Qwen
Qwen3.6-35B-A3B
Container
Qwen
Qwen3.6-35B-A3B

The Qwen3.6-35B-A3B NIM Container is a deployable inference container for serving Qwen3.6-35B-A3B, a third-party multimodal Mixture of Experts model capable of processing text, image, and video inputs for text generation.

LayerLabelCreated
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4LABEL
model.manifest.yaml=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
04/17/2026 1:47 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4USER
nvs:1000
04/17/2026 1:47 PM UTC
sha256:bc09b4513f002e2fca01a55d5ff83df9308bf3409726d25ce31e65bee5608159RUN
NIM_NAME=Qwen/Qwen3.6-35B-A3B NIM_MODEL_NAME=Qwen/Qwen3.6-35B-A3B MANIFEST_FILE=model_manifest.yaml TARGETARCH=amd64 chmod -R 777 /home/nvs/.cache
04/17/2026 1:47 PM UTC
sha256:c4ddca8b1589678e49b4a343b63bd2f0310320a7bd16cd6a05efa44c55506d33COPY
sglang-cache /home/nvs/.cache
04/17/2026 1:47 PM UTC
sha256:91af5be65476ef28f19e1d0668213c76e13985a5973cf0969c1314ff79b7d99eRUN
NIM_NAME=Qwen/Qwen3.6-35B-A3B NIM_MODEL_NAME=Qwen/Qwen3.6-35B-A3B MANIFEST_FILE=model_manifest.yaml TARGETARCH=amd64 if [ "${TARGETARCH}" = "arm64" ]; then cp /tmp/inference-gb10.py /opt/nim/inference.py; else cp /tmp/inference.py /opt/nim/inference.py; fi &&
  rm -f /tmp/inference-gb10.py /tmp/inference.py
04/17/2026 1:47 PM UTC
sha256:24f1cfe8fd2636d884af4895bda656f4d2d7f275e65812f22b1d4e42f4b4a05dCOPY
inference-gb10.py inference.py /tmp/
04/17/2026 1:47 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
TARGETARCH=amd64
04/17/2026 1:47 PM UTC
sha256:26bafb1f631b71b39d2c4dfa27582b12cdbf025ef708e6c2c025cd3d95a02fe7RUN
NIM_NAME=Qwen/Qwen3.6-35B-A3B NIM_MODEL_NAME=Qwen/Qwen3.6-35B-A3B MANIFEST_FILE=model_manifest.yaml cd /sgl-workspace/sglang &&
  patch -p1 --forward < anthropic-thinking-default-disabled.patch
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sha256:ead32a57d5ad2e0c5f2328e70461c14460d7af830db595fe4789db36cabe8e6dCOPY
./patch/anthropic-thinking-default-disabled.patch /sgl-workspace/sglang/anthropic-thinking-default-disabled.patch
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sha256:1644fdcc65123a585a3295623fc0dedb0215b7c871b53b600fbba54f6e380899RUN
NIM_NAME=Qwen/Qwen3.6-35B-A3B NIM_MODEL_NAME=Qwen/Qwen3.6-35B-A3B MANIFEST_FILE=model_manifest.yaml cd /sgl-workspace/sglang &&
  patch -p1 --forward < anthropic-thinking-type-widen.patch
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...