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[Doc] Update supported_hardware.rst (#7276)

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docs/source/quantization/supported_hardware.rst
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...@@ -5,18 +5,20 @@ Supported Hardware for Quantization Kernels ...@@ -5,18 +5,20 @@ Supported Hardware for Quantization Kernels
The table below shows the compatibility of various quantization implementations with different hardware platforms in vLLM: The table below shows the compatibility of various quantization implementations with different hardware platforms in vLLM:
============== ====== ======= ======= ===== ====== ======= ========= ======= ============== ========== ===================== ====== ======= ======= ===== ====== ======= ========= ======= ============== ==========
Implementation Volta Turing Ampere Ada Hopper AMD GPU Intel GPU x86 CPU AWS Inferentia Google TPU Implementation Volta Turing Ampere Ada Hopper AMD GPU Intel GPU x86 CPU AWS Inferentia Google TPU
============== ====== ======= ======= ===== ====== ======= ========= ======= ============== ========== ===================== ====== ======= ======= ===== ====== ======= ========= ======= ============== ==========
AQLM ✅ ✅ ✅ ✅ ✅ ❌ ❌ ❌ ❌ ❌
AWQ ❌ ✅ ✅ ✅ ✅ ❌ ❌ ❌ ❌ ❌ AWQ ❌ ✅ ✅ ✅ ✅ ❌ ❌ ❌ ❌ ❌
DeepSpeedFP ✅ ✅ ✅ ✅ ✅ ❌ ❌ ❌ ❌ ❌
FP8 ❌ ❌ ✅ ✅ ✅ ❌ ❌ ❌ ❌ ❌
Marlin ❌ ❌ ✅ ✅ ✅ ❌ ❌ ❌ ❌ ❌
GPTQ ✅ ✅ ✅ ✅ ✅ ❌ ❌ ❌ ❌ ❌ GPTQ ✅ ✅ ✅ ✅ ✅ ❌ ❌ ❌ ❌ ❌
SqueezeLLM ✅ ✅ ✅ ✅ ✅ ❌ ❌ ❌ ❌ ❌ Marlin (GPTQ/AWQ/FP8) ❌ ❌ ✅ ✅ ✅ ❌ ❌ ❌ ❌ ❌
INT8 (W8A8) ❌ ✅ ✅ ✅ ✅ ❌ ❌ ❌ ❌ ❌
FP8 (W8A8) ❌ ❌ ❌ ✅ ✅ ❌ ❌ ❌ ❌ ❌
AQLM ✅ ✅ ✅ ✅ ✅ ❌ ❌ ❌ ❌ ❌
bitsandbytes ✅ ✅ ✅ ✅ ✅ ❌ ❌ ❌ ❌ ❌ bitsandbytes ✅ ✅ ✅ ✅ ✅ ❌ ❌ ❌ ❌ ❌
============== ====== ======= ======= ===== ====== ======= ========= ======= ============== ========== DeepSpeedFP ✅ ✅ ✅ ✅ ✅ ❌ ❌ ❌ ❌ ❌
GGUF ✅ ✅ ✅ ✅ ✅ ❌ ❌ ❌ ❌ ❌
SqueezeLLM ✅ ✅ ✅ ✅ ✅ ❌ ❌ ❌ ❌ ❌
===================== ====== ======= ======= ===== ====== ======= ========= ======= ============== ==========
Notes: Notes:
^^^^^^ ^^^^^^
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