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A high-throughput and memory-efficient inference and serving engine for LLMs

Mirrored from https://github.com/tduncan-lum/Nvidia-Optimization-Stack---VLLM.git

Synced Nov 14, 00:30 UTC

[CI Failure] Fix test_kv_cache_model_load_and_run (#27717)

Signed-off-by: Huamin Li <3ericli@gmail.com>

Huamin Li committed Oct 30, 2025 at 05:27 UTC 1994de99ea0bf8dd84257a19800f4f62526a7edf
1 file changed +12 -1
tests/quantization/test_fp8.py
+12 -1
@@ -49,7 +49,18 @@ def test_model_load_and_run(
49
50 KV_CACHE_MODELS = [
51 # AutoFP8 format using separate .k_scale and .v_scale
52 - "nm-testing/Qwen2-1.5B-Instruct-FP8-K-V",
52 + # The original checkpoint below was removed from the Hub. To unblock CI and
53 + # until a small replacement with split K/V scales is found, skip this case.
54 + # See PR #27717 for context.
55 + pytest.param(
56 + "nm-testing/Qwen2-1.5B-Instruct-FP8-K-V",
57 + marks=pytest.mark.skip(
58 + reason=(
59 + "Checkpoint removed from HF; temporarily disabling this "
60 + "AutoFP8 split K/V case (PR #27717)."
61 + )
62 + ),
63 + ),
64 ]
65
66