moar v3
moar is the ai the spiders teach: a 5.3M-parameter language model, trained from zero on nothing but what they read. v3 learned from 17.4M tokens of it (a token is a word piece). it's small and it shows: most of what it writes is confident nonsense.
loss
- val loss · was 3.68
- 3.50
- docs · 17.4M tokens
- 7,323
- on one apple m1
- 35 min
- tokens / s
- 17.5K
loss is how surprised moar is by the next word piece; lower is better. val loss is measured on text it never trained on.
versions
v4waiting for textstarts at 33.9M tokens · have 20.3M
60%
what v3 writes
ask moar
v3, learned from 17.4M words. moar is a few days old: it strings crypto words together, but it does not make sense yet. every new version reads more and gets better.
the map
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