LLM Reference

Japanese StableLM Alpha 7B

Released
2023-04-10
Last refreshed
2026-05-19
Status
Researched 105d ago
Open weightsCommercial use: conditional

Japanese StableLM Alpha 7B is released 2023-04-10 in the Japanese StableLM family with open-weight; evaluate it while provider pricing coverage matures.

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
Specifications
Released
2023-04-10
Context
2k
Parameters
7B
Architecture
Decoder Only
Specialization
general
Openness
Open weights
License
Stability AI Community LicenseCommercial use: conditional
Weights
Unknown
Code
Unknown
Training
Fine-tuned
Created by

Open-source generative AI models.

London, United Kingdom
Founded 2020
Website
Pricing

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.

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.