Commit History
Feat: Set WORKDIR to /workspace/axolotl (#679)
133e676
unverified
Fix: Future deprecation warning with use_auth_token (#680)
69fac9a
unverified
Fix(tokenizer): Set rstrip,lstrip,norm to False (#678)
e0b7eea
unverified
Fix(version): Update FA to work with Mistral SWA (#673)
43856c0
unverified
chore: Clean up repetitive model kwargs (#670)
e62d590
unverified
Feat: Allow usage of native Mistral FA when no sample_packing (#669)
697c50d
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Feat: Add config yaml to section for reprod in bug-report.yaml (#667)
90e0d67
unverified
refactor to set eval_batch_size earlier if unset, so we can warn if mismatched (#662)
2642cae
unverified
remove patch fix for phi (#664)
f34648c
unverified
prepared dataset caching, other misc fixes (#665)
e50a64e
unverified
make sure we also run CI tests when requirements.txt changes (#663)
f4868d7
unverified
removed duplicate on requirements.txt (#661)
a7e56d8
unverified
Napuh
commited on
add mistral e2e tests (#649)
5b0bc48
unverified
Make dataset_processes configurable (#651)
9ec2077
unverified
Fix bug when using pretokenized datasets (#652)
590d603
unverified
ich
commited on
add support for defined train split (#654)
409ca0f
unverified
don't strip the prompt for check since we don't strip to tokenize anymore (#650)
8662e8f
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fix for flash attn w mistral w/o sammple packing (#648)
b2edaae
unverified
Update mistral/README.md (#647)
b88f515
unverified
Adarsh Shirawalmath
commited on
Feat: Add example for Mistral (#644)
eb41f76
unverified
Fix(cfg): Add validation for save_strategy and eval_strategy (#633)
383f88d
unverified
Mistral flash attn packing (#646)
b6ab8aa
unverified
Warn users to login to HuggingFace (#645)
85b0be2
unverified
Napuh
commited on
Fix bug in dataset loading (#284)
8fe0e63
unverified
Correct typos in datasets.py (#639)
d1236f2
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skip some flash attn patches unless explicitly enabled (#643)
895f0a0
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use fastchat conversations template (#578)
e7d3e2d
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update for recent transformers updates (#636)
60c7c48
unverified
attention_mask not needed for training (#642)
e8cbf50
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eval_table isn't quite stable enough to be in default llama configs (#637)
d887ad8
unverified
Feat: Add support for upstream FA2 (#626)
19a600a
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Added quotes to the pip install -e command to fix an incompatibility with shells that do glob expansion like zsh (#632)
5e5296a
unverified
Fernando Tarin Morales
commited on
Merge pull request #629 from OpenAccess-AI-Collective/chore/-change-default-model
f3d9390
unverified
Fix: Fail bf16 check when running on cpu during merge (#631)
cfbce02
unverified
default model changed
4fecbfe
Feat(doc): Add eval_sample_packing to doc (#625)
67b9888
unverified
tweak: improve base builder for smaller layers (#500)
923eb91
unverified
Maxime
commited on
better handling and logging of empty sharegpt turns (#603)
a363604
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create a model card with axolotl badge (#624)
501958b
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update README w deepspeed info (#605)
c25ba79
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chore(callback): Remove old peft saving code (#510)
d5f8589
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misc fixes to add gptq tests (#621)
03e5907
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split completion text to sequence_len (#616)
97d3776
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run eval on the first step to get a baseline (#617)
2844eb2
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let MAX_JOBS use the default since we're not resource constrained on our self-hosted runners (#427)
e85d2eb
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skip the gpu memory checks if the device is set to 'auto' (#609)
196ff11
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ignore wandb to resolve isort headaches (#619)
92512c3
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fix distributed devices (#612)
2fe95cd
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Maxime
commited on
Create multi-node.md (#613)
c1382e7
unverified
Maxime
commited on