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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 13, 17:00 UTC

[Structured outputs] Upgrade llguidance to 1.3.0 (#28039)

Signed-off-by: Andy Lo <andy@mistral.ai> Co-authored-by: Russell Bryant <rbryant@redhat.com>

Andy Lo committed Nov 6, 2025 at 18:24 UTC 5e0c1fe69c516fe4796965185c7d7ca503e44e92
1 file changed +1 -1
requirements/common.txt
+1 -1
@@ -19,7 +19,7 @@ pillow # Required for image processing
19 prometheus-fastapi-instrumentator >= 7.0.0
20 tiktoken >= 0.6.0 # Required for DBRX tokenizer
21 lm-format-enforcer == 0.11.3
22 -llguidance >= 0.7.11, < 0.8.0; platform_machine == "x86_64" or platform_machine == "arm64" or platform_machine == "aarch64" or platform_machine == "s390x"
22 +llguidance >= 1.3.0, < 1.4.0; platform_machine == "x86_64" or platform_machine == "arm64" or platform_machine == "aarch64" or platform_machine == "s390x"
23 outlines_core == 0.2.11
24 # required for outlines backend disk cache
25 diskcache == 5.6.3