Inkling 2 Small lands on Hugging Face
Thinking Machines has published Inkling 2 Small’s NVFP4 weights on Hugging Face. The sparse MoE model packs 594B total parameters, 17B active per token, and weighs roughly 394 GB.
This is a meaningful open-weight release, but “Small” remains a generous name for a checkpoint that demands serious infrastructure.
- –Sparse activation lowers per-token compute, but every expert still needs to be resident for inference.
- –NVFP4 makes the model more deployable on modern Blackwell hardware while keeping the checkpoint far beyond ordinary single-GPU use.
- –Hugging Face availability opens the door to self-hosted evaluation, inference-engine support, and community quantization.
- –Image inputs and long-horizon coding position Inkling 2 Small for agentic workflows, not just chat.
- –The real test is whether its 17B-active efficiency translates into competitive quality without frontier-model deployment costs.
DISCOVERED
1h ago
2026-11-12
PUBLISHED
1h ago
2026-11-12
RELEVANCE
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