SOLAR 10.7B v1.0
Unavailable in this round
Upstage
SOLAR 10.7B v1.0 is Upstage’s compact open checkpoint, and its training method is the main reason to study it. Depth Upscaling changes the architecture of a 7B starting model, expands its layers, and continues pretraining with additional data. Upstage used the approach to target more capacity below the then-common 30B class without releasing an equally large dense checkpoint.
SOLAR 10.7B v1.0 is a base model with 10.7 billion parameters and a 4,096-token context. It has no instruction post-training for chat conversations.
One SVG prompt and fixed output settings. Captures are shown only with 0 reported reasoning tokens or documented lack of reasoning controls. Identical test conditions do not make the models' internal compute identical.
Unavailable in this round
28.4 / 100
| Type | Evidence and data date |
|---|---|
| Input | Documented modalities. |
| Output | Documented modalities. |
| Additional source | SOLAR technical paper · Editorial description reviewed October 2, 2026 |
| Additional source | OpenRouter: Popularity index (derived), CC BY 4.0 |
| Additional source | Vercel AI Gateway: Popularity index (derived), CC BY 4.0 |
| Additional source | Creative Commons Attribution 4.0 |