Queen v7 “empress” — Crawlnet

A small language model trained from scratch. Pretraining data: pages the Crawlnet crawlers read on the crypto web (real browsers; 72% of the tokens trained), public market, funding and on-chain records written out as plain-text pages (3%), study notes a general-purpose LLM wrote for 183,105 of those pages (20%) and question/answer pairs a general-purpose LLM generated from those pages (6%); details in Pretraining data below. Tokenizer: an earlier Queen's, reused unchanged (trained on that version's pages only). No pretrained weights, no FineWeb, no other corpus. Chat tuning: question/answer pairs generated by a general-purpose LLM from those pages, pairs cut from the pages and the same pairs with their page in front of the question (details below).

version 7 (queen-v7)
parameters 1384.1M total, 729.8M non-embedding
architecture nanochat GPT, depth 24, width 1536, 12 heads, context 2048, vocab 32768
code karpathy/nanochat @ 92d63d4e8bb4 (MIT) + crawlnet training/
dataset 871,800 pages exported 2026-10-21T11:10:18.050Z + 45,664 pages of records-v3 (exported 2026-10-06T11:30:18.157Z) + 944 pages of trench-v7 (exported 2026-10-21T12:10:38.045110+00:00); after cleaning 616,158 pages: 570,529 crawler pages from 18772 domains + 45,629 record pages
dataset manifest sha256 aee77ec42b599375d1b7291e2d2e18b470e2f6141176792fa0cffc002abf5d4e; records-v3: ed71dc6d01aa9e70b26e079fcb6b42bdc12cba849a21ad9028d243deeff67c49; trench-v7: 9ebef0030ba1fa24c302383d25c45863695c521fa379d21e97e820c567cfa997
pretraining mix crawler pages 72%, record pages 3%, study notes written by a general-purpose LLM 20% and Q&A pairs generated by a general-purpose LLM 6% of the 2,532,249,995 tokens trained (see Pretraining data)
unique training tokens 1,136,801,027: crawler pages 850,016,377, record pages 22,040,733, study notes 227,325,419, generated Q&A pairs 37,418,498 (each document counted once; +21,543,402 held out)
tokens trained 2,400,714,752: the released weights are the checkpoint at step 4,579 of 4,829 of a pass over the prepared stream (2,531,786,752 tokens, 3.47 per non-embedding param)
tokenizer BPE, 32768 tokens, an earlier Queen's, reused unchanged (trained on that version's pages only)
validation loss 0.7637 bits/byte on the pages of 468 held-out sites, never trained on (pretraining; earlier versions held out other pages, so their numbers do not compare)
chat tuning (SFT) synthetic+openbook: 62,216 question/answer pairs generated by a general-purpose LLM from 19,405 of 853,118 page chunks (2%; crawler pages and record pages), plus the pairs cut from the pages. The generator was told to use only facts on each page, and a pair whose key words are not on its page was dropped, but its wording is in this model's chat behaviour. headings: 1,966,130 question/answer pairs cut out of the crawler pages themselves (FAQ questions found on pages, page headings, page titles; answers are verbatim page text). No external model was used. The only human-written words are six fixed question templates such as "Tell me about {heading}." Open book: the generated pairs were also trained once more with the page text they were written from in front of the question (52,555 conversations, 32% with a second page the search ranked high for the same question), so she can answer from the pages retrieved for a question.
compute 4x RTX PRO 6000 (rented), 9.631 h wall, 38.524 GPU-hours
weights https://huggingface.co/Crawlnet/queen-v7

Pretraining data

part what unique tokens tokens trained share
crawler pages 746,831 chunks of the crawled pages, 1-4 passes by a quality label (61,721 chunks it rated junk were not trained) 850,016,377 1,819,665,513 71.9%
record pages 45,629 record pages written from public records (4 passes), 172,920 rewordings of them (2 passes), their fields as Q&A at the end of pretraining; templates, no LLM 22,040,733 72,154,884 2.8%
study notes an explanation, an FAQ, a list of facts and entities and a Q&A list for 183,105 pages, written by a general-purpose LLM from that page; explanation, FAQ and facts 2, Q&A 3 passes 227,325,419 498,800,450 19.7%
generated Q&A pairs 965,352 question/answer pairs a general-purpose LLM generated from crawler pages and record pages for an earlier Queen's chat tuning, in Q&A documents: 1 passes, then regrouped in other Q&A formats at the end of pretraining 37,418,498 141,629,148 5.6%
total 1,136,801,027 2,532,249,995 100%

Unique tokens: every document trained at least once, counted once (with its BOS token and source line). Tokens trained: every pass of it, plus the Q&A documents regrouped for the end of pretraining. The run trained 4,829 steps of 524,288 tokens = 2,531,786,752 of the stream's 2,532,249,995. The released weights are the step-4,579 checkpoint: they saw the first 95% of it (the counts above are the whole stream).

Contributors

Queen v7 was trained on pages found by these crawlers. Owners spawned theirs by burning $CRAWLNET; the wallets are the ones that made the burn, public on-chain. Since 9 Oct 2026 every crawl.md NFT is a crawler of its own: its pages are credited to the wallet that holds the NFT (its credits name when one is set).

crawler owner pages tokens
e02 AcUm…vLRa (burn) 1,086 2,841,474
sparsity GZUQ…F59x (burn) 1,158 2,408,516
ch0pper H8iW…VE3N (burn) 1,095 2,370,296
ghero6 FcEE…Cin4 (burn) 988 2,325,465
needmorecrawls 4rif…jxnZ (burn) 902 2,295,369
spiderman 5WKN…Meic (burn) 1,128 2,279,633
ghero5 FcEE…Cin4 (burn) 1,085 2,277,798
crawlzilla 3dmq…dLBC (burn) 1,105 2,272,714
spiderman 5WKN…Meic (burn) 1,115 2,259,665
spiderman 5WKN…Meic (burn) 1,108 2,245,922
ch0pper2 H8iW…VE3N (burn) 1,059 2,230,029
blackandwhitedogs 2eek…pBky (burn) 1,110 2,229,808
pp 3JVm…Fsm4 (burn) 1,073 2,228,064
redacted003 BvVr…URcY (burn) 1,127 2,225,211
mrnakamoto 2eek…pBky (burn) 1,106 2,203,887
ghero1 FcEE…Cin4 (burn) 1,095 2,200,795
aze2 BX6f…WpEf (burn) 1,122 2,187,127
ghero10 FcEE…Cin4 (burn) 1,056 2,183,869
ghero4 FcEE…Cin4 (burn) 1,133 2,178,576
werkle-weaver 3api…NA9T (burn) 1,016 2,166,389
turtletheory ipMd…U4xb (burn) 1,029 2,146,290
fern 2eek…pBky (burn) 1,064 2,133,228
spiderman 5WKN…Meic (burn) 1,036 2,132,857
ghero2 FcEE…Cin4 (burn) 1,034 2,118,353
dash H2Lt…LbYp (burn) 1,033 2,112,339
near-weaver Br2o…hHFG (burn) 1,083 2,107,021
spiderman 5WKN…Meic (burn) 1,025 2,100,577
deez CDYb…2Xxv (burn) 1,113 2,073,464
test zero…PPUT (burn) 1,167 2,067,435
v4 GZUQ…F59x (burn) 1,080 2,064,815
jdubs 3v2K…GTgA (burn) 937 2,058,799
wilbur 2eek…pBky (burn) 1,036 2,045,756
manylegs ETgB…wfpa (burn) 1,023 2,014,439
orb-weaver 3Zgo…wfpF (burn) 915 2,013,588
1gjb AyXY…HcDw (burn) 955 1,996,359
benny 36ny…e6gG (burn) 1,002 1,993,936
pp 3JVm…Fsm4 (burn) 997 1,991,975
aze BX6f…WpEf (burn) 1,035 1,982,060
e04 AcUm…vLRa (burn) 942 1,979,465
ghero8 FcEE…Cin4 (burn) 1,021 1,968,424
redacted002 BvVr…URcY (burn) 982 1,963,928
onepellegrino 2eek…pBky (burn) 995 1,909,456
littledog 2eek…pBky (burn) 1,115 1,904,110
ruso 4rif…jxnZ (burn) 1,032 1,900,253
jack Diu8…atMh (burn) 999 1,894,494
onaizahparisnajd 4KZT…HerD (burn) 784 1,890,051
41n EXTV…831R (burn) 877 1,887,109
web-reaper Krrc…fSaT (burn) 1,031 1,886,306
seig 4gtD…rJMz (burn) 925 1,878,808
morelegs ETgB…wfpa (burn) 1,069 1,874,398
bigdog 2eek…pBky (burn) 1,110 1,871,243
aspen 41CL…Q9fU (burn) 882 1,861,343
007 ipMd…U4xb (burn) 848 1,861,293
onaizahparisnajd 4KZT…HerD (burn) 794 1,857,060
octangone01 G64q…5PiU (burn) 975 1,852,333
smokie 8kwY…JY7G (burn) 1,091 1,848,315
sneaky 6yNt…iikJ (burn) 925 1,847,849
ghero9 FcEE…Cin4 (burn) 1,012 1,845,639
swolecrawls F3QF…Dfrs (burn) 1,029 1,840,659
elevatd 3MRp…31K7 (burn) 922 1,835,091
page-pounder Extb…VrFG (burn) 932 1,826,879
aze5 BX6f…WpEf (burn) 873 1,812,640
crawlzilla-2 3dmq…dLBC (burn) 901 1,810,377
redacted BvVr…URcY (burn) 739 1,809,502
lmaocry H6GW…Hmdr (burn) 959 1,808,090
ghero3 FcEE…Cin4 (burn) 1,029 1,798,583
canis FUy5…cjoG (burn) 886 1,780,956
snoopdog DRmh…ow3V (burn) 906 1,775,964
denn2 CQFL…PBVr (burn) 676 1,763,777
e05 AcUm…vLRa (burn) 879 1,763,612
weaver F5Vd…3hVn (burn) 957 1,746,655
wei001 9ptc…3LbM (burn) 622 1,738,553
41n EXTV…831R (burn) 934 1,734,603
callme H5y3…BR5q (burn) 706 1,730,810
charlotte 2eek…pBky (burn) 973 1,730,337
kk143 8PRb…2Ufe (burn) 902 1,719,191
spiderman 5WKN…Meic (burn) 941 1,716,894
mr-tenacious2 CQoH…u668 (burn) 487 1,715,806
warm 6TAx…SE4b (burn) 987 1,714,877
addu 4gff…ksBn (burn) 742 1,714,808
vinland 3cSP…oYeU (burn) 1,012 1,713,979
spiderman H8iW…VE3N (burn) 1,046 1,706,758
spiderman FGyn…UuQt (burn) 961 1,706,628
redacted001 BvVr…URcY (burn) 968 1,701,508
yancy DPXE…XNqJ (burn) 1,012 1,694,464
smokiev2 8kwY…JY7G (burn) 1,009 1,694,270
peterparker AbMD…52T4 (burn) 1,000 1,688,284
gummy 8zqX…Gv6M (burn) 758 1,686,513
onaizahparisnajd 4KZT…HerD (burn) 724 1,685,712
ruso-2 4rif…jxnZ (burn) 832 1,682,515
weenis 36ny…e6gG (burn) 917 1,679,783
spy 8zQb…eogQ (burn) 956 1,672,472
cash H2Lt…LbYp (burn) 866 1,671,585
grand-cou FGcD…k1Dc (burn) 908 1,662,500
e03 AcUm…vLRa (burn) 868 1,655,404
aze4 BX6f…WpEf (burn) 882 1,649,712
e01 AcUm…vLRa (burn) 979 1,641,154
redacted BvVr…URcY (burn) 741 1,640,810
babushka Cj9h…Cf4C (burn) 1,000 1,632,775
oreocakester 36ny…e6gG (burn) 1,003 1,619,968
redacted BvVr…URcY (burn) 723 1,619,463
jeff 81Y8…GXSt (burn) 1,036 1,616,288
gg 4gff…ksBn (burn) 712 1,615,835
aze3 BX6f…WpEf (burn) 878 1,615,468
onaizah 4KZT…HerD (burn) 833 1,603,109
ghero7 FcEE…Cin4 (burn) 1,001 1,598,877
redacted BvVr…URcY (burn) 700 1,592,832
gigachadfuru AbMD…52T4 (burn) 935 1,574,446
redacted BvVr…URcY (burn) 781 1,557,069
chungus-spawn H7oG…CsLj (burn) 883 1,544,668
redacted BvVr…URcY (burn) 776 1,535,558
wei009 9ptc…3LbM (burn) 661 1,524,919
son-of-chungus H7oG…CsLj (burn) 853 1,522,031
wei004 9ptc…3LbM (burn) 635 1,519,572
redacted BvVr…URcY (burn) 733 1,516,385
aze6 BX6f…WpEf (burn) 821 1,506,667
redacted BvVr…URcY (burn) 672 1,496,206
onaizahs-kids 4KZT…HerD (burn) 740 1,494,502
onaizahparisnajd 4KZT…HerD (burn) 783 1,490,018
tarantula BkPa…YiMW (burn) 903 1,485,618
onaizahparisnajd 4KZT…HerD (burn) 812 1,483,288
redacted BvVr…URcY (burn) 737 1,476,287
onaizahparisnajd 4KZT…HerD (burn) 651 1,468,730
creepycrawly 3v2K…GTgA (burn) 723 1,450,864
9ballshooter APM9…89Nm (burn) 718 1,445,315
wei001 9ptc…3LbM (burn) 714 1,444,907
onaizahparisnajd 4KZT…HerD (burn) 708 1,438,942
scorpion BkPa…YiMW (burn) 453 1,431,881
onaizahparisnajd 4KZT…HerD (burn) 714 1,410,690
onaizahparisnajd 4KZT…HerD (burn) 735 1,406,739
matrix-multiplier 6s1H…36Jg (burn) 715 1,397,924
onaizahparisnajd 4KZT…HerD (burn) 733 1,385,425
goatishere2 58pZ…waHQ (burn) 710 1,384,575
smokiev3 8kwY…JY7G (burn) 868 1,378,503
wakeme H5y3…BR5q (burn) 697 1,354,283
onaizahparisnajd 4KZT…HerD (burn) 724 1,352,619
wei005 9ptc…3LbM (burn) 658 1,350,602
onaizahparisnajd 4KZT…HerD (burn) 691 1,344,973
onaizahparisnajd 4KZT…HerD (burn) 702 1,343,410
redacted BvVr…URcY (burn) 749 1,340,425
redacted BvVr…URcY (burn) 777 1,340,361
onaizahparisnajd 4KZT…HerD (burn) 694 1,321,655
onaizahparisnajd 4KZT…HerD (burn) 676 1,317,940
redacted BvVr…URcY (burn) 721 1,308,633
onaizahparisnajd 4KZT…HerD (burn) 711 1,303,781
wei010 9ptc…3LbM (burn) 669 1,301,822
redacted BvVr…URcY (burn) 719 1,297,798
neet2 8X78…cmmd (burn) 613 1,296,591
history G8zB…gepY (burn) 658 1,290,873
laquisha 3v2K…GTgA (burn) 647 1,286,596
9ballshooter APM9…89Nm (burn) 630 1,282,263
gg 4gff…ksBn (burn) 706 1,269,270
widowmaker GRjD…spY8 (burn) 706 1,257,108
wei007 9ptc…3LbM (burn) 624 1,256,040
onaizahskdis 4KZT…HerD (burn) 667 1,244,399
gg 4gff…ksBn (burn) 689 1,235,337
wei002 9ptc…3LbM (burn) 575 1,228,579
onaizahparisnajd 4KZT…HerD (burn) 650 1,220,304
kaiyo 4gff…ksBn (burn) 748 1,219,976
redacted BvVr…URcY (burn) 729 1,193,770
neet1 8X78…cmmd (burn) 656 1,192,041
redacted BvVr…URcY (burn) 702 1,172,449
lost-again sZWt…NVmN (burn) 513 1,167,484
funnelweb1 DmsF…uvrF (burn) 707 1,157,949
onaizahparisnajd 4KZT…HerD (burn) 663 1,150,663
charl0tte Ftgb…9DWW (burn) 730 1,149,959
onaizahparisnajd 4KZT…HerD (burn) 642 1,149,942
bimboboy 58pZ…waHQ (burn) 684 1,143,961
onaizahparisnajd 4KZT…HerD (burn) 713 1,143,157
goatishere 58pZ…waHQ (burn) 626 1,117,291
wei006 9ptc…3LbM (burn) 610 1,111,617
denn CQFL…PBVr (burn) 729 1,107,909
wei008 9ptc…3LbM (burn) 607 1,102,286
venom Auqo…eajz (burn) 445 1,091,559
redacted BvVr…URcY (burn) 619 1,085,979
redacted BvVr…URcY (burn) 636 1,083,711
jeff2 81Y8…GXSt (burn) 576 1,058,284
snaiduwa 4KZT…HerD (burn) 474 1,038,302
onaizahparisnajd 4KZT…HerD (burn) 596 1,023,916
mr-tenacious CQoH…u668 (burn) 431 926,091
snaiduwa 4KZT…HerD (burn) 461 859,040
amazing-grace Chhk…W6uw (burn) 419 799,070
lost sZWt…NVmN (burn) 462 781,188
cabbage-merchant Chhk…W6uw (burn) 385 756,789
crypto-scammer Chhk…W6uw (burn) 270 588,251
crawl.md #0187, #0190, #0194, #0209, #0214, #0226 +74 2PfV…gnb6 107,265 167,633,309
crawl.md #0003, #0010, #0038, #0042, #0048, #0052 +14 redacted (BvVr…URcY) 28,685 45,747,360
crawl.md #0011, #0014, #0015, #0016, #0076, #0091 +14 ghero (FcEE…Cin4) 16,395 25,049,808
crawl.md #0189, #0213, #0342, #0355, #0365, #0528 +7 GyJV…UZVs 15,499 24,024,461
crawl.md #0036, #0040, #0087, #0102, #0117, #0123 +4 9ptc…3LbM 12,760 19,779,504
crawl.md #0142, #0299, #0434, #0459, #0553, #0699 +5 E5tZ…suX7 12,582 19,679,442
crawl.md #0022, #0127, #0144, #0166, #0833, #0893 +1 smokies (9JrE…K9du) 11,502 17,335,373
crawl.md #0065, #0113, #0205, #0439, #0536, #0585 +3 8NTR…JHtx 7,972 12,730,084
crawl.md #0329, #0375, #0852, #0882, #0892 HkWW…DEki 8,226 12,672,742
crawl.md #0061, #0063, #0135, #0159, #0178 4gff…ksBn 7,575 11,940,488
crawl.md #0001, #0013, #0058, #0066, #0116, #0121 +89 1BWu…NDix 7,374 10,481,814
crawl.md #0021, #0286, #0768, #0965 8VfP…iRdZ 5,707 9,264,077
crawl.md #0480, #0506, #0598 DruL…sxJZ 5,441 8,135,498
crawl.md #0533, #0563, #0624, #0668 degen (EaY6…QWJd) 4,950 8,092,596
crawl.md #0060, #0163, #0940 GZUQ…F59x 4,847 7,773,892
crawl.md #0108, #0150, #0199, #0697 FBX8…DvvN 4,999 7,746,866
crawl.md #0149, #0463, #0574 zXzM…q2zW 4,867 7,638,722
crawl.md #0030, #0156, #0915 GhiG…3YTf 5,095 7,549,421
crawl.md #0056, #0715, #0887 H3cP…CLfE 4,691 7,526,312
crawl.md #0130, #0781, #0904 Dyr8…49zo 4,729 7,227,784
crawl.md #0019, #0023, #0024 benny (36ny…e6gG) 4,721 7,059,680
crawl.md #0429, #0507, #0539, #0571, #0644, #0766 +6 B41i…Dywj 4,316 7,047,341
crawl.md #0006, #0723 spiderman (FGyn…UuQt) 3,551 6,047,201
crawl.md #0175, #0177, #0266, #0341, #0407, #0454 +6 freedl21 (Chhk…W6uw) 3,378 5,792,825
crawl.md #0648, #0823, #0999 F6TX…3sAZ 3,542 5,441,057
crawl.md #0012, #0020 APM9…89Nm 3,311 5,436,935
crawl.md #0350, #0669 5iBb…WpG7 3,480 5,422,968
crawl.md #0230, #0730 BePg…UsPk 3,209 5,259,213
crawl.md #0673, #0742 Gvug…yd5J 3,397 5,035,100
crawl.md #0139, #0155 ETgB…wfpa 3,355 4,985,903
crawl.md #0005, #0029, #0033 6ruU…Tebr 3,096 4,964,614
crawl.md #0458, #0575 5CX3…i9Mk 3,020 4,948,661
crawl.md #0082, #0885 9vXj…wCUM 3,118 4,908,175
crawl.md #0197, #0861 8e4j…sz8m 3,180 4,654,758
crawl.md #0018, #0085 H5y3…BR5q 3,046 4,606,897
crawl.md #0009, #0046 EPDb…Jrxz 2,981 4,490,698
crawl.md #0035, #0569 0x1nine84 (3Zgo…wfpF) 2,601 4,357,838
crawl.md #0002, #0075, #0088, #0282 diyar (H8iW…VE3N) 2,672 4,200,387
crawl.md #0138, #0298, #0535, #0577, #0670, #0678 +3 scorpionking (Ftgb…9DWW) 2,439 4,179,591
crawl.md #0057 tar0ntuluh (BkPa…YiMW) 1,635 3,128,872
crawl.md #0028 widowmaker (GRjD…spY8) 1,822 2,992,601
crawl.md #0025, #0913 octangone (G64q…5PiU) 1,828 2,870,748
crawl.md #0077, #0842 BFhn…8pBp 1,759 2,763,537
crawl.md #0323 crawly (Extb…VrFG) 1,823 2,763,027
crawl.md #0786, #0799, #0829 Ez5c…zz6i 1,501 2,748,353
crawl.md #0455, #0906 95zk…FyGF 1,776 2,715,804
crawl.md #0239, #0337, #0447, #0880 GKw3…x9vJ 1,550 2,630,063
crawl.md #0683 themonarch (3kvL…Hi2e) 1,516 2,603,026
crawl.md #0520 51BY…1vrb 1,670 2,597,366
crawl.md #0802 param (CnnY…tB9H) 1,457 2,511,170
crawl.md #0064 5TYk…wwp7 1,761 2,489,826
crawl.md #0039 grand_cou (FGcD…k1Dc) 1,635 2,485,842
crawl.md #0744, #0916 kk007 (8PRb…2Ufe) 1,684 2,485,687
crawl.md #0106, #0289, #0411, #0423, #0511, #0680 +5 VFo5…RX4N 1,730 2,478,981
crawl.md #0059 9S69…NND6 1,674 2,399,440
crawl.md #0662 3Hua…a2hf 1,623 2,361,699
crawl.md #0231 jeremy (4weP…ovpg) 1,231 2,287,987
crawl.md #0169 beiji (DPXE…XNqJ) 1,571 2,267,428
crawl.md #0271 9ujd…YDRN 1,606 2,187,291
crawl.md #0354 8c27…rhKt 1,504 2,168,819
crawl.md #0582 5xxd…4Hyn 1,596 2,167,599
crawl.md #0044 Krrc…fSaT 1,293 2,123,195
crawl.md #0438 7Z3E…CJ5N 1,404 2,120,320
crawl.md #0101 2Z6q…KDLh 1,443 2,068,816
crawl.md #0841 4SLj…Tcam 1,285 1,943,886
crawl.md #0758, #0857, #0864 3QLX…Uehk 1,071 1,883,765
crawl.md #0008, #0154 81Y8…GXSt 1,254 1,874,014
crawl.md #0069, #0180 gaps (Gopm…Xd3d) 1,066 1,765,642
crawl.md #0952 FU8j…PLan 748 1,480,368
crawl.md #0303 Br2o…hHFG 928 1,424,202
crawl.md #0129 H95P…FT64 754 1,359,366
crawl.md #0195, #0263, #0269, #0274, #0308, #0340 +13 GGJm…k2RT 936 1,209,166
crawl.md #0849 DeFh…RFMG 596 1,110,273
crawl.md #0920 GjfU…5SuD 630 1,091,131
crawl.md #0745 CTQG…YhWA 607 1,034,687
crawl.md #0554, #0907 8Pu1…NNTj 676 1,017,418
crawl.md #0801 6NQN…mFp3 697 914,838
crawl.md #0294, #0478, #0590, #0694, #0700, #0817 +1 EiU7…YFy5 630 808,010
crawl.md #0416 7eJv…DwML 407 791,501
crawl.md #0234, #0334 G3eh…zjak 431 711,306
crawl.md #0602 Gmfc…s5pq 489 708,570
crawl.md #0238, #0245, #0775, #0812, #0900 2Mfp…Zdk6 441 684,181
crawl.md #0484 twojeyss (D7Sc…T3Np) 436 665,064
crawl.md #0844 bk201 (GBwm…k3Bf) 389 614,997
crawl.md #0763 CMST…9M1L 397 566,750
crawl.md #0800 5JqF…n98K 448 546,383
crawl.md #0405, #0748 4P9z…cvQS 414 506,069
crawl.md #0115, #0330, #0421, #0518, #0608, #0685 +2 E7Yx…oT2n 264 440,494
crawl.md #0345 3hps…hXoj 309 387,780
crawl.md #0037, #0051, #0073, #0084, #0086, #0089 +17 4KZT…HerD 206 278,997
crawl.md #0646 Hc15…Pvb7 109 215,765
crawl.md #0208, #0385, #0495, #0504, #0532, #0754 +10 4jWX…557S 111 150,807
crawl.md #0241, #0258, #0270, #0402, #0499, #0513 +7 CfgU…8FZs 86 130,459
crawl.md #0100, #0119, #0133, #0148, #0168, #0265 +9 FMWj…FTqx 107 114,503
crawl.md #0304, #0324, #0356, #0360, #0462, #0530 +4 6bd4…iRDs 81 109,813
crawl.md #0312, #0336, #0460, #0626, #0687, #0846 +1 5CoY…htKh 60 95,395
crawl.md #0232, #0310, #0433, #0456, #0470, #0493 +4 B8hW…qwLk 72 94,392
crawl.md #0300, #0318, #0364, #0420, #0500, #0552 +4 44eJ…sqTK 77 92,245
crawl.md #0290, #0371, #0374, #0483, #0546, #0567 +4 2XC4…XWTf 62 89,359
crawl.md #0198, #0386, #0387, #0410, #0578, #0588 +4 CYHX…ijmh 82 88,762
crawl.md #0223, #0314, #0362, #0366, #0399, #0404 +4 JAzC…nMHo 80 88,517
crawl.md #0242, #0288, #0372, #0403, #0452, #0522 +4 qKnV…himJ 78 87,554
crawl.md #0251, #0259, #0346, #0441, #0489, #0595 +4 2Sz3…psnM 72 82,358
crawl.md #0096, #0236, #0392, #0436, #0468, #0494 +3 G8zB…gepY 65 80,916
crawl.md #0196, #0442, #0635, #0752, #0804, #0815 +4 DQU5…GxHo 62 76,712
crawl.md #0031, #0068, #0078, #0079, #0099, #0132 +2 2eek…pBky 57 75,967
crawl.md #0211, #0343, #0487, #0526, #0632, #0747 BBmP…Q9R7 49 75,949
crawl.md #0305, #0311, #0327, #0467, #0529, #0666 +4 H9no…XLmM 77 73,529
crawl.md #0254, #0396, #0408, #0430, #0453, #0550 +4 9Y8p…YsZ5 74 72,214
crawl.md #0277, #0283, #0315, #0349, #0400, #0491 +4 CGPJ…JTxv 76 72,020
crawl.md #0225, #0368, #0440, #0449, #0473 4MXL…8x6R 45 69,310
crawl.md #0428, #0534, #0696, #0855 A3Rz…dy6i 33 63,903
crawl.md #0514, #0782 2h7N…bmzB 21 55,926
crawl.md #0233, #0414, #0431, #0716, #0762, #0910 +1 G9hJ…WPCF 58 55,833
crawl.md #0257, #0317, #0369, #0384, #0481, #0497 +1 7gPi…FtFP 49 54,881
crawl.md #0004, #0007, #0050, #0128, #0134 AcUm…vLRa 34 52,543
crawl.md #0278, #0401, #0675, #0869, #0975 EEeu…4Zcp 32 51,740
crawl.md #0380, #0451, #0482, #0496, #0663, #0734 FxQY…ndrq 44 50,160
crawl.md #0111, #0179, #0227 EXTV…831R 28 50,060
crawl.md #0891 9nuB…4Na7 43 49,890
crawl.md #0295, #0977 2Zai…xShi 11 49,769
crawl.md #0249, #0264, #0272, #0388, #0657, #0664 EKAp…2Dbx 48 47,443
crawl.md #0466, #0579, #0601, #0749, #0875 donk…S79D 32 43,787
crawl.md #0268, #0573, #0709, #0785, #0926 E7Bn…8Pr8 39 43,732
crawl.md #0285, #0338, #0358, #0725, #0779, #0935 +1 8WxS…HdHu 41 40,880
crawl.md #0450, #0600, #0659, #0740, #0858 2agn…HHvi 41 37,959
crawl.md #0252, #0558, #0568, #0689, #0948 2LoK…i22S 31 36,028
crawl.md #0229, #0373, #0479 7Bba…3UZG 26 34,061
crawl.md #0293, #0562, #0896 8EAa…Nja3 23 33,424
crawl.md #0501, #0651, #0679, #0949 oUSh…P9uY 32 33,059
crawl.md #0216, #0443, #0556, #0684 3cc9…mGvL 31 31,621
crawl.md #0192, #0359, #0464, #0512, #0596 FonW…tnUs 35 31,334
crawl.md #0406, #0465, #0549, #0772 Busf…EwAy 31 30,217
crawl.md #0017, #0094, #0118 3v2K…GTgA 27 30,052
crawl.md #0281, #0791, #0803 EYTo…L6nW 19 28,983
crawl.md #0201 3da8…wQk9 11 28,639
crawl.md #0306, #0621, #0862 Dx9B…QiXs 24 28,101
crawl.md #0188, #0544 Gee7…chGW 19 28,031
crawl.md #0488, #0928 4DZc…mxSU 12 27,782
crawl.md #0202, #0720 EXL1…Y1E3 21 25,937
crawl.md #0721, #0838 FWNB…vXuX 15 25,304
crawl.md #0516, #0746 3mWh…Yx6J 17 23,677
crawl.md #0328, #0587 Czcj…NGE4 22 23,477
crawl.md #0344, #0711, #0736 2Jch…fKPf 20 23,281
crawl.md #0253, #0280, #0347 8631…CrnH 23 22,962
crawl.md #0971 8WDw…CusX 9 22,115
crawl.md #0531, #0818, #0968 3arh…ZUwx 21 22,018
crawl.md #0427 j2PN…pgS2 9 21,578
crawl.md #0320, #0770, #0830 4bZu…KZPe 22 21,424
crawl.md #0472, #0966, #0984 DXcK…ocDU 22 20,513
crawl.md #0474 Ejhr…avvC 9 19,962
crawl.md #0131, #0145 H7oG…CsLj 12 19,834
crawl.md #0561 2URk…JPyw 8 19,611
crawl.md #0847, #0925 6akz…Gxwz 13 18,393
crawl.md #0313, #0759 BoAw…rCDd 13 18,112
crawl.md #0297, #0581 9y2b…BePp 10 17,352
crawl.md #0650 4TNp…Ue7k 9 17,015
crawl.md #0207, #0991 8VnD…647N 13 16,512
crawl.md #0146 9LHW…3SnC 11 15,344
crawl.md #0206 EcvX…7wMW 11 15,210
crawl.md #0445 Anh4…YLfz 10 15,127
crawl.md #0262, #0570, #0743 Az8K…rHoD 15 14,774
crawl.md #0210, #0825 61r1…stE2 15 14,270
crawl.md #0790, #0888 CK1t…cESP 12 14,180
crawl.md #0333, #0686 8ru6…q1rf 11 13,943
crawl.md #0151 4gtD…rJMz 11 13,657
crawl.md #0125 8yCb…MtGJ 8 13,558
crawl.md #0352 7DM7…9N4z 10 13,417
crawl.md #0322, #0335 6qcp…d8C6 15 13,064
crawl.md #0525 DDqg…hf5L 6 12,965
crawl.md #0339 2HRg…uCCA 11 12,707
crawl.md #0351 CbZZ…XYDN 11 12,375
crawl.md #0419, #0883 5tUz…nEir 15 12,297
crawl.md #0275 HcDK…ZSFq 10 11,950
crawl.md #0235 Aqhm…pJKv 7 11,917
crawl.md #0193, #0898 3gpv…kijc 13 11,825
crawl.md #0222 4F4U…kX7K 11 11,702
crawl.md #0733, #0884 Co1D…5nXF 13 11,461
crawl.md #0394, #0424 7zau…AL21 8 11,033
crawl.md #0778 69EA…7zV7 8 10,983
crawl.md #0543 6JgF…bgJX 7 10,895
crawl.md #0081 4evy…prqo 8 10,864
crawl.md #0174 2J56…7YSN 9 10,717
crawl.md #0319 3BpL…BhFX 6 10,529
crawl.md #0267 3eYv…RQNR 7 10,420
crawl.md #0353 9nx6…52xN 8 10,236
crawl.md #0309 A325…GCNK 8 10,224
crawl.md #0616 AA3q…CzBe 11 10,114
crawl.md #0979 69rY…fWB1 10 9,820
crawl.md #0248 espiritu (GN59…eXpg) 8 9,800
crawl.md #0625 ELxW…N5wi 8 9,776
crawl.md #0173 8hkz…y3sD 9 9,594
crawl.md #0580 8UUK…XpCZ 9 9,588
crawl.md #0870, #0944 HF3w…PFuL 10 9,547
crawl.md #0959 45Nf…TkD4 5 9,140
crawl.md #0261, #0972 4WU6…eCXn 11 9,103
crawl.md #0041 6AvQ…TNto 11 9,079
crawl.md #0255, #0863 Hsfb…SBEh 13 8,897
crawl.md #0246 3fAU…Wf72 6 8,864
crawl.md #0839 FQSf…8AsK 4 8,680
crawl.md #0485 3hpr…bzu3 10 8,648
crawl.md #0992 oErB…7WtC 6 8,646
crawl.md #0191, #0572 cmBw…n2xf 14 8,546
crawl.md #0413 2aKh…kbi6 9 8,514
crawl.md #0524 A3WF…Gbut 8 8,463
crawl.md #0287 Bidn…Qyyw 5 8,424
crawl.md #0186 CPhG…eiAq 9 8,357
crawl.md #0653 HuJL…PYk5 9 8,311
crawl.md #0425 Ayeg…YSoT 6 8,221
crawl.md #0776 8p9k…bmN2 5 8,212
crawl.md #0412 FJM3…VJPs 7 8,111
crawl.md #0382 G2ho…m9k2 9 8,072
crawl.md #0545 Gqjr…47dx 9 7,997
crawl.md #0212 VjyF…KHJK 9 7,694
crawl.md #0331 7BcQ…BtHi 8 7,626
crawl.md #0204 HduN…dugH 6 7,552
crawl.md #0378, #0899 2pga…maZL 13 7,484
crawl.md #0757 8R8C…LkpP 8 7,479
crawl.md #0469, #0777 5Ets…fCai 13 7,322
crawl.md #0924 DCVx…TdgW 6 7,233
crawl.md #0836, #0995 DEo7…HnQu 10 6,980
crawl.md #0989 Gdgz…RLZC 7 6,875
crawl.md #0398 EGTY…igLZ 7 6,871
crawl.md #0446 YxkQ…yaYC 8 6,747
crawl.md #0722 7nY1…44xQ 4 6,595
crawl.md #0363 Basv…8nQU 8 6,354
crawl.md #0243 HGrs…dxqb 6 6,144
crawl.md #0793 venom (Auqo…eajz) 4 6,127
crawl.md #0540 7i4o…9w57 6 6,114
crawl.md #0367 jn69…1G2E 10 5,898
crawl.md #0307 47xd…6MiH 7 5,897
crawl.md #0774 3Ryo…ct8B 7 5,357
crawl.md #0927 BRdu…6H6g 5 5,351
crawl.md #0542 BJby…sGo4 6 5,347
crawl.md #0260 C3o8…EyCk 9 5,331
crawl.md #0377 EBrv…9pk8 5 5,259
crawl.md #0973 56t2…qU7v 8 5,078
crawl.md #0045 69vq…oyKd 8 5,072
crawl.md #0756 FLL6…mtJY 8 4,874
crawl.md #0985 4FaJ…fVhS 5 4,848
crawl.md #0761 CciD…CvYX 6 4,664
crawl.md #0917 F6Xv…iN6F 7 4,661
crawl.md #0612 DwHC…aRdp 6 4,358
crawl.md #0631 3RaE…1fQe 8 4,285
crawl.md #0432 Fhge…hYiH 6 4,271
crawl.md #0809 4vaB…UE33 5 4,163
crawl.md #0688 BZFF…hDYE 6 4,091
crawl.md #0093 AyXY…HcDw 7 4,029
crawl.md #0877 9xRo…UHFF 4 4,010
crawl.md #0517 Gf53…HxL8 4 3,185
crawl.md #0988 B9gk…yTeK 3 3,065
crawl.md #0393 9AoQ…YYVH 5 2,498
the queen's own crawlers (11) — 11,525 20,470,674

Pages and tokens count what made it into this version's dataset after cleaning and dedupe. Machine-readable: contributors.json. The 45,629 record pages (see below) were not found by a crawler and are not in this table.

What went in besides crawler pages

  • The nanochat training code, architecture and hyperparameter rules (no weights, no data).
  • Six hand-written question templates used to turn page headings into questions (see SFT above).
  • Record pages: 45,629 pages, about 10,531,110 tokens, of public market, funding and on-chain records (projects and their funding rounds, investors, token unlocks and token facts, DeFi protocols, chains and stablecoins, DEX and on-chain token statistics), written out as plain text from public data. Only factual fields were kept: no third-party labels, ratings or risk scores, and no social-media posts. They are in the pretraining data, the tokenizer and the generated chat pairs; the pairs cut from page headings use crawler pages only.
  • Study notes: a general-purpose LLM was given 201,410 crawled pages and wrote study notes from each: an explanation, an FAQ, a list of facts and entities and a Q&A list. A fact checker dropped every item with a number, address, URL or ticker that is not on its page (20,026 items); no page of a held-out site was given to it, and 6,123 notes that matched a benchmark question were left out. The notes of 183,105 pages are in the pretraining data; their wording, and any mistake the checker could not catch, is in this model.
  • Generated Q&A pairs in pretraining: 965,352 question/answer pairs a general-purpose LLM generated from crawler pages and record pages for an earlier Queen's chat tuning, written as Q&A documents. 39,964 more (a fixed 2% of the questions and the earlier validation split) and 303 that matched a benchmark question never entered pretraining.
  • Chat-tuning question/answer pairs generated by a general-purpose LLM from crawler pages and record pages (see SFT above).
  • Nothing else. nanochat's default SFT mixture (SmolTalk, MMLU, GSM8K) and its CORE eval were switched off.

What it says

Fixed prompts, seeded sampling (temperature 0.7, top-k 50), unedited:

What is Bitcoin?

Bitcoin is a digital asset that uses cryptography to secure transactions and control the creation of new units. Unlike government-issued currencies, Bitcoin is not controlled by any central authority. Instead, it is distributed across a global network of computers, and miners provide the infrastructure that keeps the system running.

Who created Bitcoin?

Bitcoin was created in 2009 by a person using the pseudonym Satoshi Nakamoto. The name Satoshi Nakamoto is a pseudonym used by the anonymous creator of Bitcoin. The Bitcoin whitepaper was released in 2008 as a white paper published by Satoshi Nakamoto and released to the public in 2009. The Bitcoin network was made available for download by Satoshi Nakamoto in 2009. Bitcoin has a fixed supply of 21 million coins, which will be released by the Bitcoin protocol in 2140.

What is a blockchain?

A blockchain is a distributed ledger of records that can be used to record transactions. These records are maintained by peer-to-peer network participants, which are compensated for their work with rewards in the form of native cryptocurrency tokens.

Explain proof of work.

The proof of work system requires miners to search through random numbers in order to find a correct hash. This process involves making numerous iterations of a cryptographic algorithm, as well as checking if the output of the hash function is below a certain threshold. The difficulty of finding a hash that is below the threshold is adjusted every 2016 blocks based on the time taken to find the last 2016 blocks. For example, if the last 2016 blocks were found on August 15th, 2016, the difficulty would be adjusted to 150,000,000,000

Explain proof of stake.

The proof of stake (PoS) consensus engine has been developed to address the major issues with proof of work (PoW). PoS is a consensus mechanism invented by the American computer scientist and cryptographer, Sunny King, and it is the most popular consensus engine for the blockchain, such as the Bitcoin and Ethereum blockchains. The major issues with proof of work (PoW) are high energy expenditure and high hardware requirements.

What is Ethereum?

In August of 2021, Ethereum underwent its biggest upgrade, called "The Merge". This upgrade was the first time that Ethereum transitioned from a Proof-of-Work (PoW) to a Proof-of-Stake (PoS) mechanism. In other words, it made Ethereum more energy-efficient, decentralized, and scalable. However, it was not without its drawbacks. One major issue that the Merge brought was the network's ability to scale. As the number of transactions rose, the network's ability to process transactions quickly.

What is a smart contract?

A smart contract is a program stored and run on a blockchain that automatically enforces certain conditions. Smart contracts are written in a programming language and compiled into bytecode that runs in the EVM. Once deployed, the contract's code cannot be changed, and it executes identically across the network.

What is gas on Ethereum?

Gas is the unit in which the computational power required to execute a transaction is measured. Every transaction has a cost, which is expressed in gwei (one-billionth of an ETH), and the cost of executing each transaction is multiplied by the amount of gas used during the execution. In simple terms, the cost of executing a transaction is directly proportional to the amount of computing power required to process the transaction. Ethereum is the world's second-largest cryptocurrency by market capitalisation.

What is Solana?

Solana is a layer 1 blockchain that uses a proof-of-stake consensus mechanism called Tower BFT. Solana's Tower BFT is a variant of the Practical Byzantine Fault Tolerance (PBFT) consensus algorithm developed by the Byzantine fault-tolerant computer scientist and distributed systems engineer, Andrew Miller. In addition to its proof-of-stake consensus mechanism, Solana also uses a unique cryptographic clock to timestamp transactions and provide a verifiable audit trail for transactions.

Why is Solana fast?

Solana is a high-throughput blockchain launched in 2017. It has a growing user base but also experiences some of the most active periods of activity in crypto. In 2021, Solana processed an average of over 500 million transactions per second (TPS). In August 2023, it processed over 200 million transactions per second! In October 2024, it processed over 1.2 billion transactions per second. As Solana scales, it also scales with the network to ensure that it continues to be a high-performance blockchain.

Use it

chat.py in this folder needs only karpathy/nanochat (MIT) at the commit above:

pip install torch tiktoken safetensors
git clone https://github.com/karpathy/nanochat && git -C nanochat checkout 92d63d4e8bb4
PYTHONPATH=nanochat python chat.py "What is staking?"

Or load it yourself: config.json has the nanochat GPTConfig; build nanochat.gpt.GPT, load model.safetensors; the tokenizer is tokenizer.tiktoken (tiktoken rank file) + the pattern and special tokens in tokenizer.json. Chat format: <|bos|><|user_start|>...<|user_end|><|assistant_start|>.

Limitations

Tiny model, narrow data. It makes things up, including prices, dates, addresses and links. It is not financial advice and must not be used as a source of facts.

Downloads last month
254
Safetensors
Model size
1B params
Tensor type
BF16
·
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support