Commit History
update deps (#1663) [skip ci]
ef22351
unverified
bump versions of deps (#1621)
039e2a0
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adding llama3 fastchat conversation monkeypatch (#1539)
b32c08f
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Add support for Gemma chat template (#1530)
60f5ce0
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ORPO Trainer replacement (#1551)
7d1d22f
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fix(packages): lock datasets version (#1545)
59ef254
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DBRX Model Support (#1462)
132eb74
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Pretrain multipack v2 (#1470)
5aa5097
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qwen2_moe support w multipack (#1455)
6086be8
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fix some of the edge cases for Jamba (#1452)
05b398a
unverified
strip out hacky qlora-fsdp workarounds now that qlora-fsdp fixes are upstreamed (#1428)
2a1589f
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support galore once upstreamed into transformers (#1409)
dd449c5
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FDSP + QLoRA (#1378)
9b6ee83
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update flash attention for gemma support: (#1368)
58b0d4b
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support for DoRA w/ PEFT (#1363)
0cfdb2c
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run tests again on Modal (#1289) [skip ci]
0001862
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fix: checkpoint saving with deepspeed (#1321)
5be8b55
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Pydantic 2.x cfg (#1239)
cc3cebf
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make mlflow optional (#1317)
5894f0e
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multipack for gemma (#1313)
2752d5f
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Add seq2seq eval benchmark callback (#1274)
5a5d474
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add support for https remote yamls (#1277)
9bca7db
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Peft deepspeed resume (#1227)
c67fb71
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Peft lotfq (#1222)
4cb7900
unverified
Revert "run PR e2e docker CI tests in Modal" (#1220) [skip ci]
8da1633
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run PR e2e docker CI tests in Modal (#1217) [skip ci]
36d053f
unverified
Update deps 202401 (#1204) [skip ci]
a01b998
unverified
upgrade deepspeed to 0.13.1 for mixtral fixes (#1189) [skip ci]
8a49309
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Qwen2 (#1166)
f5a828a
unverified
Remove fused-dense-lib from requirements.txt (#1087)
91502b9
unverified
fix: warn user to install mamba_ssm package (#1019)
d69ba2b
unverified
pin accelerate for deepspeed fix (#1080)
9e3f0cb
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Separate AutoGPTQ dep to `pip install -e .[auto-gptq]` (#1077)
9be92d1
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paired kto support (#1069)
d7057cc
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update peft to 0.7.0 (#1073)
768d348
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Add: mlflow for experiment tracking (#1059) [skip ci]
090c24d
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Phi2 rewrite (#1058)
732851f
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RL/DPO (#935)
f243c21
bump transformers and update attention class map name (#1023)
bcc78d8
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chore: Update transformers to latest (#986)
7d4185f
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update transformers to fix checkpoint saving (#963)
f28e755
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dumpmemory
commited on
Mixtral official (#942)
7fabc4d
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Update requirements.txt (#940)
9a5eb39
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update to latest transformers for mixstral support (#929)
35f9b0f
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update datasets version to cut down the warnings due to pyarrow arg change (#897)
6a4562a
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try #2: pin hf transformers and accelerate to latest release, don't reinstall pytorch (#867)
0de1457
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Feat: Add dataset loading from S3, GCS (#765)
3cc67d2
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add e2e tests for checking functionality of resume from checkpoint (#865)
b3a61e8
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Pin optimum package (#838)
105d0b3
unverified
Bryan Thornbury
commited on