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Tool profile

Nehanth/swarmllm

new

Every device brings a slice. Together they run the whole model. Peer-to-peer LLM inference across browser tabs: a from-scratch WebGPU engine and a WebRTC runtime that split a 27B model over the devices in a room.

browserdistributed-inferenceinferencellmlocal-llmpeer-to-peerspeculative-decodingwebgpu
Velocity score
0.46/ 10
[STARS]
428
[FORKS]
61
[CONTRIBUTORS]
2
[LAST_COMMIT]
18d ago
OPEN_ON_GITHUB
Velocity class: new
Is Nehanth/swarmllm still actively maintained?
[VR]

This tool is in the Velocity Report when it moves. Get the weekly numbers.

Score breakdown
633/ 1000
inference · Nehanth/swarmllm
Velocity50%
Adoption30%
Maintenance15%
Community5%
[CODE_GROWTH]
774
[INSTALL_VEL]
498
[ACTIVITY]
549
[COMMUNITY_SIGNAL]
279

Terminal score: 0–1000 raw, weighted across 4 dimensions. Public score: 0–10 normalized (shown in the 30-day stars chart above).

LIVE──────── · ──:──:── UTCabout