llama-stack-mirror/llama_stack/providers/inline
Charlie Doern d6228bb90e fix: proper checkpointing logic for HF trainer
currently only the last saved model is reported as a checkpoint and associated with the job UUID. since the HF trainer handles checkpoint collection during training, we need to add all of the `checkpoint-*` folders as Checkpoint objects. Adjust the save strategy to be per-epoch to make this easier and to use less storage

Signed-off-by: Charlie Doern <cdoern@redhat.com>
2025-06-25 20:01:36 -04:00
..
agents feat: support auth attributes in inference/responses stores (#2389) 2025-06-20 10:24:45 -07:00
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: support pagination in inference/responses stores (#2397) 2025-06-16 22:43:35 -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 fix: proper checkpointing logic for HF trainer 2025-06-25 20:01:36 -04:00
safety feat: add cpu/cuda config for prompt guard (#2194) 2025-05-28 12:23:15 -07:00
scoring ci: add python package build test (#2457) 2025-06-19 18:57:32 +05:30
telemetry feat: drop python 3.10 support (#2469) 2025-06-19 12:07:14 +05:30
tool_runtime feat: Add ChunkMetadata to Chunk (#2497) 2025-06-25 15:55:23 -04:00
vector_io feat: Add ChunkMetadata to Chunk (#2497) 2025-06-25 15:55:23 -04:00
__init__.py impls -> inline, adapters -> remote (#381) 2024-11-06 14:54:05 -08:00