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Thinking Machines Lab Releases Inkling-Small: A 276B Total, 12B Active Open Weights Multimodal MoE Model

276B parameters, 12B active—Thinking Machines Lab's Inkling-Small matches its flagship at a quarter the size and fits on a single B300.

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Why it matters

Open-weight MoE efficiency milestone: a multimodal model achieving parity with a larger peer via sparsity and quantization, lowering the bar for practitioners to run capable models on consumer/mid-tier hardware.

The key facts

7 to know
  1. Inkling-Small: 276B total parameters, 12B active (MoE sparse)

  2. Multimodal (vision + language) capability

  3. Matches Inkling (full-size version) performance at 1/4 scale

  4. NVFP4 quantization checkpoint

  5. Runs on single NVIDIA B300 GPU

  6. Open weights release

  7. Published: August 2, 2026

Go to the source

MarkTechPostmarktechpost.com

Publisher excerpt: Inkling-Small matches Inkling at a quarter the size, and its NVFP4 checkpoint runs on one NVIDIA B300 GPU
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