llm_trainer/__init__.py,sha256=HWgtTEVeQSnZmEyYQm2K6eFEG4X2QAoigMlB5Z2tcXE,260
llm_trainer/checkpoint.py,sha256=iTbnmVrT0Ql4DpD178UI95zCmfBUdYtoJS5wIvf8_4k,6099
llm_trainer/dataset.py,sha256=uz1TTd87ikf7CZPdGxmR95TSQTFWPPTilgWLBWO46_I,3916
llm_trainer/dcp.py,sha256=PkD97DyrOtoTKn4FJsfL3VqAy4dxufgjdzJEz8-Cnoc,3635
llm_trainer/dpo_trainer.py,sha256=6rm8Jq0rI0xazcl_bCOun8rnd34Tb_PKgezowhwoiCM,13150
llm_trainer/ds_checkpoint.py,sha256=_svpzqRaa43--DKPputoXAelc6X9vPM0gNQu-hlh6NI,2153
llm_trainer/eval.py,sha256=sCvdYnqWWf5_nuDQN5BHb_YivXLOQW-V0ET9mPu0tPU,2389
llm_trainer/generate_utils.py,sha256=4iM0vyc_1C_iTL31GlS9PR4eZtYaELPRZ02KDSPZA9U,15158
llm_trainer/grpo_trainer.py,sha256=gWDX8vRZ7hLKl_483X5ua92nst1m617BrqnzLhwr87g,16390
llm_trainer/log.py,sha256=LxqTGRNZUGMTSQCePRpk-rYyxSnSIbT4kOdP8Fbzr0M,462
llm_trainer/loss.py,sha256=Yv3fsaVuZ5AhnGPJOr5vEMb_tM2urR6mCb4DBbrHHI8,6030
llm_trainer/parallel.py,sha256=2VJtW3Gq2c1yS_LdcrNhk7B12prFwBmFnKhvV8FS2d8,4428
llm_trainer/parallel_ddp.py,sha256=Gz-3LZ6LKmqlNwxrnGRC4uKoqoSxCvp9JHejIBSQp3c,1238
llm_trainer/parallel_ds.py,sha256=W_PkczyAlgffCRcQadN-Pf7H7HM7TU26v5W63jKELFM,990
llm_trainer/parallel_fsdp.py,sha256=u9XbbVTzcsMcaf-aQFrC_QwWsDRGoEpRmgvu1cKNtgk,3887
llm_trainer/parallel_none.py,sha256=a6tt3aBmCq5rSP7n2I-sF-hsZ992BbLbpbxutDCFJfs,607
llm_trainer/scheduler.py,sha256=Xz8HhwoRMjRe41sf_NHhpZfkTlEs0I2MYusvMY6hCVw,3531
llm_trainer/sft_trainer.py,sha256=T9CujoEp8D5I65fLF2wgV6SPjzhGFbAI4We5NwL4O-M,1443
llm_trainer/tokenizer.py,sha256=A7TYYUbtPf75kjCvWP7yBui4xZBObMk2aPem62YpwpY,6776
llm_trainer/tools.py,sha256=AhfjN9oln5Pyif1SgCWwgQg-Q5acTCd9xpz4L26QUjA,3039
llm_trainer/train_configs.py,sha256=FAlylSYVeh_oJGTy2fcMNUV8JLD6B70hMuk-iKx14iI,15748
llm_trainer/trainer.py,sha256=mq51d-2ADUpcWCArszhYnOSTveatt3_x43hcC7IZgYk,24330
llm_trainer/utils.py,sha256=04XiMENVotNgbNRBn9wadHu-cJHPxj0Xq-zzLJmNgZQ,8062
project_llm_trainer-0.3.data/scripts/calc_intermediate_size,sha256=AggpgNHokJiJMbEtVdOnolqr_4bH3i1UYuZNEAzC2Gc,460
project_llm_trainer-0.3.data/scripts/ddp_train,sha256=x81AasaN2-9TwARFFF1l7iV1LmfMQ0bLw0i_CGbOwSw,299
project_llm_trainer-0.3.data/scripts/ds_train,sha256=qL3qc3TcedBCw98UZUjW07ONcErRawLE1HymW2AmscA,265
project_llm_trainer-0.3.data/scripts/plot_loss,sha256=MzFcdJESlVr1srj4Td6-AxPGUKkfB_QEcJwm0Bd-5fU,910
project_llm_trainer-0.3.data/scripts/plot_lr,sha256=w_7XR_x3KYYyboeOVAeu_I4fveLFI-C0wBmRrNlmWUI,894
project_llm_trainer-0.3.data/scripts/py_train,sha256=tOp9TquORQeU8XN5H7OVIk5O0Ypwi34p_GENxTwgwdk,265
project_llm_trainer-0.3.data/scripts/smart_train,sha256=Pmt4Q0to4Hoz82iB9uFPZuz7uahNUbfE7FR1940EBy8,716
project_llm_trainer-0.3.dist-info/METADATA,sha256=P64NiFbJzSd4QkFJ5udQ4qMyHUorPp3ex4F3eIdtVdU,193
project_llm_trainer-0.3.dist-info/WHEEL,sha256=Nw36Djuh_5VDukK0H78QzOX-_FQEo6V37m3nkm96gtU,91
project_llm_trainer-0.3.dist-info/top_level.txt,sha256=LtRFg28i0QIG7iBCD2t095oSco99LCtkijibS9cMGik,12
project_llm_trainer-0.3.dist-info/RECORD,,
