IN
Inkling-Small
thinkingmachines
ID: inkling-small
open weights·Active·multimodal general·Updated Jul 27, 2026
Inkling-Small is a 266.0B-parameter Mixture-of-Experts (MoE) image text to text model developed by thinkingmachines. Built on the InklingForConditionalGeneration architecture using transformers. Released on 2026-07-27 with 160 likes and 840 downloads on Hugging Face.
Inkling-Small
Model Overview
Inkling-Small is a 266.0B-parameter Mixture-of-Experts image text to text model developed by thinkingmachines. Built on the InklingForConditionalGeneration architecture. Released on 2026-07-27.
📊 Quick Specs
Specification Table
| Specification | Value |
|---|---|
| Parameters | 266.0B |
| Architecture | InklingForConditionalGeneration |
| Task | image text to text |
| Modality | text, image |
| License | APACHE-2.0 |
| Framework | transformers |
| MoE | Yes |
| Languages | — |
✨ Key Features
- 266.0B parameters with sparse MoE architecture for efficient inference
- Built on InklingForConditionalGeneration architecture (transformers)
- Primary task: image text to text (text, image modality)
- Open-weights under APACHE-2.0 license — self-hostable and fine-tunable
📈 Community Adoption
- 160 likes on Hugging Face
- 840 downloads on Hugging Face
🔗 Resources
- Hugging Face Hub: Inkling-Small on Hugging Face
📜 License & Access
APACHE-2.0 — Open-weights model available for download, fine-tuning, and self-hosted deployment.