Gradients
SN56Decentralized AutoML training subnet
Performances
RD Popularity Index
RD Growth Index
| 1h | 24h | 7d | 30d | 60d | 90d |
|---|---|---|---|---|---|
| 0.67% | 0.07% | 2.74% | 24.71% | 25.72% | -- |
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About Gradients
Gradients is Subnet 56 on Bittensor, maintained by Rayon Labs, and turns model fine-tuning into a training market that miners bid into. A user picks a model and dataset in the browser, the platform suggests column mappings, and the job is dispatched: miners submit a training script pinned to an exact commit, validators run it on dedicated GPUs and score the resulting model against hidden evaluation sets, with exponentially higher weights for the top entries. Finished models can be pulled from Hugging Face and tracked in Weights & Biases. An API at POST /v1/tasks/create accepts a model repository, dataset repository, instruction column and target completion hours.
Tournaments were layered on from 2025: each round runs four to seven days, elimination narrows the field, and the winning script is published to a public repository as the baseline for the next round. A separate path serves paying customers, who upload data while miners submit within a fixed window and are graded on held-out tests. The codebase kept a high commit rate through 2026; a 25 August change added tests for contestant selection and dataset propagation and addressed memory pressure during evaluation.
Revenue: On September 22 an on-chain index put Gradients' share of Bittensor TAO emissions at 1.34%, down from 6.66% in March, and operator Rayon Labs' three subnets combined fell from 23.71% of emissions in early 2026 to 7.97%, a clear contraction in emission allocation.
Release and fundamentals: From October 15 to November 14, daily emissions send about 9,100 tokens to validators and miners and about 2,000 to the subnet owner; at $3.84 on October 15 the market cap is about $21.04 million against an $80.64 million FDV, with only about 28.4% circulating and daily volume in the tens of thousands of dollars.
Besim — CEO & Lead Developer; runs Gradients' training pipeline and the SN56 subnet.
Christopher Subia-Waud — Founder & Founding Engineer; former engineer at Rayon Labs; drives decentralized model training delivery.
WanderingWeights — Model Lead; has led several open-source model training experiments.