hf_text-generation-inference/docs/source
Daniël de Kok a785000842
Add initial support for compressed-tensors checkpoints (#2732)
compressed-tensors is a safetensors extension for sparse, quantized
tensors. The format is more powerful than earlier AWQ/GPTQ/FP8
quantization, because

- Different quantizer configurations can be used for different targets.
- The format can specify input/output quantizers in addition to weight
  quantizers.
- Configurable exclusions for quantization.

This change adds a dependency on the `compressed-tensors` package for
its configuration parsing and layer matching functionality.

The following types of quantization are supported in this PR:

- W8A16 and W4A16 INT using GPTQ-Marlin kernels.
- W8A8 and W8A16 FP using FP8-Marlin and cutlass kernels.

Support for other quantization types will be added in subsequent PRs.
2024-11-10 13:54:07 +01:00
..
basic_tutorials
conceptual
reference
_toctree.yml
architecture.md
index.md
installation.md
installation_amd.md
installation_gaudi.md
installation_inferentia.md
installation_intel.md
installation_nvidia.md
quicktour.md
supported_models.md
usage_statistics.md