Japanese StableLM 3B
Japanese StableLM 3B 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
- Japanese StableLM
- Released
- 2023-04-10
- Context
- 4k
- Parameters
- 3B
- Architecture
- Decoder Only
- Specialization
- general
- Training
- finetuned
No tracked provider token pricing is available yet.
About
The Japanese StableLM 3B is a cutting-edge large language model developed by Stability AI, consisting of 3 billion parameters in a transformer decoder architecture akin to LLaMA. Designed specifically for Japanese language tasks, it excels in generating coherent text and following instructions while being culturally relevant. Trained on approximately 100 billion tokens from diverse datasets, including Wikipedia and OSCAR, it provides a rich linguistic foundation. Despite its capabilities, it may exhibit biases from its training data and requires fine-tuning for specific applications, especially in sensitive contexts.
Japanese StableLM 3B is a model in the Japanese StableLM family. The structured metadata tracks a 4k-token context window. No headline benchmark score is tracked for Japanese StableLM 3B 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.