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@jinyangyuan-nvidia jinyangyuan-nvidia commented Jul 31, 2025

Summary by CodeRabbit

  • Bug Fixes
    • Improved compatibility with legacy checkpoints by updating internal configuration key handling for quantization settings.
    • Ensured correct assignment of quantization configuration in attention modules for more reliable model loading.

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@jinyangyuan-nvidia jinyangyuan-nvidia self-assigned this Jul 31, 2025
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coderabbitai bot commented Jul 31, 2025

📝 Walkthrough

Walkthrough

This change updates the DeepseekV3 model code to support legacy checkpoint compatibility by renaming quantization configuration keys from "fused_a" to "kv_a_proj_with_mqa". Adjustments are made in both the model constructor and the quantization config assignment logic to use the new key format consistently.

Changes

Cohort / File(s) Change Summary
DeepseekV3 quant config key renaming
tensorrt_llm/_torch/models/modeling_deepseekv3.py
Adds logic in DeepseekV3ForCausalLM.__init__ to rename quant_config_dict keys ending with "fused_a" to "kv_a_proj_with_mqa" for legacy checkpoint compatibility.
Attention quant config assignment update
tensorrt_llm/_torch/models/modeling_utils.py
Updates quant_config attribute assignment in DecoderModelForCausalLM.__post_init__ to use "kv_a_proj_with_mqa" instead of "fused_a" for DeepseekV3Attention modules.

Sequence Diagram(s)

sequenceDiagram
    participant User
    participant DeepseekV3ForCausalLM
    participant SuperClass

    User->>DeepseekV3ForCausalLM: Instantiate with model_config
    DeepseekV3ForCausalLM->>DeepseekV3ForCausalLM: Deepcopy model_config
    DeepseekV3ForCausalLM->>DeepseekV3ForCausalLM: Rename quant_config_dict keys "fused_a" -> "kv_a_proj_with_mqa"
    DeepseekV3ForCausalLM->>SuperClass: Call superclass __init__ with updated config
Loading

Estimated code review effort

🎯 2 (Simple) | ⏱️ ~7 minutes

Possibly related PRs

  • Rename layer to comply with deepseek #6393: Both PRs address renaming the key/attribute from "fused_a" to "kv_a_proj_with_mqa" in the DeepseekV3 model code to maintain compatibility and consistency, with the main PR adding preprocessing for legacy checkpoint keys and the retrieved PR renaming the attribute and updating weight-loading logic.

Suggested reviewers

  • yiqingy0
  • litaotju
  • chzblych

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📥 Commits

Reviewing files that changed from the base of the PR and between 8b5b161 and 10aa379.

📒 Files selected for processing (2)
  • tensorrt_llm/_torch/models/modeling_deepseekv3.py (2 hunks)
  • tensorrt_llm/_torch/models/modeling_utils.py (1 hunks)
🚧 Files skipped from review as they are similar to previous changes (2)
  • tensorrt_llm/_torch/models/modeling_utils.py
  • tensorrt_llm/_torch/models/modeling_deepseekv3.py
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@coderabbitai coderabbitai bot requested a review from Tracin July 31, 2025 02:02
@jinyangyuan-nvidia jinyangyuan-nvidia marked this pull request as ready for review July 31, 2025 04:09
@jinyangyuan-nvidia jinyangyuan-nvidia requested a review from a team as a code owner July 31, 2025 04:09
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@jinyangyuan-nvidia jinyangyuan-nvidia merged commit df90202 into NVIDIA:main Aug 4, 2025
3 checks passed
@jinyangyuan-nvidia jinyangyuan-nvidia deleted the dev/fix_deepseek_w4a8 branch August 4, 2025 02:12
lancelly pushed a commit to lancelly/TensorRT-LLM that referenced this pull request Aug 6, 2025
Signed-off-by: Jinyang Yuan <[email protected]>
Signed-off-by: Lanyu Liao <[email protected]>
jain-ria pushed a commit to jain-ria/TensorRT-LLM that referenced this pull request Aug 7, 2025
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