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Fix JSON-mode smoke on Linux: bump quant, keep the hard Paris assert (#6138)

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At UD-IQ2_XXS the temp-0 greedy answer to the capital-of-France probe is
hardware dependent: GitHub ubuntu runners deterministically answer
city=France while other CPUs answer Paris, because the 2-bit argmax
flips with the SIMD kernel path. Seeds do not rescue it: a staging-fork
sweep on the affected runners measured 1/5 Paris at temp 0.7 and 1/5 at
temp 1.0 (different winning seeds on different hardware), so a
retry-across-seeds assert would still flake about a third of runs.

The same sweep on UD-Q4_K_XL answered Paris 13/13 across temp 0, 0.7
and 1.0 with 5 seeds each, including 3x deterministic greedy. Bump the
job's quant (roughly 570 MiB to 1.1 GiB, cache key already includes the
variant) and leave the assertion exactly as it was.
This commit is contained in:
Daniel Han 2026-06-10 06:10:03 -07:00 • committed by GitHub
commit 7cbf428b0a
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1 changed files with 9 additions and 3 deletions
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12
.github/workflows/studio-inference-smoke.yml vendored
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@ -20,7 +20,7 @@
# enable_tools / enabled_tools, and enable_thinking on/off.
#
# 3. JSON, images
# Qwen3-VL-2B-Instruct UD-IQ2_XXS (~570 MiB) + mmproj-F16 (~780 MiB).
# Qwen3-VL-2B-Instruct UD-Q4_K_XL (~1.1 GiB) + mmproj-F16 (~780 MiB).
# response_format JSON-schema decoding and OpenAI image_url
# (data URI) plus Anthropic source/base64 image inputs.
#
@ -792,8 +792,14 @@ jobs:
timeout-minutes: 30
env:
GGUF_REPO: unsloth/Qwen3-VL-2B-Instruct-GGUF
GGUF_VARIANT: UD-IQ2_XXS
GGUF_FILE: Qwen3-VL-2B-Instruct-UD-IQ2_XXS.gguf
# UD-Q4_K_XL, not UD-IQ2_XXS: at 2-bit the temp-0 answer to the JSON
# step's capital-of-France probe flips with the host's SIMD kernels
# (GitHub runners deterministically answered France while other CPUs
# answer Paris; seeds do not rescue it, 1/5 Paris at temp 0.7). The
# Q4 quant answered Paris 13/13 across temps and seeds on the same
# runners, so the hard Paris assertion below stays reliable.
GGUF_VARIANT: UD-Q4_K_XL
GGUF_FILE: Qwen3-VL-2B-Instruct-UD-Q4_K_XL.gguf
MMPROJ_FILE: mmproj-F16.gguf
STUDIO_PORT: '18890'
HF_HOME: ${{ github.workspace }}/hf-cache