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Daniël de Kok 628d6a13da Add support for exl2 quantization 
Mostly straightforward, changes to existing code:

* Wrap quantizer parameters in a small wrapper to avoid passing
  around untyped tuples and needing to repack them as a dict.
* Move scratch space computation to warmup, because we need the
  maximum input sequence length to avoid allocating huge
  scratch buffers that OOM.
2024-09-24 03:19:39 +00:00
..
basic_tutorials Add support for exl2 quantization 2024-09-24 03:19:39 +00:00
conceptual Add support for exl2 quantization 2024-09-24 03:19:39 +00:00
_toctree.yml feat: add train medusa head tutorial (#1934) 2024-07-17 05:36:58 +00:00
index.md fix typos in docs and add small clarifications (#1790) 2024-06-10 09:24:52 +03:00
installation_amd.md ROCm: make CK FA2 default instead of Triton (#1924) 2024-07-17 05:36:58 +00:00
installation_gaudi.md MI300 compatibility (#1764) 2024-07-17 05:36:58 +00:00
installation_inferentia.md MI300 compatibility (#1764) 2024-07-17 05:36:58 +00:00
installation_nvidia.md MI300 compatibility (#1764) 2024-07-17 05:36:58 +00:00
installation.md MI300 compatibility (#1764) 2024-07-17 05:36:58 +00:00
messages_api.md chore: add pre-commit (#1569) 2024-04-24 15:32:02 +03:00
quicktour.md MI300 compatibility (#1764) 2024-07-17 05:36:58 +00:00
supported_models.md Creating doc automatically for supported models. (#1929) 2024-07-17 05:36:58 +00:00