https://github.com/pytorch/torchtune Torchtune provides: PyTorch implementations of popular LLMs from Llama, Gemma, Mistral, Phi, and Qwen model families Hackable training recipes for full finetuning, LoRA, QLoRA, DPO, PPO, QAT, knowledge distillation, and more Out-of-the-box memory efficiency...
recipes configs dev __init__.py eleuther_eval.py full_finetune_distributed.py full_finetune_single_device.py generate.py knowledge_distillation_distributed.py knowledge_distillation_single_device.py lora_dpo_distributed.py lora_dpo_single_device.py lora_finetune_distributed.py lora_finetune_sin...
A Native-PyTorch Library for LLM Fine-tuning. Contribute to Optimox/torchtune development by creating an account on GitHub.
单卡微调:https://github.com/pytorch/torchtune/blob/main/recipes/full_finetune_single_device.py 分布式微调:https://github.com/pytorch/torchtune/blob/main/recipes/full_finetune_distributed.py 单卡LoRA:https://github.com/pytorch/torchtune/blob/main/recipes/lora_finetune_single_device.py 分布式LoRA...
from torch.distributed import destroy_process_group, init_process_group from torch.optim import Optimizer from torch.utils.data import DataLoader, DistributedSampler from torchtune import config, modules, training, utils from torchtune.config._utils import _get_component_from_path ...
使用torchtune,我们可以轻松地将知识蒸馏应用于 Llama3 以及其他 LLM 模型系列,这是通过使用 torchtune 的知识蒸馏配方(https://github.com/pytorch/torchtune/blob/4234b78b914af23384ce0348f564e2119d107a96/recipes/knowledge_distillation_single_device.py)实现的。这个配方的目标是通过从Llama3.1-8B蒸馏知识来...
This post demonstrates the use of SageMaker Training for running torchtune recipes through task-specific training jobs on separate compute clusters. SageMaker Training is a comprehensive, fully managed ML service that enables scalable model training. It provides flexible compute resource...
torchtune is a Python library designed to simplify fine-tune SLM/LLM models using PyTorch. torchtune stands out for its simplicity and flexibility, enabling users to perform fine-tuning, evaluation, and quantization effortlessly with minimal code through YAML-based reci...
torchtune is a Python library designed to simplify fine-tune SLM/LLM models using PyTorch. torchtune stands out for its simplicity and flexibility, enabling users to perform fine-tuning, evaluation, and quantization effortlessly with minimal code through YAML-based recipes. T...
(CLI) or using the SageMaker SDK for each individual step. In response, SageMaker spins up training jobs with the requested number and type of compute instances to run specific tasks. Each step defined in the diagram accesses torchtune recipes from anAmazon Simple Storage Servi...