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v0.5.17

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release: Bump version to 0.5.17 (#616)

v0.5.16

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release: Bump version to 0.5.16 (#603)

v0.5.15

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release: Bump version to 0.5.15 (#599)

v0.5.14

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release: Bump version to 0.5.14 (#597)

Co-authored-by: GitHub Action <action@github.com>

v0.5.13

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Bump version to 0.5.13 (#593)

v0.5.11

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release: Bump version to 0.5.11 (#572)

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v0.5.10

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release: Bump version to 0.5.10 (#569)

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prek-uv-cache

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WIP: SFT (local backend) (#530)

* SFT data iterator

* Add SFT LR utils

* train_sft skeleton

* SFT Shape 0.1

* Add shuffle to SFTConfig

* change SFT args order

* Refactor SFT to accept batched trajectories

Move batching and shuffling logic from SFTConfig into iterator
functions. train_sft now accepts Iterable[List[Trajectory]] instead
of individual trajectories, simplifying the API and making batch
management more explicit.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

* Tokenize SFT Batch

* Add num_trainable_tokens to SFTBatch

* draft train_sft

* Flatten trajectory for train_sft

* Tokenize SFT Batches support flat list and add padding

* Fix max_length duplicate name issue

* Remove unused file

* remove unused typing

* sft iterator

* SFT Iterator

* Use Unsloth for train on response

* refactoring

* implement local backend SFT training

* Add SFT to Local Backend

* avg loss

* refactor, sft works good

* remove logging

* move tokenizer, update backend

* update lr schedule and tests

* refactor sft training from file

* change batch sft

* refactor step count based on checkpoints

* update sft warmup script

* fix model registration

* make local random

* refactor backend

* refactor

* update example

* Pyright fix

* remove iterate file epochs, refactor

* refactor

* add serverless endpoint

* Rename training_folder_url to training_data_url

* update defaults, change reporting

* update lables

* make sft to produce only one checkpoint step

* refactor train from file

* refactor

* Refactor SFTTrainConfig

* refactor

* correctly register lora, fix unsloth proxy check

* add sft train from file streaming

* add openpipe qwen back

* lint fix

* calculate pbar

* rename to training_data_url

* accept model run_id from server

* update optimizer hparams

* add claude command

* remove queue, add skills

* add docs and colab example

* move zero_grad

* add final step arg

* update docs

* update docs and trajectories

* lint fix

* add cli skills

* add chunking

* lint fix

* remove inline trajectories from skills

* update chunking

* change default chunk to 10

* remove leftovers

---------

Co-authored-by: Angky William <awilliam@coreweave.com>
Co-authored-by: Claude <noreply@anthropic.com>

v0.5.9

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release: Bump version to 0.5.9 (#543)

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v0.5.7

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release: Bump version to 0.5.7 (#505)