SOLAR 10.7B Japanese
SOLAR 10.7B Japanese is worth evaluating for general LLM work when its provider route and context window match the workload.
Use it for
- Teams evaluating general LLM work
- Workloads that can use a 4k context window
- Buyers comparing 1 tracked provider route
Do not use it for
- Vision or document-understanding workloads
- Strict JSON or tool-calling flows
- Family
- Solar Mini
- Released
- 2024-06-24
- Context
- 4k
- Parameters
- 10.7B
- Architecture
- Decoder Only
- Specialization
- general
- Openness
- Open source
- License
- Apache 2.0OSI-approvedCommercial use: permitted
- Weights
- Unknown
- Code
- Unknown
- Training
- Fine-tuned
Cheapest of 1 route · Upstage Console
About
The SOLAR-10.7B Japanese language model boasts 10.7 billion parameters and is constructed on the Llama 2 architecture, integrating weights from Mistral 7B. It uses a technique called Depth Up-Scaling (DUS) to scale its depth in a straightforward manner compatible with standard frameworks. Tailored for single-turn conversations, the model excels at generating text and potentially code, rivaling even those with up to 30 billion parameters in certain benchmarks. Although its performance varies across tasks, and the details of its training data are limited, it remains a proficient tool in the realm of language models.
Top use-case fit
No primary decision-task fit is mapped for this model yet.
Provider price ladder
Compare API pricing across 1 providers for input and output tokens, batch, and cached reads when available.
| Provider | Input / 1M | Output / 1M | Route |
|---|---|---|---|
| Upstage Console | $0.300 | $0.300 | Serverless |
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.
Cheapest of 1 route · Upstage Console