llama-stack-mirror/llama_stack/providers/inline
Charlie Doern 6494658a10 feat: add finetune_multi_device recipe with fsdp support
the HF SFTTrainer supports distributed training using FSDP.

Add a new recipe, `finetune_multi_device` which supports multi-GPU (cuda) training
using FSDP and optionally LoRA.

transformers hides _alot_ of their usage of FSDP behind the training args:
a6b51e7341/src/transformers/training_args.py (L1535)

you need to pass both `fsdp` and `fsdp_config` to get it to work properly. However,
it seems many of the `fsdp_config` entries are silently ignored. The key things to get this working were:
full_shard
offload (cpu offload)
transformer_layer_cls_to_wrap (model specific wrapping)
cpu_ram_efficient_loading
sharding_strategy
limit_all_gathers
sync_module_states
backward_prefetch
use_orig_params

these can be seen both in `fsdp=` and `fsdp_config=` int he `SFTConfig` call.

I have tested this with different model architectures with and without LoRA with success.

the user can now toggle `recipe` in their provider config between `single` and `multi` to access the two different recipes.

for debugging purposes NCCL logging settings can now be accessed via the provider config as well

Signed-off-by: Charlie Doern <cdoern@redhat.com>
2025-06-12 13:33:33 -04:00
..
agents refactor: unify stream and non-stream impls for responses (#2388) 2025-06-05 17:48:09 +02:00
datasetio chore(refact): move paginate_records fn outside of datasetio (#2137) 2025-05-12 10:56:14 -07:00
eval feat: implementation for agent/session list and describe (#1606) 2025-05-07 14:49:23 +02:00
files/localfs feat: reference implementation for files API (#2330) 2025-06-02 21:54:24 -07:00
inference feat: New OpenAI compat embeddings API (#2314) 2025-05-31 22:11:47 -07:00
ios/inference chore: removed executorch submodule (#1265) 2025-02-25 21:57:21 -08:00
post_training feat: add finetune_multi_device recipe with fsdp support 2025-06-12 13:33:33 -04:00
safety feat: add cpu/cuda config for prompt guard (#2194) 2025-05-28 12:23:15 -07:00
scoring chore: enable pyupgrade fixes (#1806) 2025-05-01 14:23:50 -07:00
telemetry revert: "chore: Remove zero-width space characters from OTEL service" (#2331) 2025-06-02 14:21:35 -07:00
tool_runtime feat: Enable ingestion of precomputed embeddings (#2317) 2025-05-31 04:03:37 -06:00
vector_io feat: OpenAIVectorIOMixin for vector_stores common logic (#2427) 2025-06-11 15:40:57 -07:00
__init__.py impls -> inline, adapters -> remote (#381) 2024-11-06 14:54:05 -08:00