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2 changes: 1 addition & 1 deletion kubernetes/apps/ai/llmkube/models/qwen3-embedding.yaml
Original file line number Diff line number Diff line change
Expand Up @@ -36,7 +36,7 @@ spec:
# Native upstream GTT-leak mitigation in LLMKube >=0.9.10; lifetime includes
# startup and model load before this Vulkan embedder is recycled.
maxPodLifetimeSeconds: 86400
image: ghcr.io/ggml-org/llama.cpp:server-vulkan@sha256:31bca24d4ecd1ee8decae5d626ae833bb5d34b94ba9d2f308e7cedcd6bb3e247
image: ghcr.io/ggml-org/llama.cpp:server-vulkan@sha256:5b69b5a99886b6bdc24c281b9a041c21e0e9d5502018c55098d4b09cac6ee5a4
# Two slots are the Vulkan-safe floor; more interleaving did not improve
# throughput on this compute-bound iGPU. VMCP has its own embedder now.
parallelSlots: 2 # Vulkan warmup hangs at parallel=1 (llama.cpp #24307)
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2 changes: 1 addition & 1 deletion kubernetes/apps/ai/llmkube/models/qwen35-2b.yaml
Original file line number Diff line number Diff line change
Expand Up @@ -33,7 +33,7 @@ spec:
modelRef: qwen35-2b
# Must be recent enough for Qwen3.5's GDN (Gated Delta Networks) architecture;
# verified to load `qwen35` and run GDN fully on Vulkan (no CPU fallback).
image: ghcr.io/ggml-org/llama.cpp:server-vulkan@sha256:31bca24d4ecd1ee8decae5d626ae833bb5d34b94ba9d2f308e7cedcd6bb3e247
image: ghcr.io/ggml-org/llama.cpp:server-vulkan@sha256:5b69b5a99886b6bdc24c281b9a041c21e0e9d5502018c55098d4b09cac6ee5a4
parallelSlots: 2 # Vulkan warmup hangs at parallel=1 (llama.cpp #24307)
contextSize: 16384 # GDN keeps KV tiny, so long ctx is cheap; 16K is plenty for offload
jinja: true # use the model's chat template (correct Qwen3.5 formatting + tool calls)
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2 changes: 1 addition & 1 deletion kubernetes/apps/ai/llmkube/models/vmcp-embedding.yaml
Original file line number Diff line number Diff line change
Expand Up @@ -42,7 +42,7 @@ spec:
# Native upstream GTT-leak mitigation in LLMKube >=0.9.10; lifetime includes
# startup and model load before this Vulkan embedder is recycled.
maxPodLifetimeSeconds: 86400
image: ghcr.io/ggml-org/llama.cpp:server-vulkan@sha256:31bca24d4ecd1ee8decae5d626ae833bb5d34b94ba9d2f308e7cedcd6bb3e247
image: ghcr.io/ggml-org/llama.cpp:server-vulkan@sha256:5b69b5a99886b6bdc24c281b9a041c21e0e9d5502018c55098d4b09cac6ee5a4
# Vulkan floor is 2 — warmup hangs at parallel=1 (llama.cpp #24307). The iGPU
# is compute-bound, so more slots add interleave, not throughput.
parallelSlots: 2
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