Andrej Karpathy
2874eda59a
update to new os env var to get rid of deprecation warning
2025-12-28 03:32:46 +00:00
Andrej Karpathy
e1770a3061
remove spurious cast, gets compiled away anyway but it's confusing people
2025-12-27 23:07:48 +00:00
Andrej Karpathy
49389ecaa8
fix tf32 warning for deprecated api use
2025-12-27 22:03:06 +00:00
DU Wenjie
ea4229851b
bugfix
2025-12-26 19:02:12 +08:00
DU Wenjie
7840049189
bugfix keep same args style in scripts/base_eval.py
2025-12-26 17:29:08 +08:00
Andrej
bc51da8bac
pad vocab size to 64 for DDP optimizers and efficiency
2025-12-23 09:13:31 -08:00
duwenjie
92c6654b95
bugfix save and load ckpt from model_tag dir
2025-12-21 15:07:04 +08:00
Barış Özmen
790f3be65c
add rust batch encode as a faster option over encode
2025-12-18 19:17:59 +03:00
Matěj Kripner
d314e96aa2
formatting
2025-12-09 12:48:46 +01:00
Matěj Kripner
bbc57da7d5
slightly nicer error message
2025-12-09 12:46:48 +01:00
Matěj Kripner
f1bf69d562
feat: pad vocab size to 64 for DDP optimizers and efficiency
2025-12-09 12:38:18 +01:00
Andrej
d5759400f9
fixing two typos in comments
2025-12-08 20:03:08 -08:00
Andrej
e72c3299df
fix random.seed() footgun bug for SpellingBee data generation
2025-12-08 19:58:45 -08:00
Andrej
7931e0903a
rename checkpoint_dir to checkpoints_dir for consistency.
2025-12-08 18:32:12 -08:00
Andrej
849d95ae1f
remove unnecessary check to make the logic in CausalSelfAttention.forward() clearer
2025-12-08 18:30:37 -08:00
Andrej
39cccc527f
small bugfix make mid_train script work even with a tiny number of iterations
2025-12-08 18:27:32 -08:00
Andrej
8b1cecaa95
Apply suggestion from @svlandeg for nicer looking comparison
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Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com >
2025-12-08 18:27:06 -08:00
Andrej
58f3e84e01
clean up train/val loader in sft for consistency with mid/base
2025-12-08 18:23:57 -08:00
Andrej
1b2a675c88
Improve KV cache code readability
2025-12-08 18:19:05 -08:00
Andrej
d75e6ed711
Fix script comment to reference correct file
2025-12-08 18:16:42 -08:00
Andrej
72a7cf2bc4
Fix distributed Parquet dataloader resume for multi-epoch training
2025-12-08 18:15:02 -08:00
Andrej Karpathy
bffdb2ef91
group common code to make things neater in gpt logit computation
2025-12-09 02:01:05 +00:00
Andrej
cbf30c842c
apply float32 cast before logits softcapping so the tanh is in fp32. torch compile fuses this correctly with no extra memory costs.
2025-12-08 14:17:43 -08:00
Andrej Karpathy
90442de35f
fix bug where any rank has to be able to create checkpoint_dir if saving optim
2025-12-08 20:45:19 +00:00
Andrej
2fd0440355
fix: missing val_bpb on resume
2025-12-08 12:35:08 -08:00
sunyujun03
01ea71be39
Fix distributed Parquet dataloader resume for multi-epoch training
2025-12-08 00:10:19 -06:00
KimYeongHyeon
a8847a0f83
Fix script comment to reference correct file
2025-12-02 10:46:20 +09:00
deepbuilder
06677c30e0
Refactor dimension validation for KV cache
2025-11-28 15:22:18 -05:00
deepbuilder
a770dcef2e
Fix kv_cache indexing to explicitly include head dimension
2025-11-28 15:00:14 -05:00
spjosyula
16788eed3c
fix(model): apply float32 cast before logits softcapping
...
This change ensures that the logits softcapping operation (tanh) is performed in float32 precision rather than bfloat16. Previously, the code cast to float32 after the tanh operation, which meant the non-linearity was computed with bfloat16 precision
2025-11-23 20:12:09 +05:30
Sanzo00
53b3a4fb81
fix: missing val_bpb on resume
2025-11-22 11:04:20 +08:00
svlandeg
4bcc3bb698
clarify comment
2025-11-21 13:19:45 +01:00
Eric Silberstein
f37d45c21f
remove unneeded iter()
2025-11-20 15:14:56 -05:00
Eric Silberstein
5c93a56be5
remove unnecessary check
2025-11-19 16:31:41 -05:00
Eric Silberstein
dddb95caac
make mid_train script work even with a tiny number of iterations
2025-11-19 15:52:20 -05:00
Eric Silberstein
a4a0959c73
renamed find_largest_model() argument checkpoint_dir to checkpoints_dir for clarity
2025-11-19 15:33:36 -05:00
Eric Silberstein
024781f9df
fixing two typos in comments
2025-11-19 15:12:53 -05:00
Eric Silberstein
97770700f2
change test/train split approach because random.seed(1) and random.seed(-1) do the same thing
2025-11-19 14:51:02 -05:00
Andrej
4a87a0d19f
Merge pull request #299 from samjabrahams/rotary_embedding_head_dim_comment_cleanup
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Fix comment: rotary embeddings final dimension size
2025-11-17 13:29:21 -08:00
Sam Abrahams
11e68bf442
Fix comment: rotary embeddings final dimension size
2025-11-17 11:32:56 -05:00
Andrej Karpathy
bc1fca39f3
mqa -> gqa to reduce confusion
2025-11-15 15:43:37 +00:00
Andrej
f66a780f68
Fix torch.dtype mismatching when running engine inline test.
2025-11-14 07:28:29 -08:00
Andrej
4763ce612a
Small fixes to typos
2025-11-14 07:25:59 -08:00
Sofie Van Landeghem
c6f5bd67db
revert change of base to sft for quick inline test
2025-11-14 12:20:03 +01:00
svlandeg
a2fb3c83a6
fix typos
2025-11-14 11:20:25 +01:00
svlandeg
e5efb4b471
add test_engine.py to file structure
2025-11-14 11:13:42 +01:00
Andrej Karpathy
9a71d13688
typo oops
2025-11-13 16:08:30 +00:00
Andrej Karpathy
7b7fd0fe71
thank you Sophie for your help with nanochat
2025-11-13 16:07:54 +00:00
Andrej Karpathy
c6abcdfe3a
big change: add pretraining resumption logic so that checkpoints can now be approximately resumed and training can continue. this is useful for very long runs when you don't want the anxiety of your run crashing for some reason. alternatively, it's a way to recover training in the event of loss spikes. i mean, this should have been there in v0 but it's ok. the resumption is approximate to control complexity and bloat, but it's possible we want to change that in the future. to use, set --save_every to a step interval to write checkpoints with, and then use --resume_from_step to resume optimization from a given step. only base model training (pretraining) supports this atm, but it's ok because midtraining is comparably quite a bit faster.
2025-11-13 15:34:40 +00:00
Andrej Karpathy
91f09ccd0d
minor fix comment in engine
2025-11-13 15:28:18 +00:00
