly in machine translation and instruction following. It is designed to be efficient, utilizing language-specific neuron training to reduce costs while maintaining high performance. Additionally, SeaLLM-7B-v2 includes safety measures to ensure trustworthy outputs, encouraging developers to conduct their own security checks to address any potential risks.
SeaLLM 7B V2 is a model in the SeaLLM 2 family. The structured metadata tracks a 32k-token context window. No headline benchmark score is tracked for SeaLLM 7B V2 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.