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Harry Mellor ba5c5e5404 [Docs] Switch to better markdown linting pre-commit hook (#21851 )

Signed-off-by: Harry Mellor <19981378+hmellor@users.noreply.github.com>

2025-07-29 19:45:08 -07:00

auto_awq.md

Stop using title frontmatter and fix doc that can only be reached by search (#20623 )

2025-07-08 03:27:40 -07:00

auto_round.md

[Docs] Switch to better markdown linting pre-commit hook (#21851 )

2025-07-29 19:45:08 -07:00

bitblas.md

[Docs] Fix hardcoded links in docs (#21287 )

2025-07-21 02:23:57 -07:00

bnb.md

Stop using title frontmatter and fix doc that can only be reached by search (#20623 )

2025-07-08 03:27:40 -07:00

fp8.md

[Misc] unify variable for LLM instance (#20996 )

2025-07-21 12:18:33 +01:00

gguf.md

Stop using title frontmatter and fix doc that can only be reached by search (#20623 )

2025-07-08 03:27:40 -07:00

gptqmodel.md

Stop using title frontmatter and fix doc that can only be reached by search (#20623 )

2025-07-08 03:27:40 -07:00

inc.md

Support FP8 Quantization and Inference Run on Intel Gaudi (HPU) using INC (Intel Neural Compressor) (#12010 )

2025-07-16 15:33:41 -04:00

int4.md

[Docs] Switch to better markdown linting pre-commit hook (#21851 )

2025-07-29 19:45:08 -07:00

int8.md

[Misc] unify variable for LLM instance (#20996 )

2025-07-21 12:18:33 +01:00

modelopt.md

Make distinct code and console admonitions so readers are less likely to miss them (#20585 )

2025-07-07 19:55:28 -07:00

quantized_kvcache.md

[Docs] Switch to better markdown linting pre-commit hook (#21851 )

2025-07-29 19:45:08 -07:00

quark.md

[Docs] Switch to better markdown linting pre-commit hook (#21851 )

2025-07-29 19:45:08 -07:00

README.md

[Docs] add auto-round quantization readme (#21600 )

2025-07-25 08:52:42 -07:00

supported_hardware.md

[Docs] Minimize spacing for supported_hardware.md table (#21779 )

2025-07-28 18:46:39 -07:00

torchao.md

[Docs] Switch to better markdown linting pre-commit hook (#21851 )

2025-07-29 19:45:08 -07:00

README.md

Quantization

Quantization trades off model precision for smaller memory footprint, allowing large models to be run on a wider range of devices.

Contents: