Commit Graph

12 Commits

Author SHA1 Message Date
Vincenzo di Cicco
2eb7ff95af Use '<|finetune_right_pad|>' as padding token for LLama4 (#2988) [skip ci] 2025-07-30 06:38:13 -04:00
Wing Lian
af8d257aa2 make pad_to_sequence_len default to the same value as sample_packing (#2941) [skip ci]
* make pad_to_sequence_len default to the same value as sample_packing

* remove duplicate validation

* fix test

* update description meta

Co-authored-by: NanoCode012 <nano@axolotl.ai>

---------

Co-authored-by: NanoCode012 <nano@axolotl.ai>
2025-07-21 11:40:56 -04:00
NanoCode012
b986f7c7cb fix: return proper attention for llama4 lora kernel and fsdp2 llama4 example fix (#2943)
* fix: return proper attention for llama4 lora optim

* fix: update fsdp2 llama4 config
2025-07-19 13:54:43 -04:00
Dan Saunders
10ba1622f7 checkpoint model on first step callback (#2906)
* checkpoint model on first step callback

* remove debug

* add test cases; update existing tests not to save on first step

* move test out of solo

* delete

* default to False

* typo
2025-07-15 15:00:48 -04:00
NanoCode012
32f51bca35 fix(doc): clarify instruction to delinearize llama4 similar to cli doc (#2644) [skip ci] 2025-05-07 10:29:47 -04:00
Wing Lian
53dbf97d85 make cce default to true when using the plugin (#2562) [skip ci] 2025-04-25 17:14:26 -04:00
NanoCode012
85053f4bd4 Fix(doc): add delinearize instruction (#2545)
* fix: mention to install pytorch before axolotl

* feat(doc): include instruction to delinearize

* fix: update instruction for delinearize with adapter
2025-04-24 01:03:43 -04:00
NanoCode012
682a9cf79b Fix: add delinearization and make qlora work with fsdp2 (#2515)
* fixes for delinearization, and make qlora work with fsdp2

* Add back mistakenly removed lm_eval

* typo [skip ci]

* patch evals for torch.compile + fsdp2

* also check torch_compile w fsdp2

* lots of fixes for flex attn with llama4

* fix patch check and patch llama4 too

* attempt to make the patches stick

* use transformers 4.51.2

* update configs and README for llama4

* remove torch.compile for CI test

* cleanup any existing singletons

* set singleton cache to None instead of deleting

* use importlib reload with monkeypatch

* don't worry about transformers version, mark inputs with grads, fix regex

* make sure embeds aren't on cpu

* logging and mem improvements

* vllm version and add to docker, make sure to save processor on conversion

* fix ambiguous tensor bool check

* fix vllm to not use v1, upgrade hf transformers

* fix tests

* make flex_attn_compile_kwargs configurable, since this depends on model params

---------

Co-authored-by: Wing Lian <wing@axolotl.ai>
Co-authored-by: Salman Mohammadi <salman.mohammadi@outlook.com>
2025-04-15 23:31:39 -07:00
Wing Lian
dd8bad06d0 remove strict=false from example yamls [skip ci] (#2523) [skip ci] 2025-04-12 07:25:11 -07:00
Wing Lian
9f986f5e71 Add Llama4 maverick examples (#2512) 2025-04-09 14:01:28 -04:00
Wing Lian
bf9efe2a09 [llama4] fix the mm yaml, add scout single gpu yaml (#2510)
* [llama4] fix the mm yaml, add scout single gpu yaml

* add README for llama4

* rename to specify fsdp
2025-04-09 02:52:45 -04:00
Wing Lian
0dac2ddeac Llama4 linearized (#2502)
* llama4 support for linearized experts

* clean up fsdp2 sharding to prevent hang

* add yaml config

* cleanup example [skip ci]
2025-04-07 20:47:00 -04:00