vLLM
High-throughput inference and serving engine for large language models
vLLM opens its 0.34 cycle by moving more models onto the Transformers backend
◆Recent moves
- 2d ago
v0.34.0rc2 trims GPU memory settings from docs and tests
The third 0.34 candidate; its only visible change stops docs and tests from setting gpu_memory_utilization. Three candidates in five days suggests the 0.34 final is close, but its feature set still isn't visible in the feed.
View source ↗ - 2d ago
v0.34.0rc1 fixes NaN handling in XPU speculative decoding
The second 0.34 candidate; its only visible change treats NaN as negative infinity in greedy argmax for speculative decoding on Intel XPU. Hardware-specific stabilisation, in line with the rest of the cycle.
View source ↗ - 5d ago
v0.34.0rc0 moves Gemma and StableLM to the Transformers backend
The first 0.34 candidate, whose only visible change migrates Gemma and StableLM onto the Transformers backend. It continues the consolidation pattern rather than adding user-facing capability.
View source ↗ - 14d ago
v0.33.0rc3 pins a test checkpoint before release
The fourth 0.33 candidate, whose only visible change pins a test checkpoint. Stabilisation ahead of the final release.
View source ↗ - 15d ago
v0.33.0rc2 fixes a large-GEMM overflow on AMD gfx950
Skips AITER-tuned GEMM on gfx950 when the matrix exceeds 2^31 elements, a ROCm overflow fix cherry-picked into the 0.33 candidate.
View source ↗ - 17d ago
v0.33.0rc1 fixes NVFP4 decode tests on DGX Spark
A CI fix for NVFP4 decode tests on DGX Spark, cherry-picked into the release branch. No user-facing change is visible.
View source ↗