[megatron] qwen3.5 use megatron-core by Jintao-Huang · Pull Request #8126

[megatron] qwen3.5 use megatron-core by Jintao-Huang · Pull Request #8126 · modelscope/ms-swift

Summary of Changes

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This pull request significantly enhances the megatron-core framework by integrating specific support for Qwen3.5 models. It introduces advanced configuration options for attention mechanisms, allowing for fine-grained control over the distribution of linear and scaled dot-product attention layers. These changes ensure that Qwen3.5 models can be effectively built and utilized within the Megatron ecosystem, leveraging its distributed training capabilities.

Highlights

Qwen3.5 Integration: Enabled Qwen3.5 models to utilize megatron-core by configuring specific attention variants, layer normalization, and attention output gating.
Flexible Linear Attention Frequency: Introduced a new linear_attn_freq_type function and linear_attention_freq configuration option, allowing for highly customizable patterns of linear attention and scaled dot-product attention layers within the model architecture.
Model Configuration Refinements: Updated MegatronModelConfig to include new parameters relevant to Qwen3.5's attention mechanisms and adjusted the processing of frequency parameters to support string-based pattern definitions.

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Changelog

swift/megatron/model/gpts/qwen3_next.py
- Removed a TODO comment related to layernorm_zero_centered_gamma.
- Explicitly set enorm submodule to Qwen3NextRMSNorm within get_mtp_block_spec.
swift/megatron/model/model_config.py
- Added linear_attn_freq_type function with detailed documentation for defining linear attention layer patterns.
- Changed the default type of moe_layer_freq from integer 1 to string '1'.
- Reordered and added new configuration parameters for Qwen3_next/Qwen3_5 models in MegatronModelConfig, including experimental_attention_variant, linear_attention_freq, and attention_output_gate.
- Removed the layer_types parameter from MegatronModelConfig.
- Updated _format_config to process linear_attention_freq using the new linear_attn_freq_type function.
- Modified _HF_CONFIG_MAP to correctly map linear_attention_freq to full_attention_interval and adjust other Qwen3_next related mappings.
- Revised convert_hf_config for qwen3_next and qwen3_5 models to directly set experimental_attention_variant, layernorm_zero_centered_gamma, attention_output_gate, and linear_attention_freq.

Activity

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