Model comparison
carbonated_sft_adapter vs o3
Capability radar, value bars, and side-by-side posture.
carbonated_sft_adapter
Not scored
value score
o3
93
value score
carbonated_sft_adapter ctx
—
o3 ctx
200K
Capability radar
Value · context · multimodal · openness · speed posture
Value head-to-head
- o393
Attribute tape
| Field | carbonated_sft_adapter | o3 |
|---|---|---|
| Developer | Satya-Sri | OpenAI |
| Context | — | 200K |
| Modalities | Text, Code | |
| Openness | — | Proprietary Model |
| Speed | — | — |
| Price | — | $10/1M in · $40/1M out |
| Value score | — | 93 |
| Summary | A LoRA/SFT adapter checkpoint published on Hugging Face by the Satya-Sri account, designed to apply parameter-efficient supervised fine-tuning (SFT) on top of a base language model for instruction-following or task-specific behavior. It is a small set of trained weights meant to be merged with or loaded alongside a compatible base model rather than used as a standalone model. | OpenAI reasoning model focused on hard problems. |