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Update TRL Single Node example to uv #2715

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Merged
Bihan merged 1 commit into from
Jun 2, 2025
Merged

Update TRL Single Node example to uv #2715

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21 changes: 11 additions & 10 deletions examples/single-node-training/trl/README.md
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Original file line number Diff line number Diff line change
Expand Up @@ -21,19 +21,19 @@ env:
- WANDB_API_KEY
- HUB_MODEL_ID
commands:
- pip install "transformers>=4.43.2"
- pip install bitsandbytes
- pip install flash-attn --no-build-isolation
- pip install peft
- pip install wandb
# Pin torch==2.6.0 to avoid building Flash Attention from source.
# Prebuilt Flash Attention wheels are not available for the latest torch==2.7.0.
- uv pip install torch==2.6.0
- uv pip install transformers bitsandbytes peft wandb
- uv pip install flash_attn --no-build-isolation
- git clone https://github.com/huggingface/trl
- cd trl
- pip install .
- |
- uv pip install .
- |
accelerate launch \
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--config_file=examples/accelerate_configs/multi_gpu.yaml \
--num_processes $DSTACK_GPUS_PER_NODE \
examples/scripts/sft.py \
trl/scripts/sft.py \
--model_name meta-llama/Meta-Llama-3.1-8B \
--dataset_name OpenAssistant/oasst_top1_2023-08-25 \
--dataset_text_field="text" \
Expand All @@ -44,14 +44,15 @@ commands:
--report_to wandb \
--bf16 \
--max_seq_length 1024 \
--lora_r 16 --lora_alpha 32 \
--lora_r 16 \
--lora_alpha 32 \
--lora_target_modules q_proj k_proj v_proj o_proj \
--load_in_4bit \
--use_peft \
--attn_implementation "flash_attention_2" \
--logging_steps=10 \
--output_dir models/llama31 \
--hub_model_id $HUB_MODEL_ID
--hub_model_id peterschmidt85/FineLlama-3.1-8B

resources:
gpu:
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21 changes: 10 additions & 11 deletions examples/single-node-training/trl/train.dstack.yml
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Expand Up @@ -12,20 +12,19 @@ env:
- ACCELERATE_LOG_LEVEL=info
# Commands of the task
commands:
- conda install cuda
- pip install git+https://github.com/huggingface/transformers.git
- pip install bitsandbytes
- pip install flash-attn --no-build-isolation
- pip install peft
- pip install wandb
# Pin torch==2.6.0 to avoid building Flash Attention from source.
# Prebuilt Flash Attention wheels are not available for the latest torch==2.7.0.
- uv pip install torch==2.6.0 torchvision==0.21.0 torchaudio==2.6.0
- uv pip install transformers bitsandbytes peft wandb
- uv pip install flash_attn --no-build-isolation
- git clone https://github.com/huggingface/trl
- cd trl
- pip install .
- uv pip install .
- |
accelerate launch \
--config_file=examples/accelerate_configs/multi_gpu.yaml \
--num_processes $DSTACK_GPUS_PER_NODE \
examples/scripts/sft.py \
trl/scripts/sft.py \
--model_name meta-llama/Meta-Llama-3.1-8B \
--dataset_name OpenAssistant/oasst_top1_2023-08-25 \
--dataset_text_field="text" \
Expand All @@ -36,15 +35,15 @@ commands:
--report_to wandb \
--bf16 \
--max_seq_length 1024 \
--lora_r 16 --lora_alpha 32 \
--lora_r 16 \
--lora_alpha 32 \
--lora_target_modules q_proj k_proj v_proj o_proj \
--load_in_4bit \
--use_peft \
--attn_implementation "flash_attention_2" \
--logging_steps=10 \
--output_dir models/llama31 \
--hub_model_id $HUB_MODEL_ID

--hub_model_id peterschmidt85/FineLlama-3.1-8B
resources:
gpu:
# 24GB or more VRAM
Expand Down