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 9, 03:45 UTC
[Nightly CI] Remove CT Model (#33530)
Signed-off-by: Robert Shaw <robshaw@redhat.com> Co-authored-by: Robert Shaw <robshaw@redhat.com>
Robert Shaw committed
Feb 1, 2026 at 22:09 UTC
318b120766ad54e68a2eff02598f336772b3abda
1 file changed
-1
tests/weight_loading/models.txt
-1
@@ -19,7 +19,6 @@ compressed-tensors, nm-testing/tinyllama-oneshot-w8a16-per-channel, main
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compressed-tensors, nm-testing/Meta-Llama-3-8B-FP8-compressed-tensors-test, main
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compressed-tensors, nm-testing/Phi-3-mini-128k-instruct-FP8, main
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compressed-tensors, neuralmagic/Phi-3-medium-128k-instruct-quantized.w4a16, main
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-compressed-tensors, nm-testing/TinyLlama-1.1B-Chat-v1.0-actorder-group, main
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#compressed-tensors, mgoin/DeepSeek-Coder-V2-Lite-Instruct-FP8, main
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compressed-tensors, nm-testing/SparseLlama-3.1-8B-gsm8k-pruned.2of4-FP8-Dynamic-testing, main, 90
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compressed-tensors, nm-testing/SparseLlama-3.1-8B-gsm8k-pruned.2of4-W8A8-testing, main, 90