Japanese StableLM Alpha 7B
Japanese StableLM Alpha 7B 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 2k 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
- 2k
- Parameters
- 7B
- Architecture
- Decoder Only
- Specialization
- general
- Training
- finetuned
No tracked provider token pricing is available yet.
About
The Japanese StableLM Alpha 7B is a large language model crafted for Japanese text generation and comprehension. Created by Stability AI, this 7-billion parameter model is based on the NeoX transformer architecture, enabling the production of high-quality, fluent Japanese text. With training on a vast dataset comprising predominantly Japanese and English texts and a small portion of source code, the model adeptly handles code-switching between these languages. It is geared towards tasks like creative writing, dialogue generation, and summarization, though it may reflect biases from its training data. Additionally, there's a refined version, Japanese StableLM Instruct Alpha 7B, which excels in adhering to instruction and generating context-relevant responses.
Japanese StableLM Alpha 7B is a model in the Japanese StableLM family. The structured metadata tracks a 2k-token context window. No headline benchmark score is tracked for Japanese StableLM Alpha 7B 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.