[Bugfix] DeepSeek V4: support transformers >= 4.57 normalized compress_ratios (AMD + NVIDIA)#44031
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…s_ratios (AMD + NVIDIA) `DeepseekV4Attention.__init__` reads `config.compress_ratios[layer_id]` directly. transformers >= 4.57 normalizes the same JSON field on `DeepseekV4Config.__init__` into `layer_types` (list[str]) + `compress_rates` (dict[str, int]) and stops exposing `compress_ratios`, so every DSV4 model fails to load with: AttributeError: 'DeepseekV4Config' object has no attribute 'compress_ratios'. Did you mean: 'compress_rates'? Read from the normalized fields when `compress_ratios` is absent. The per-layer ratio is reconstructed via the documented 1-to-1 mapping `compress_ratios[i] == compress_rates.get(layer_types[i], 0)`, and the existing `max(1, ...)` clamp keeps the downstream invariant (compress ratio is never 0) intact. Legacy configs with `compress_ratios` keep the original code path, so anyone pinning a pre-4.57 transformers stack sees no behavior change. After vllm-project#43004 ([Model Refactoring] Migrate DeepSeek V4 to vllm/models/) the single `vllm/model_executor/models/deepseek_v4.py` file split into per-backend forks under `vllm/models/deepseek_v4/{amd,nvidia}/model.py`, and both forks carry the same buggy direct attribute access. The same fix is applied to both files. A one-line comment above the new branch references vllm-project#42741; the legacy branch is left uncommented (current code style on the line). Fixes vllm-project#42741 Signed-off-by: Dhruvil <dhruvilparikh79@gmail.com>
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What does this PR do?
DeepseekV4Attention.__init__in bothvllm/models/deepseek_v4/nvidia/model.pyandvllm/models/deepseek_v4/amd/model.pyreadsconfig.compress_ratios[layer_id]directly. transformers >= 4.57 normalizes the same JSON field onDeepseekV4Config.__init__intolayer_types(list[str]) +compress_rates(dict[str, int]) and stops exposingcompress_ratios, so every DSV4 model fails to load with:Read from the normalized fields when
compress_ratiosis absent. The per-layer ratio is reconstructed via the documented 1-to-1 mappingcompress_ratios[i] == compress_rates.get(layer_types[i], 0), and the existingmax(1, ...)clamp keeps the downstream invariant (compress ratio is never 0) intact. Legacy configs withcompress_ratioskeep the original code path, so anyone pinning a pre-4.57 transformers stack sees no behavior change.After #43004 ([Model Refactoring] Migrate DeepSeek V4 to
vllm/models/) the singlevllm/model_executor/models/deepseek_v4.pyfile split into per-backend forks undervllm/models/deepseek_v4/{amd,nvidia}/model.py, and both forks carry the same buggy direct attribute access. The same fix is applied to both.Replaces #42806 (against the pre-migration
vllm/model_executor/models/deepseek_v4.py).Closes #42741
Test Plan
compress_ratiosis absent) via CI.compress_ratiospath) via CI.Duplicate-work check
gh pr list --repo vllm-project/vllm --state open --search "deepseek_v4 compress_ratios transformers"returns nothing else for #42741. Pre-migration sibling #42806 is being closed in favor of this PR.AI Assistance Disclosure
Drafted with Claude assistance. I am the human contributor accountable for this PR; I read every changed line, confirmed the AMD and NVIDIA forks carry byte-identical direct
config.compress_ratios[layer_id]accesses inDeepseekV4Attention.__init__, and verified the normalized-field reconstruction against the documented 1-to-1 mapping.