c67910fa6f
* bump hf deps * upgrade liger-kernel too * install cce from fork for transformers fix * fix reference to vocab size in gemma3 patch * use padding_idx instead of pad_token_id * remove fixed gemma3 patch * use updated cce fork * fix local mllama cce patches w docstring * add test for multipack with trainer setup and fix trainer for trainer refactor upstream * bump modal version * guard for iterable datasetS * mllama model arch layout changed in latest transformers * fix batch sampler with drop_last * fix: address upstream vlm changes for lora * fix: update references to old lora target path * fix: remove mllama fa2 patch due to upstream fix * fix: lora kernel patch path for multimodal models * fix: removed mllama from quarto * run test for came optim on 2.6.0+ * fix fsdp2 patch and remove deprecated patch * make sure to set sequence_parallel_degree for grpo * Add SP test for GRPO * add sp to grpo config for trainer * use reward_funcs as kwarg to grpo trainer * fix the comprehension for reward funcs * reward funcs already passed in as args * init sp_group right before training * fix check for adding models to SP context * make sure to pass args to super * upgrade deepspeed * use updated trl and add reasoning flags for vllm * patch the worker --------- Co-authored-by: NanoCode012 <nano@axolotl.ai>
71 lines
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71 lines
1.0 KiB
Plaintext
--extra-index-url https://huggingface.github.io/autogptq-index/whl/cu118/
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# START section of dependencies that don't install on Darwin/MacOS
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bitsandbytes==0.45.4
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triton>=3.0.0
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mamba-ssm==1.2.0.post1
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xformers>=0.0.23.post1
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autoawq==0.2.7.post3
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liger-kernel==0.5.10
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# END section
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packaging==23.2
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huggingface_hub==0.32.2
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peft==0.15.2
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transformers==4.52.3
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tokenizers>=0.21.1
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accelerate==1.7.0
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datasets==3.6.0
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deepspeed>=0.17.0
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trl==0.18.1
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hf_xet==1.1.2
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hqq==0.2.5
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optimum==1.16.2
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hf_transfer
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sentencepiece
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gradio==5.23.3
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modal==0.70.5
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pydantic==2.10.6
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addict
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fire
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PyYAML>=6.0
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requests
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wandb
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einops
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colorama
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numba
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numpy>=1.24.4,<=2.0.1
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# qlora things
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evaluate==0.4.1
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scipy
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scikit-learn==1.4.2
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nvidia-ml-py==12.560.30
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art
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tensorboard
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python-dotenv==1.0.1
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# remote filesystems
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s3fs>=2024.5.0
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gcsfs>=2024.5.0
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adlfs>=2024.5.0
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ocifs==1.3.2
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zstandard==0.22.0
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fastcore
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# lm eval harness
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lm_eval==0.4.7
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langdetect==1.0.9
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immutabledict==4.2.0
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antlr4-python3-runtime==4.13.2
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torchao==0.10.0
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schedulefree==1.4.1
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axolotl-contribs-lgpl==0.0.6
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axolotl-contribs-mit==0.0.3
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