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Contributors train specialized expert modules that are aggregated into powerful AI systems, without massive centralized compute.
Indicators are computed from daily candles and refresh once per day — directional context, not trading advice.
Recent emission events for this subnet
| Block | UID | Type | TAO | Alpha |
|---|---|---|---|---|
| Time↓ | Type | Event | τ Amount | ვ Amount | USD Value | Account |
|---|---|---|---|---|---|---|
| Sell | 9097455-168 | 0.2179 τ | 34.7493ვ | — | ||
| Sell | 9097451-160 | 0.7656 τ | 122.0624ვ | — | ||
| Buy | 9097445-164 | 2.00 τ | 318.7369ვ | — | ||
| Sell | 9097393-157 | 0.0078 τ | 1.2441ვ | — | ||
| Sell | 9097393-153 | 0.0029 τ | 0.4613ვ | — | ||
| Sell | 9097393-149 | 0.0174 τ | 2.7831ვ | — | ||
| Sell | 9097393-145 | 0.0061 τ | 0.9708ვ | — | ||
| Sell | 9097393-141 | 0.0058 τ | 0.9225ვ | — | ||
| Sell | 9097393-137 | 0.0048 τ | 0.7584ვ | — | ||
| Sell | 9097268-166 | 0.0823 τ | 13.1245ვ | — | ||
| Sell | 9097264-181 | 0.2325 τ | 37.0951ვ | — | ||
| Sell | 9097260-164 | 0.2293 τ | 36.5691ვ | — | ||
| Buy | 9097153-335 | 0.0051 τ | 0.8172ვ | — | ||
| Sell | 9097151-168 | 19.9799 τ | 3,186.7ვ | — | ||
| Buy | 9097151-139 | 20.00 τ | 3,189.9ვ | — |
This information was auto-extracted from the GitHub repository and may be incomplete or out of date. Always refer to the subnet's GitHub repository for the latest instructions.
8-bit AdamW optimizer (bitsandbytes) used to reduce memory footprint for fitting training steps on smaller GPUs
Install all dependencies including PyTorch, transformers, and distributed training libraries
pip install -r requirements.txt
Install CUDA-optimized PyTorch wheel (install from pytorch.org first as noted in requirements)
pip install torch==2.10.0 --index-url https://download.pytorch.org/whl/cu118
Run miner using the console entry point
weightnet-miner
Install all dependencies including FastAPI, bittensor, and observability tools
pip install -r requirements.txt
Install CUDA-optimized PyTorch wheel
pip install torch==2.10.0 --index-url https://download.pytorch.org/whl/cu118
Run validator using the console entry point
weightnet-validator
| Fund | Alpha held | Realizable | Share of fund | Weight in vector |
|---|---|---|---|---|
| tao.bot5E2LP6…eZ5u | 4.6Kვ | 28.73τspot 28.97τ | 0.48% | — |
| Arbos5GTWwu…ySXP | 3.0Kვ | 18.89τspot 18.99τ | 3.15% | 6.25% |
| Taostats5GKH9F…TrP1 | 3.0Kვ | 18.49τspot 18.58τ | 0.55% | — |
| Crucible Labs5CAQAg…7FmJ | 2.3Kვ | 14.47τspot 14.53τ | 1.10% | — |
| Yuma, a DCG Company5DXdHi…L1S1 | 2.2Kვ | 14.02τspot 14.08τ | 0.69% | — |
| 5Dd8ga…GrWv | 2.2Kვ | 13.64τspot 13.69τ | 0.98% | — |
| Openτensor Foundaτion5G3wMP…5KP3 | 1.7Kვ | 10.80τspot 10.84τ | 1.02% | — |
| Kraken5Ckaof…uUes | 1.7Kვ | 10.75τspot 10.79τ | 1.17% | — |
| tao55CsvRJ…2zVp | 1.6Kვ | 10.20τspot 10.23τ | 0.97% | — |
| TAO.com5HK5tp…EpeN | 1.5Kვ | 9.18τspot 9.21τ | 0.64% | — |