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201 commits

Author SHA1 Message Date
wozeparrot
ab6218bc92
 		llama mp fixes (#16050) 2026-05-05 15:35:32 -07:00
wozeparrot
528d35e306
 		llama speed 4 (#15993) 2026-04-30 17:14:41 -07:00
wozeparrot
ef09071073
 		llama: speed 2 (#15960) 2026-04-28 20:44:37 -07:00
wozeparrot
5e861cd2c4
 		llama: move llama kernels to llama_kernels (#15952) 2026-04-27 22:48:53 -07:00
wozeparrot
4b908b6e2c
 		llama: fused ce loss (#15920) 2026-04-24 20:01:24 -07:00
wozeparrot
9d134a2848
 		llama: fix fakedata timing (#15905) 2026-04-23 21:37:03 -07:00
wozeparrot
06343092c8
 		llama: combined w13 (#15803) 2026-04-17 22:27:31 -07:00
wozeparrot
9e60e4a7e7
 		llama: native fp8 (#15733) 2026-04-16 22:16:05 -07:00
chenyu
839d37b7bc
 		update median_step_time in model_train.py (#15649) 
BENCHMARK=5 used to pick the 4th largest, not the middle one
 2026-04-08 09:53:59 -04:00
wozeparrot
70dbd35023
 		llama: move custom_kernel into flat_llama (#15643) 2026-04-08 00:19:14 -07:00
wozeparrot
7e54992bf6
 		fp8 llama (#15588) 
Co-authored-by: qazal <qazal.software@gmail.com>
 2026-04-04 18:24:57 -07:00
qazal
09f60d80fd
 		llama: fix FP8=1 FAKEDATA=1 (#15564) 2026-04-01 20:53:03 +09:00
wozeparrot
0c3e438229
 		llama: mllog (#15502) 2026-03-28 11:18:25 -07:00
wozeparrot
a65e958be9
 		llama: new apply_grad (#15503) 2026-03-26 19:39:25 -07:00
Christopher Milan
bc180a963c
 		deprecate <dev>=1 in favor of DEV=<dev> (#15467) 
* start work on target

* add test

* update actions to use DEV

* update docs

* update readmes

* tests need that too

* update example

* update tests (comments)

* fix that test

* ruff

* mypy

* oops

* remove getenvs

* don't add Target yet

* and the test

* lint

* and docs

* more stuff

* assert

* few more fixes

* test assert
 2026-03-26 03:48:03 -04:00
wozeparrot
da2031266a
 		llama: correct 8b init (#15397) 2026-03-24 13:41:41 -07:00
wozeparrot
87c4ec1724
 		llama: use flat llama (#15353) 2026-03-19 22:12:38 -07:00
wozeparrot
a191ac0566
 		llama: use mlperf model (#15257) 2026-03-13 08:08:32 -07:00
wozeparrot
4fab320abe
 		llama: clean (#15224) 2026-03-11 13:33:59 -07:00
wozeparrot
05d6d9120a
 		llama offload null (#15222) 2026-03-11 10:04:31 -07:00
wozeparrot
525a178966
 		llama: jit more (#15199) 2026-03-10 11:04:59 +08:00
wozeparrot
4544da1c54
 		llama3 fixes part3 (#15152) 2026-03-05 01:17:54 -08:00
wozeparrot
92c16810ac
 		feat: per device mem_used (#15100) 2026-03-03 01:31:28 -08:00
wozeparrot
824ba4386a
 		llama3 dp fix (#15098) 2026-03-02 22:43:07 -08:00
wozeparrot
a4f6365929
 		llama3: fstep takes grads (#15069) 2026-03-01 20:05:07 -08:00
wozeparrot
cfc5cf65ad
 		llama3: vocab padding fix + jit copies on fakedata (#15067) 2026-02-28 08:44:55 -08:00
wozeparrot
d941dd5aeb
 		llama3: pad vocab when mp sharding (#14998) 2026-02-25 00:04:06 -08:00
wozeparrot
e1c9985715
 		llama3: better time keeping (#14999) 2026-02-24 22:42:05 -08:00
wozeparrot
8d9545e09e
 		llama3: correctly shard wqkv (#14978) 2026-02-23 23:57:10 -08:00
wozeparrot
3cda781876
 		llama optim offload (#14901) 2026-02-21 08:53:45 -08:00
wozeparrot
95e97ec341
 		seperate llama optim (#14810) 2026-02-17 13:02:35 -08:00
wozeparrot
4b5d3bda1f
 		llama3: data seed (#14681) 2026-02-11 19:04:40 -08:00
wozeparrot
a60220bed9
 		llama3: move dl to numpy & jit more (#14677) 
Co-authored-by: George Hotz <72895+geohot@users.noreply.github.com>
 2026-02-10 18:16:40 -08:00
wozeparrot
4845e42135
 		llama3 gradacc fixes (#14414) 2026-01-28 19:12:39 -08:00
nimlgen
aec1ae0de1
 		llama: set manual_seed (#14409) 2026-01-28 14:40:00 -08:00
George Hotz
0c6b3f50aa
 		add marker to llama training (#14401) 2026-01-28 22:44:28 +08:00
wozeparrot
e496547720
 		llama3 gradacc (#14291) 2026-01-27 19:48:10 -08:00
wozeparrot
963c59ebdb
 		fix: pull fixes from gradacc branch (#14296) 2026-01-22 23:07:54 -08:00
wozeparrot
c1d14ea832
 		llama8b train fixes (#14264) 2026-01-20 20:34:47 -08:00
b1tg
0fbc551622
 		train bert with fp8 (#13874) 
* fp8 train

* clean

* lint

* test fix from #13439

* skip first/last layer

* rm __init__, restore unroll <=32 check

* tests

* clean test, remove unused

* multi-gpu test, clean quantize_to_fp8

* remove bert contiguous

* run script

* test: better check

* run script search

* add seed in bert data shuffle

* move script to mi350x folder

---------

Co-authored-by: chenyu <chenyu@fastmail.com>
 2026-01-09 09:21:59 -05:00
b1tg
241f0402b4
 		add seed in bert data shuffle (#14054) 2026-01-07 10:02:05 -05:00
chenyu
da1cb6a9ec
 		update llama dataloader (#13825) 
separate creating dataset from itererating over the dataset to not create eval data for each eval
 2025-12-24 17:42:08 -05:00
chenyu
903753c60c
 		llama wandb logging (#13822) 2025-12-24 10:24:59 -05:00
chenyu
27d899ce97
 		TRAIN=0 to only eval llama (#13804) 2025-12-22 11:55:46 -05:00
chenyu
39d962106f
 		update llama logging (#13803) 
```
REWRITE_STACK_LIMIT=1000000 SMALL=1 BASEDIR=/raid/datasets/c4-8b SAMPLES=1000 BS=8 DP=8 DEFAULT_FLOAT=bfloat16 OPTIM_DTYPE=bfloat16 LLAMA3_SIZE=8B SEQLEN=1024 PYTHONPATH=. MODEL=llama3 python3 examples/mlperf/model_train.py

    1 93.44 s run, 11.8750 loss, 0.000000000001 LR, 642.43 GB used,  19644.30 GFLOPS
    2 101.78 s run, 11.8750 loss, 0.000000000001 LR, 1454.57 GB used,  17039.35 GFLOPS
    3 7.34 s run, 11.8750 loss, 0.000000000002 LR, 1454.57 GB used, 236258.78 GFLOPS
    4 4.32 s run, 11.8750 loss, 0.000000000002 LR, 1454.57 GB used, 401488.40 GFLOPS
    5 4.36 s run, 11.9375 loss, 0.000000000003 LR, 1454.57 GB used, 398116.13 GFLOPS
    6 4.32 s run, 11.8750 loss, 0.000000000003 LR, 1454.57 GB used, 401878.60 GFLOPS
    7 4.34 s run, 11.8750 loss, 0.000000000004 LR, 1454.57 GB used, 399822.57 GFLOPS
    8 4.35 s run, 11.8750 loss, 0.000000000004 LR, 1454.57 GB used, 398512.24 GFLOPS
    9 4.36 s run, 11.8750 loss, 0.000000000005 LR, 1454.57 GB used, 397832.61 GFLOPS
   10 4.40 s run, 11.8750 loss, 0.000000000005 LR, 1454.57 GB used, 394520.83 GFLOPS
```
 2025-12-22 11:28:29 -05:00
chenyu
e428fbfab6
 		verify dtype of llama model params (#13719) 2025-12-16 12:32:02 -05:00
chenyu
6cad622f59
 		don't FREE_INTERMEDIATE in bert (#13684) 
hangs green hcq consistently after an hour of training
 2025-12-14 14:27:42 -05:00
chenyu
01e9ad0d52
 		clean up bert next_data (#13650) 
train iter was designed to never stop for both real and fake data
 2025-12-11 22:56:28 -05:00
chenyu
5034c6fb37
 		reenable FREE_INTERMEDIATE for bert (#13639) 
* reenable FREE_INTERMEDIATE for bert

* comment
 2025-12-10 12:08:09 -05:00
chenyu
2471b49e45
 		minor bert / llama change from grad acc branch (#13622) 
* minor bert / llama change from grad acc branch

* revert those
 2025-12-08 16:04:14 -05:00