Leaderboard
Subnet 9 - AI Pretraining

Subnet 9 is a Bittensor subnet that rewards miners for producing pretrained Foundation-Models on the Hugging Face's FineWeb Edu (score 2) dataset.

It acts like a continuous benchmark whereby miners are rewarded for attaining the best losses on randomly sampled pages.

The models with the best head-to-head win-rate on the evaluation data receive a steady emission of TAO.

Links:

Discord Github Whitepaper

Competitions

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Model improvement over time

Live Leaderboard

2nd

memevis / zombie5000

UID 234

Incentive0.1631Emission482.7729Trust0.8293Average Loss0.2322

1st

ehwai / sp17

UID 102

Incentive0.0191Emission56.6740Trust0.3217Average Loss0.6104

3rd

memeviss / py_6

UID 242

Incentive0.2047Emission606.0480Trust1.0000Average Loss0.6671

Rank
1st	ehwai / sp17	0.516	0.284	0.61	0.05	1	E2TTS	58400ccf4906362730aad6e2e3af1e72367dad0c	102	5184385
2nd	memevis / zombie5000	0.313	0.172	0.232	0.437	0	E2TTS	50631f498a0be4d1e41d321e181b18e443429ea4	234	5363706
3rd	memeviss / py_6	0.25	0.138	0.667	0.3559	0	E2TTS	e4261fa8a3ce475fdb84adc5f9e9c63136c5050a	242	5351121
4	memevis / zombie6000	0.063	0.034	0.774	0.4691	0	E2TTS	654f78cb698cde592645455add9106d6587498a0	205	5369221
5	memeviss / gt_4	0.063	0.034	0.181	0.4768	0	E2TTS	346741ddc5fa12a8610833fb23b2fe962dc0c4e6	189	5351333
6	memeviss / PIl_8	0.032	0.018	0.151	0.4604	0	E2TTS	d950d005816a50e3f834dc7806d0fc0d199446b6	2	5365284
7	memeviss / bigone_2	0.031	0.017	0.135	0.4858	0	E2TTS	97233fbda86c2ba06ecadad682671ae9bac04bcd	235	5354561
8	memevis / der11	0.031	0.017	0.29	0.3977	0	E2TTS	3f303fdbd5788519758e93bedc9ca2c2450af072	45	5349873
9	memevis / der3	0.021	0.012	0.181	0.3722	0	E2TTS	dc14db95f7de312474b3eb07a05a56de885c35e0	44	5347588
10	memeviss / zombie1000-VIP_4	0.016	0.009	0.197	0.4878	0	E2TTS	a8c3ca2b478330cb372c59ff70b37945529eb59c	38	5361783
11	memevis / der9	0.016	0.009	0.332	0.4829	0	E2TTS	6b2fa1a23bf41c5ff10cde1959c59599146cd63d	113	5358199
12	memevis / bigone10	0.016	0.009	0.466	0.4815	0	E2TTS	33b95e3313ef3cfd93f4c4d177fc03955eec8e6a	80	5350983
13	memeviss / zombieVIP_9	0.014	0.008	0.156	0.454	0	E2TTS	41b595a03cc0008a5ca88fa72105162cac11c85a	48	5357979
14	memeviss / zombieVIP_2	0.012	0.006	0.734	0.3985	0	E2TTS	e48082a0fe0ea35977c13a43ac402d06eafff506	224	5357927
15	memeviss / py_7	0.008	0.004	0.173	0.4675	0	E2TTS	05f659740f03815099c8b68993261aa25d8e42f1	220	5351144
16	memeviss / dTb_2	0.004	0.002	0.148	0.4691	0	E2TTS	077396f532bd7e720da81f6b2ba7d79bc6d34a19	136	5347401
17	memeviss / TTS-MAX_8	0.004	0.002	0.235	0.4779	0	E2TTS	818564d756548dd5d5bf2f5e1e867e96c2b1ec47	82	5335491
18	memeviss / py_3	0.003	0.002	0.184	0.4673	0	E2TTS	a881992265ffa4f608abdc95062d7b9c5f538056	194	5351109
19	memevis / zombie9000	0.002	0.001	0.706	0.4691	0	E2TTS	f3f741fd012ad593fb020cc94ba6c774c5f7dea8	208	5369235
20	Primeness / luckyA3v12	0.002	0.001	0.212	0.05	0	E2TTS	4d5d5deb04e605a6b00159781ccce28a0c08c2a6	223	5269644
21	memeviss / lvl_6	0	0	0.135	0.3349	0	E2TTS	27204b837877b5a33e9e669e2e0ff9d5705fd7b6	163	5347079
22	memeviss / zombie1000-VIP_3	0	0	0.405	0.4408	0	E2TTS	e7079f4f7c21a5c04d170a9bfe264a877179bd17	39	5361769
23	memeviss / zombie1000-VIP_1	0	0	0.669	0.4223	0	E2TTS	cc1dc2c005e3f051f18b8e595d3a0f8103191f6a	246	5361747
24	memeviss / noneSSS_2	0	0	0.325	0.4963	0	E2TTS	42bb6e00f7d00bd368ab602f71278fe135ab7b51	147	5372362
25	memevis / der2	0	0	0.539	0.4653	0	E2TTS	aaf587a281950ac2fee0e778a2b799913b9f14f6	120	5354981
26	memeviss / zombie1000-VIP_5	0	0	0.223	0.4922	0	E2TTS	7d960175ffa9127b9c4a11f4ccbe0fe1b8ef7eb8	37	5361787
27	memeviss / PIl_6	0	0	0.14	0.485	0	E2TTS	babfb43d8fb585a682cd60b4e02dca68fa2d44e1	4	5365244
28	memeviss / zombieVIP_8	0	0	0.282	0.4946	0	E2TTS	86fad0ba0376629753479aee6b860284bc5c5c05	253	5357975
29	memeviss / py_5	0	0	0.149	0.3693	0	E2TTS	49317433f402f93f8e8c47460bb545af19801bda	195	5351117
30	memevis / pik0	0	0	0.15	0.4381	0	E2TTS	5eee6f5d4459bf2bab853b1e9407b3a9b53faac2	169	5361708
31	memeviss / gt_1	0	0	0.253	0.381	0	E2TTS	1b388513bd93d6576a54e2e91185fb3a982faa2f	133	5351320
32	memevis / zombie4000	0	0	0.202	0.4977	0	E2TTS	35824a5304ef3d79559b703361a15898bb6e483b	118	5363375
33	memeviss / ider_5	0	0	0.297	0.4753	0	E2TTS	251edf5bf575a083763ef7f90f798e5d41a6708c	202	5349193
34	memevis / der1	0	0	0.32	0.3946	0	E2TTS	0580f8779a9efad5375065233e7d333764a58a68	68	5347576
35	memeviss / py_2	0	0	0.654	0.3559	0	E2TTS	da3619cc2584bde1281594d3ed485610b8bceef3	197	5351108
36	memevis / der11	0	0	0.222	0.4491	0	E2TTS	098f1b6f378a293b4e00aee60412d7bf7c4bd908	249	5350390
37	memeviss / ider_9	0	0	0.164	0.4961	0	E2TTS	74c88aa066317f247560e439443fd880ce017269	199	5349211
38	Primeness / luckyA17v4	0	0	0.621	0.4949	0	E2TTS	40cc0687c6f79835fd5e39fdea95857076766390	218	5373349
39	memeviss / lvl_2	0	0	0.195	0.4694	0	E2TTS	7a57f7d7ce2b32df68c23cd71fbeb9a8c2d14ad5	142	5347046
40	memevis / pider12	0	0	0.252	0.0968	0	E2TTS	ab164b065ab1f6d7dc5b6da9dbd3d1e624fc0c5e	96	5301230
41	Primeness / luckyA17v5	0	0	0.213	0.4976	0	E2TTS	e85c2ba270bd774acb0d065812440c9e22451152	90	5373394
42	memevis / der12	0	0	0.171	0.3894	0	E2TTS	1ceb45c99a42d9fd6a0f70a329c36e6856cbf68c	20	5350343
43	memeviss / noneS_5	0	0	0.375	0.4955	0	E2TTS	ad38f4c6f1ef18f8eeae2dfebde6bfc45d455e94	66	5370526
44	Primeness / luckyA16v32	0	0	0.178	0.4897	0	E2TTS	cc7365bf12ad9603ec8b3f3449e0899e8ed19c14	241	5365700
45	memevis / der6	0	0	0.229	0.3931	0	E2TTS	5ee96dad900443b80040fcfa94850d4445e2ca01	60	5349842
46	memeviss / dTb_3	0	0	0.33	0.4792	0	E2TTS	81082a5994842c54de2ea4625f4c6432fdbc3e33	135	5347406
47	impossibleexchange / t0	0	0	0.221	0.4858	0	E2TTS	99b950a60411821243e878b3961116fc3da574e8	98	5372244
48	memevis / zombie101	0	0	0.314	0.4819	0	E2TTS	036f56ba9d00146dac24594380942b299be13f25	170	5370051
49	memeviss / bigone_8	0	0	0.167	0.489	0	E2TTS	15fddc021fb6c0c7eaf0615c7472a1060fdabc6d	228	5354584
50	memeviss / noneSSS_4	0	0	0.361	0.4946	0	E2TTS	7bf296cd3df20ae68ee1818270e3a8da2687ee10	106	5372373

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