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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.
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104 changes: 104 additions & 0 deletions
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...ts/models/__snapshots__/test_compressed_tensors_w8an_fp/test_compressed_tensors_w8an.json
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