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@trevor-m trevor-m commented Nov 8, 2025

Motivation

Potential fix for #12841

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Accuracy Tests

Benchmarking and Profiling

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Summary of Changes

Hello @trevor-m, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request introduces a targeted modification to the deepseek_v2 model's weight loading mechanism. Specifically, it disables the fusion of wk and weights_proj when the is_nextn flag is active. This adjustment is intended to address a reported bug by ensuring proper weight management under specific operational conditions, thereby improving model stability or correctness.

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Code Review

This pull request correctly disables the wk and weight_proj fusion for nextn models by adding and not is_nextn to the condition. This appears to be a good fix for the underlying issue. I have one minor suggestion to improve the readability of the code.

Comment on lines 3486 to 3489
# Fuse wk and weights_proj when NSA Indexer is enabled and quant_config is FP4. For nextn, fp4 is disabled so we cannot fuse.
fuse_wk_and_weights_proj = is_nsa_indexer_wk_and_weights_proj_fused(
self.config, self.quant_config
)
) and not is_nextn
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medium

The logic is correct. For better readability, the boolean expression can be enclosed in a single set of parentheses. Additionally, the comment can be made more concise to focus on the specific reason for the change.

# For nextn, fp4 is disabled, so we cannot fuse wk and weights_proj.
fuse_wk_and_weights_proj = (is_nsa_indexer_wk_and_weights_proj_fused(
    self.config, self.quant_config
) and not is_nextn)

@trevor-m trevor-m changed the title Draft: Don't fuse wk+weight_proj for nextn Don't fuse wk+weight_proj for nextn Nov 8, 2025
@Fridge003 Fridge003 added the format Auto Format Code label Nov 11, 2025
@Fridge003 Fridge003 merged commit 151e136 into sgl-project:main Nov 12, 2025
3 of 21 checks passed
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3 participants