Update README for multinode #2348
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/torchtune/2348
Note: Links to docs will display an error until the docs builds have been completed. ❗ 1 Active SEVsThere are 1 currently active SEVs. If your PR is affected, please view them below: ✅ No FailuresAs of commit 2e622f2 with merge base 4b364f2 ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
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| | Quantization-Aware Training and LoRA Finetuning | | ✅ | | [qat_lora_finetune_distributed](recipes/qat_lora_finetune_distributed.py)| [Llama3 8B QAT](recipes/configs/llama3/8B_qat_lora.yaml) | ||
| | Direct Preference Optimization | ✅ | ✅ | | [lora_dpo_single_device](recipes/lora_dpo_single_device.py) <br> [lora_dpo_distributed](recipes/lora_dpo_distributed.py) | [Llama2 7B single-device](recipes/configs/llama2/7B_lora_dpo_single_device.yaml) <br> [Llama2 7B distributed](recipes/configs/llama2/7B_lora_dpo.yaml) | ||
| | Proximal Policy Optimization | ✅ | | | [ppo_full_finetune_single_device](recipes/ppo_full_finetune_single_device.py) | [Mistral 7B](recipes/configs/mistral/7B_full_ppo_low_memory.yaml) | ||
| | Knowledge Distillation | ✅ | | | [knowledge_distillation_single_device](recipes/knowledge_distillation_single_device.py) | [Qwen2 1.5B -> 0.5B](recipes/configs/qwen2/knowledge_distillation_single_device.yaml) |
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Oh wait while you're at it, we have a distributed KD recipe. Should update this
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Test plan
Please make sure to do each of the following if applicable to your PR. If you're unsure about any one of these just ask and we will happily help. We also have a contributing page for some guidance on contributing.
pre-commit install)pytest testspytest tests -m integration_testUX
If your function changed a public API, please add a dummy example of what the user experience will look like when calling it.
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and a tutorial example