| 文件 | 最后提交记录 | 最后更新时间 |
|---|---|---|
fix: modify the seed-oss fine-tuning script Co-authored-by: EVA1<jingsiyu1@huawei.com> # message auto-generated for no-merge-commit merge: !4462 merge master into master fix: modify the seed-oss fine-tuning script Created-by: EVA1 Commit-by: EVA1 Merged-by: ascend-robot Description: Modify the seed-oss fine-tuning script to add weight conversion parameters and dataset conversion parameters. See merge request: Ascend/MindSpeed-LLM!4462 | 4 个月前 | |
[pytorch][bugfix]in variable_seq_lengths mode, set --log-throughput to false Co-authored-by: sunjunjie1587<sunjunjie8@huawei.com> | 11 个月前 | |
[pytorch][bugfix]in variable_seq_lengths mode, set --log-throughput to false Co-authored-by: sunjunjie1587<sunjunjie8@huawei.com> | 11 个月前 | |
fix(pytorch):add ckpt-format argument to scripts Co-authored-by: z__y<z4t155664@163.com> # message auto-generated for no-merge-commit merge: !4371 merge add_ckpt_torch_dist_argument_for_shells into master fix(pytorch):add ckpt-format argument to scripts Created-by: z__y Commit-by: z__y Merged-by: ascend-robot Description: ## What this PR does / why we need it? This PR explicitly adds ckpt-format torch to all repository scripts to support the asynchronous checkpoint saving feature. ## Does this PR introduce any user-facing change? No. This change only adjusts internal script parameters to maintain existing behavior. There are no user-facing API or usage changes. ## How was this patch tested? Tests confirm that asynchronous checkpoint saving works correctly and that the original torch format checkpoint behavior is preserved. See merge request: Ascend/MindSpeed-LLM!4371 | 6 个月前 | |
fix: enable train_from_hf for legacy scripts Co-authored-by: daixzh<daixuezheng@huawei.com> # message auto-generated for no-merge-commit merge: !4642 merge Train_from_HF into master fix: enable train_from_hf for legacy scripts Created-by: daixzh Commit-by: daixzh Merged-by: ascend-robot Description: ## What this PR does / why we need it? MindSpeed-LLM now supports online loading of datasets and model weights during training, but the legacy scripts in /examples/mcore have not yet been enabled to use this new feature. This PR enables these pretraining and fine-tuning scripts to use online data and weight loading. reference: [https://gitcode.com/Ascend/MindSpeed-LLM/blob/master/docs/zh/pytorch/training/pretrain/mcore/train_from_hf.md](https://gitcode.com/Ascend/MindSpeed-LLM/blob/master/docs/zh/pytorch/training/pretrain/mcore/train_from_hf.md) ## Does this PR introduce any user-facing change? The updated scripts integrate data preprocessing, weight conversion, and training into a single workflow, allowing users to launch training jobs with a single script. ## How was this patch tested? This PR was validated through smoke testing. See merge request: Ascend/MindSpeed-LLM!4642 | 3 个月前 | |
feat: extend train_from_hf support for legacy scripts Co-authored-by: daixzh<daixuezheng@huawei.com> # message auto-generated for no-merge-commit merge: !4880 merge Train_from_HF into master feat: extend train_from_hf support for legacy scripts Created-by: daixzh Commit-by: daixzh Merged-by: ascend-robot Description: ## What this PR does / why we need it? Enabled automatic data preprocessing for all training scripts under examples and tests/poc. Enabled automatic weight conversion for training scripts of all models below 300B parameters under examples and tests/poc (excluding DeepSeek3, DeepSeek4, and LongCat). ## Does this PR introduce any user-facing change? The updated scripts integrate data preprocessing, weight conversion, and training into a single workflow, allowing users to launch training jobs with a single script. The default --tokenizer-type in the Llama2 training script has been changed from Llama2Tokenizer to PretrainedFormHF, and --tokenizer-model ${TOKENIZER_MODEL} has been changed to --tokenizer-name-or-path ${TOKENIZER_MODEL}. TOKENIZER_MODEL only needs to be configured to the directory containing the target model's tokenizer. ## How was this patch tested? This PR was validated through smoke testing. See merge request: Ascend/MindSpeed-LLM!4880 | 1 个月前 |