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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 @@ -38,7 +38,7 @@ 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:e7249fa3c18189a825898832cc4d722d7f9c0160c29540ced793c833ab9f2432
image: ghcr.io/ggml-org/llama.cpp:server-vulkan@sha256:eddb40b8a348a652c8829ef036df9bbbae537755ae7026bf6d4b403840cd468e
# 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 @@ -32,7 +32,7 @@ spec:
# 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).
# Tracked by the llmkube-models Renovate customManager (.renovaterc.json5).
image: ghcr.io/ggml-org/llama.cpp:server-vulkan@sha256:e7249fa3c18189a825898832cc4d722d7f9c0160c29540ced793c833ab9f2432
image: ghcr.io/ggml-org/llama.cpp:server-vulkan@sha256:eddb40b8a348a652c8829ef036df9bbbae537755ae7026bf6d4b403840cd468e
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 @@ -50,7 +50,7 @@ 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:e7249fa3c18189a825898832cc4d722d7f9c0160c29540ced793c833ab9f2432
image: ghcr.io/ggml-org/llama.cpp:server-vulkan@sha256:eddb40b8a348a652c8829ef036df9bbbae537755ae7026bf6d4b403840cd468e
# 2 slots (the Vulkan floor — warmup hangs at parallel=1, llama.cpp #24307):
# the iGPU is compute-bound, so extra slots add interleave, not throughput
# (measured on qwen3-embedding: 4 slots didn't move latency, Q8_0 did). Two
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