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[pytorch][bugfix]qwen3-coder-next support Co-authored-by: mhh111<mahonghao1@huawei.com> # message auto-generated for no-merge-commit merge: !4176 merge master333 into master [pytorch][bugfix]qwen3-coder-next support Created-by: mhh111 Commit-by: mhh111 Merged-by: ascend-robot Description: [pytorch][bugfix]qwen3-coder-next support See merge request: Ascend/MindSpeed-LLM!4176 | 6 个月前 | |
[pytorch][bugfix]qwen3-coder-next support Co-authored-by: mhh111<mahonghao1@huawei.com> # message auto-generated for no-merge-commit merge: !4176 merge master333 into master [pytorch][bugfix]qwen3-coder-next support Created-by: mhh111 Commit-by: mhh111 Merged-by: ascend-robot Description: [pytorch][bugfix]qwen3-coder-next support See merge request: Ascend/MindSpeed-LLM!4176 | 6 个月前 | |
[pytorch][feature]qwen3-coder-next support Co-authored-by: mhh111<mahonghao1@huawei.com> # message auto-generated for no-merge-commit merge: !4172 merge master333 into master [pytorch][feature]qwen3-coder-next support Created-by: mhh111 Commit-by: mhh111 Merged-by: ascend-robot Description: [pytorch][feature]qwen3-coder-next support See merge request: Ascend/MindSpeed-LLM!4172 | 6 个月前 | |
[pytorch][feature]qwen3-coder-next support Co-authored-by: mhh111<mahonghao1@huawei.com> # message auto-generated for no-merge-commit merge: !4172 merge master333 into master [pytorch][feature]qwen3-coder-next support Created-by: mhh111 Commit-by: mhh111 Merged-by: ascend-robot Description: [pytorch][feature]qwen3-coder-next support See merge request: Ascend/MindSpeed-LLM!4172 | 6 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 | 4 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 | 4 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 | 17 天前 | |
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 | 17 天前 |
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