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ROCm/docs/data/how-to/rocm-for-ai/training/previous-versions/pytorch-training-v25.6-benchmark-models.yaml
Peter Park 4bc1bf00c6 Update PyTorch training benchmark docker doc to 25.7 (#5255)
* Update PyTorch training benchmark docker doc to 25.7

* update .wordlist.txt

* update conf.py

* update data sheet

* fix sphinx warnings
2025-09-05 12:07:51 -04:00

121 lines
4.4 KiB
YAML

unified_docker:
latest:
pull_tag: rocm/pytorch-training:v25.6
docker_hub_url: https://hub.docker.com/r/rocm/pytorch-training/tags
rocm_version: 6.4.1
pytorch_version: 2.8.0a0+git7d205b2
python_version: 3.10.17
transformer_engine_version: 1.14.0+2f85f5f2
flash_attention_version: 3.0.0.post1
hipblaslt_version: 0.15.0-8c6919d
triton_version: 3.3.0
model_groups:
- group: Pre-training
tag: pre-training
models:
- model: Llama 3.1 8B
mad_tag: pyt_train_llama-3.1-8b
model_repo: Llama-3.1-8B
url: https://huggingface.co/meta-llama/Llama-3.1-8B
precision: BF16
training_modes: [pretrain]
- model: Llama 3.1 70B
mad_tag: pyt_train_llama-3.1-70b
model_repo: Llama-3.1-70B
url: https://huggingface.co/meta-llama/Llama-3.1-70B-Instruct
precision: BF16
training_modes: [pretrain]
- model: FLUX.1-dev
mad_tag: pyt_train_flux
model_repo: Flux
url: https://huggingface.co/black-forest-labs/FLUX.1-dev
precision: BF16
training_modes: [pretrain]
- group: Fine-tuning
tag: fine-tuning
models:
- model: Llama 4 Scout 17B-16E
mad_tag: pyt_train_llama-4-scout-17b-16e
model_repo: Llama-4-17B_16E
url: https://huggingface.co/meta-llama/Llama-4-Scout-17B-16E
precision: BF16
training_modes: [finetune_fw, finetune_lora]
- model: Llama 3.3 70B
mad_tag: pyt_train_llama-3.3-70b
model_repo: Llama-3.3-70B
url: https://huggingface.co/meta-llama/Llama-3.3-70B-Instruct
precision: BF16
training_modes: [finetune_fw, finetune_lora, finetune_qlora]
- model: Llama 3.2 1B
mad_tag: pyt_train_llama-3.2-1b
model_repo: Llama-3.2-1B
url: https://huggingface.co/meta-llama/Llama-3.2-1B
precision: BF16
training_modes: [finetune_fw, finetune_lora]
- model: Llama 3.2 3B
mad_tag: pyt_train_llama-3.2-3b
model_repo: Llama-3.2-3B
url: https://huggingface.co/meta-llama/Llama-3.2-3B
precision: BF16
training_modes: [finetune_fw, finetune_lora]
- model: Llama 3.2 Vision 11B
mad_tag: pyt_train_llama-3.2-vision-11b
model_repo: Llama-3.2-Vision-11B
url: https://huggingface.co/meta-llama/Llama-3.2-11B-Vision
precision: BF16
training_modes: [finetune_fw]
- model: Llama 3.2 Vision 90B
mad_tag: pyt_train_llama-3.2-vision-90b
model_repo: Llama-3.2-Vision-90B
url: https://huggingface.co/meta-llama/Llama-3.2-90B-Vision
precision: BF16
training_modes: [finetune_fw]
- model: Llama 3.1 8B
mad_tag: pyt_train_llama-3.1-8b
model_repo: Llama-3.1-8B
url: https://huggingface.co/meta-llama/Llama-3.1-8B
precision: BF16
training_modes: [finetune_fw, finetune_lora]
- model: Llama 3.1 70B
mad_tag: pyt_train_llama-3.1-70b
model_repo: Llama-3.1-70B
url: https://huggingface.co/meta-llama/Llama-3.1-70B
precision: BF16
training_modes: [finetune_fw, finetune_lora, finetune_qlora]
- model: Llama 3.1 405B
mad_tag: pyt_train_llama-3.1-405b
model_repo: Llama-3.1-405B
url: https://huggingface.co/meta-llama/Llama-3.1-405B
precision: BF16
training_modes: [finetune_qlora, HF_finetune_lora]
- model: Llama 3 8B
mad_tag: pyt_train_llama-3-8b
model_repo: Llama-3-8B
url: https://huggingface.co/meta-llama/Meta-Llama-3-8B
precision: BF16
training_modes: [finetune_fw, finetune_lora]
- model: Llama 3 70B
mad_tag: pyt_train_llama-3-70b
model_repo: Llama-3-70B
url: https://huggingface.co/meta-llama/Meta-Llama-3-70B
precision: BF16
training_modes: [finetune_fw, finetune_lora]
- model: Llama 2 7B
mad_tag: pyt_train_llama-2-7b
model_repo: Llama-2-7B
url: https://github.com/meta-llama/llama-models/tree/main/models/llama2
precision: BF16
training_modes: [finetune_fw, finetune_lora, finetune_qlora]
- model: Llama 2 13B
mad_tag: pyt_train_llama-2-13b
model_repo: Llama-2-13B
url: https://github.com/meta-llama/llama-models/tree/main/models/llama2
precision: BF16
training_modes: [finetune_fw, finetune_lora]
- model: Llama 2 70B
mad_tag: pyt_train_llama-2-70b
model_repo: Llama-2-70B
url: https://github.com/meta-llama/llama-models/tree/main/models/llama2
precision: BF16
training_modes: [finetune_lora, finetune_qlora, HF_finetune_lora]