Model comparison
MobileNetV3-Small 100 (LAMB / IN1k) vs StarCoder2 15B
Capability radar, value bars, and side-by-side posture.
MobileNetV3-Small 100 (LAMB / IN1k)
Not scored
value score
StarCoder2 15B
70
value score
MobileNetV3-Small 100 (LAMB / IN1k) ctx
—
StarCoder2 15B ctx
16K
Capability radar
Value · context · multimodal · openness · speed posture
Value head-to-head
- StarCoder2 15B70
Attribute tape
| Field | MobileNetV3-Small 100 (LAMB / IN1k) | StarCoder2 15B |
|---|---|---|
| Developer | Hugging Face | Hugging Face |
| Context | — | 16K |
| Modalities | Image-classification | Text, Code |
| Openness | — | Open Weights |
| Speed | — | — |
| Price | — | — |
| Value score | — | 70 |
| Summary | A compact MobileNetV3-Small image-classification model (~2.55M parameters) trained on ImageNet-1k using the LAMB optimizer recipe via the timm / pytorch-image-models library. Designed for low-latency inference and as an efficient visual feature backbone on resource-constrained hardware. | BigCode open coding model on Hugging Face. |