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build(vllm-tensorizer): Bump vllm to v0.19.1, pin transformers 5.5.4 + nixl 1.0.0 #153

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Merged
alexeldeib merged 3 commits into from
Apr 23, 2026
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build(vllm-tensorizer): Bump vllm to v0.19.1, pin transformers 5.5.4 + nixl 1.0.0 #153

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e9b854a
build(vllm-tensorizer): Bump vllm to v0.19.1, pin transformers 5.5.4 …
c2w-sea Apr 22, 2026
24b0ba0
chore(vllm-tensorizer): Shorten pin-rationale comments
c2w-sea Apr 22, 2026
b4d9159
docs(vllm-tensorizer): Link nixl pin to vllm-project/vllm#40642
c2w-sea Apr 22, 2026
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2 changes: 1 addition & 1 deletion .github/configurations/vllm-tensorizer.yml
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Original file line number Diff line number Diff line change
@@ -1,5 +1,5 @@
vllm-commit:
- 'v0.19.0'
- 'v0.19.1'
flashinfer-commit:
- 'v0.6.6'
lmcache-commit:
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9 changes: 6 additions & 3 deletions vllm-tensorizer/Dockerfile
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Expand Up @@ -293,8 +293,9 @@ ARG TARGETPLATFORM
# Ray was removed as a default dependancy by vllm in v18, but it is still required
# for the multi-node setup.

# Gemma 4 needs transformers > 5.5.0, but is packaged with 4 in vllm 19.
# We must explicitly update it until vLLM updates their dependency.
# * Gemma 4 needs transformers > 5.5.0
# * Kimi K2.5 tool-call scramble fixed in transformers 5.5.4 (huggingface/transformers#45359)
# * Kimi K2.5 registry-subprocess SIGSEGV on GB200 with nixl-cu12 1.0.1 (vllm-project/vllm#40642) — pin both to 1.0.0

RUN if [ "$TARGETPLATFORM" = "linux/arm64" ]; then \
BITSANDBYTES_VER='0.42.0'; \
Expand All @@ -303,7 +304,9 @@ RUN if [ "$TARGETPLATFORM" = "linux/arm64" ]; then \
fi && \
python3 -m pip install --no-cache-dir \
accelerate hf_transfer 'modelscope!=1.15.0' "bitsandbytes>=${BITSANDBYTES_VER:?}" 'timm>=1.0.17' \
'runai-model-streamer[s3,gcs]>=0.15.3' "ray[cgraph]>=2.48.0" "transformers>=5.5.0" -c /tmp/constraints.txt && \
'runai-model-streamer[s3,gcs]>=0.15.3' "ray[cgraph]>=2.48.0" \
'transformers==5.5.4' 'nixl==1.0.0' 'nixl-cu12==1.0.0' \
-c /tmp/constraints.txt && \
rm /tmp/constraints.txt

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