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Subnets / SN81

deprecated SN81

deprecated (subnet 81) is a Bittensor subnet held by 1,690 unique coldkeys. Its liquidity pool holds 16.6k τ, with the alpha token trading at 0.0052 τ. Roughly 5% of tracked holders are in profit — most bought in above today's price. Seller exhaustion is elevated: 87% of recent sellers have emptied their wallets, thinning the supply overhang. Full insider flow, whale tracking and the complete proprietary factor set for deprecated are available to SubnetStats subscribers.
SCREENER
ALPHA PRICE
0.0052 τ
IN TAO
HOLDERS
1,690
UNIQUE COLDKEYS
POOL DEPTH
16.6k τ
TAO IN POOL
7D MOMENTUM
+9.5%
ALPHA vs TAO
01

30-day alpha price

as of 2026-11-08
Project activity
@reliquary_ai
3d ago
We’ve released Teutonic-I-Reliquary, a 9B model post-trained entirely on Bittensor using untrusted GPUs, from RTX 3090s to B200s. It beats Qwen3.5-9B on SWE-bench Verified, scoring 43.6% vs 35.1%. https://t.co/hv9vTMD6aW
8d ago
Publicly fixing sampling noise so untrusted miners can feed a real RL loop & verifying every eval on-subnet
16d ago
Today, we're launching a reinforcement learning run on our subnet to train Teutonic I, Bittensor's 9B-parameter model. It's our largest training run yet, and you'll be able to follow its progress through a public dashboard. https://t.co/kywtojnOxV
26d ago
A centralized lab can only use the GPUs it owns or rents. Reliquary can use any GPU in the world. That’s why we build on Bittensor. Here’s the key. Inference means low latency and no interruptions: an answer can’t stop halfway. Post-training doesn’t need either. Nobody is waitin
2026-10-07 ago
Reliquary is building post-training on demand. The network behind our own models is opening up to Bittensor subnet teams. First up: Batch generation. Training data built around your model and tasks. Early access: https://t.co/PMorVFzQ1h https://t.co/j68qwZypEg
2026-10-03 ago
A week ago we added a new task to Subnet 81: batch generation. You give it a dataset and a model, miners generate the completions. Since then, the network has generated nearly 3B tokens with Qwen3.8-27B, with outputs spot-checked against the model's weights. We're using them to
2026-09-30 ago
This is where it gets interesting.
2026-09-28 ago
Come meet us at @ExploitSummit tomorrow!
2026-09-28 ago
👀 expanding to vision soon
2026-09-24 ago
New task type coming to Reliquary, alongside RL: SFT data generation. The first job, miners generate reasoning traces with Qwen3.8-27B on math and code, and every single token is verified against the model before it gets paid.
2026-09-23 ago
We just shipped a major upgrade to Reliquary's validation system. Validators no longer need to load the full model. They stream it layer by layer, so a single H100 can now verify a frontier MoE, bit-identical to running it whole. Bigger models are coming to Reliquary.
2026-09-21 ago
Introducing Reliquary-4B. A 4B math & code model trained with reinforcement learning. Anyone could join the network and contribute rollouts. Independent miners chose the prompts and generated the rollouts. The protocol verified them and trained the model. Here’s the model and the
2026-09-15 ago
We're updating how Reliquary pays for useful work. A price that responds to supply. Unspent emissions burned. A path toward multiple tasks, each with its own budget. The mechanism, the reasoning, and what we'll measure ↓ https://t.co/HXuwkfQgRf
2026-08-27 ago
Reliquary weekly update Raw base model → measurable reasoning gains in just over one day: • Math 40.2%→71.1% • Code 56.6%→68.3% • Training 200→1,500 steps/day (7.5×) • Longer, structured reasoning Next: sandboxed multi-turn AGI environments: https://t.co/yj7Hw79naN
2026-08-15 ago
@Jason Teutonic just showed decentralized pretraining works. Capability is made in RL. Reliquary (SN81) is the other half of the stack — pure decentralized GRPO. Miners hunt the exact learning frontier. Every rollout is cryptographically verified before it touches the weights. Na
2026-08-15 ago
Subnet 81 has been retaken by its community. Reliquary now holds the keys. To everyone who locked behind us from day one: this takeover is yours. You didn't back a promise — you backed a running system. Here's what SN81 does, why nobody else can do it, and where it goes. 🧵 http
2026-07-23 ago
13 days is not a promise. It is today's conditional ownership horizon for SN81. Locks, supply, runtime and leadership can move it. Watch the finalized state → https://t.co/ftxGCoBc84 https://t.co/Le942AskfX
2026-07-02 ago
Reliquary is live on Bittensor Subnet 81. A market where miners are paid to find the prompts a model is about to learn from — and every rollout is cryptographically verified before it trains the next checkpoint. https://t.co/sxkJ0uYjGP
Posts by the project. Not a signal.
02

Proprietary signals

a sample — full set on the screener
SELLERS DRAINED
87%
28D SELLERS EMPTIED OUT
CAPITULATION
+1.02
BOUNCE COMPOSITE (z)
HEAT 7D
0.59×
VOLUME ÷ POOL DEPTH
HOLDERS IN PROFIT
5%
TRACKED WALLETS · ENTRY BELOW PRICE
WHAT'S CARRYING THE PRICE · 30DMIXEDemission rank #96 · below the bar (rank 32)
30D RETURN
-10.4%
ALPHA vs TAO
WITHOUT CHAIN BUYS
-10.4%
SAME 30 DAYS, PROTOCOL BID REMOVED
CHAIN SHARE OF BUYING
—
CHAIN BUYS vs TRADERS' NET
CHAIN BUYS / DAY
0 τ
PROTOCOL BUYING ITS ALPHA
Since the Emissions Gate, about two-thirds of emission is the protocol buying alpha on the pool. PROPPED = the chain carried the price while traders sold; ORGANIC = traders were net buyers and it beat the median without the chain. A description, not a forecast. How it works →
See who's buying and selling deprecated — every trade classified miner / validator / owner / outsider, plus holder cost basis and the full 23-factor screener.
OPEN THE INSIDER TAPE →
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Figures computed from Bittensor chain records. Not investment advice.
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