* lean mistral ft tests, remove e2e torch 2.4.1 test
* make sure to pass save_only_model for RL
* more tests to make ci leaner, add cleanup to modal ci
* fix module for import in e2e tests
* use mp spawn to prevent deadlocks with packing
* make sure cleanup shell script is executable when cloned out
* make sure to validate the config before normalizing so defaults get set
* validation not needed for particular test
* remove duplicate validations
* set qlora correctly
* [ci] make e2e tests a bit faster by reducing test split size
* use 10% split of alpaca dataset to speed up dataset loading/tokenization
* reduce gas 4->2 for most e2e tests
* increase val set size for packing
* add helper to verify the correct model output file exists
* more checks using helper
* chore: lint
* fix import and relora model check
* workaround for trl trainer saves
* remove stray print
* reduce test concurrency to avoid HF rate limiting, test suite parity
* make val_set_size smaller to speed up e2e tests
* more retries for pytest fixture downloads
* val_set_size was too small
* move retry_on_request_exceptions to data utils and add retry strategy
* pre-download ultrafeedback as a test fixture
* refactor download retry into it's own fn
* don't import from data utils
* use retry mechanism now for fixtures
* phi2 multipack
* update validation and examples for phi
* more updates to phi examples
* make sure to use the correct collator for phi multipack
* phi needs attention mask now for multipack
* if the special token already exists in the tokenizer, don't require in lora modules to save
* fix qlora yml for phi, fix phi test validation
* test qlora too
* make sure flash attention is enabled for the test
* don't use remote code for phi anymore
* reduce sequence len for sample packing phi
