Commit History

Mixtral official (#942)
7fabc4d
unverified

winglian commited on

Update requirements.txt (#940)
9a5eb39
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tokestermw commited on

Mixtral: More correct MoE, lower loss (#932)
86487c2
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casperhansen commited on

update to latest transformers for mixstral support (#929)
35f9b0f
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winglian commited on

Mixtral multipack (#928)
68b227a
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winglian commited on

fixing prompt template of chatml by removal of linebreak (#922)
03c6318
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timlim123 Timothy Lim commited on

support for mamba (#915)
40a6362
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winglian commited on

chore: clarify Readme on sharegpt system role
d339beb
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Nanobit commited on

fix(tokenizer): handle fast tokenizer properly for bos/eos (#914)
fde091c
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Nanobit commited on

Pin flash-attn to 2.3.3 (#919)
06ae392
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casperhansen commited on

feat: add check for quantized model (#913)
a581e9f
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Nanobit winglian commited on

Support device_map=sequential & max_memory config parameters (#903)
992e742
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Bryan Thornbury winglian commited on

Feat(wandb): Refactor to be more flexible (#767)
a1da39c
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Nanobit commited on

feature: loss watchdog for terminating training runs that are failing (#899)
58ec8b1
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user735 Karl-Johan Alm commited on

Remove learning rate scheduler in deepspeed config to avoid conflict (#909)
476a205
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Haoxiang-Wang commited on

fix for qwen w lora (#906)
3e3229e
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winglian commited on

ensure merged model matches the training dtype (#902)
1d21aa6
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winglian commited on

Determine FSDP/deepspeed settings on device select. (#883)
71b7ea3
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user735 Karl-Johan Alm winglian commited on

fix: remove FA for qwen examples (#900)
a48dbf6
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Nanobit commited on

update datasets version to cut down the warnings due to pyarrow arg change (#897)
6a4562a
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winglian commited on

Feat: Add Qwen (#894)
1115c50
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Nanobit commited on

fix: warning should not show if eval_batch_size not provided (#896)
7ee3c4c
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Nanobit commited on

Feat: Add warmup_ratio (#893)
fb12895
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Nanobit commited on

chore(doc): Add info on changing role in sharegpt (#886)
9fc29e0
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Nanobit commited on

fix: revert local dir dataset load (#878)
575a082
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Nanobit commited on

Install from git url (#874)
ddf8150
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marksaroufim commited on

Phi update 202311 (#876)
9bf854e
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winglian commited on

don't train if eval split is too small (#873)
797f3dd
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winglian commited on

try #2: pin hf transformers and accelerate to latest release, don't reinstall pytorch (#867)
0de1457
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winglian commited on

Feat: Add dataset loading from S3, GCS (#765)
3cc67d2
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Nanobit commited on

allow overriding of model_config parameters from the YML (#853)
1bc1186
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winglian commited on

add e2e tests for checking functionality of resume from checkpoint (#865)
b3a61e8
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winglian commited on

make docker command more robust (#861)
8a8d1c4
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winglian commited on

lint fix that didn't get caught by linter (#866)
332984d
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winglian commited on

Update data.py for signature generation (#851)
48630f5
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MilesQLi winglian commited on

Docs: add instructions to 1-click launching on public clouds (#862)
b33c1d5
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zongheng commited on

multipack len should use max, not min (#863)
0c2a630
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winglian commited on

adds llama and mistral dropout support (#858)
db8a8af
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winglian commited on

various bugfixes (#856)
1470650
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winglian commited on

chore(doc): Separate section on runpod (#860)
501b4d1
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Nanobit commited on

feat(doc): add more info on train_on_split (#855)
306fe19
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Nanobit commited on

include the suffix modified string in ascii art (#852)
614cff4
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fpreiss commited on

cleanup the old multipack dataloader (#841)
1a6309c
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winglian commited on

Pin optimum package (#838)
105d0b3
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Bryan Thornbury commited on

don't compile deepspeed or bitsandbytes from source (#837)
f544ab2
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winglian commited on

multipack w batch sampler (#795)
641e6f7
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winglian commited on

use temp_dir kwarg instead
6dc68a6

winglian commited on

missing dunder-init
7de6a56

winglian commited on

chore: lint
c74f045

winglian commited on

make sure to cleanup tmp output_dir for e2e tests
0402d19

winglian commited on