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[Doc] Convert docs to use colon fences (#12471)

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Signed-off-by: Harry Mellor <19981378+hmellor@users.noreply.github.com>
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Harry Mellor
2025-01-29 03:38:29 +00:00
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docs/source/features/quantization/supported_hardware.md
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@@ -4,128 +4,129 @@
The table below shows the compatibility of various quantization implementations with different hardware platforms in vLLM:
```{list-table}
:::{list-table}
:header-rows: 1
:widths: 20 8 8 8 8 8 8 8 8 8 8
* - Implementation
- Volta
- Turing
- Ampere
- Ada
- Hopper
- AMD GPU
- Intel GPU
- x86 CPU
- AWS Inferentia
- Google TPU
* - AWQ
- ✗
- ✅︎
- ✅︎
- ✅︎
- ✅︎
- ✗
- ✅︎
- ✅︎
- ✗
- ✗
* - GPTQ
- ✅︎
- ✅︎
- ✅︎
- ✅︎
- ✅︎
- ✗
- ✅︎
- ✅︎
- ✗
- ✗
* - Marlin (GPTQ/AWQ/FP8)
- ✗
- ✗
- ✅︎
- ✅︎
- ✅︎
- ✗
- ✗
- ✗
- ✗
- ✗
* - INT8 (W8A8)
- ✗
- ✅︎
- ✅︎
- ✅︎
- ✅︎
- ✗
- ✗
- ✅︎
- ✗
- ✗
* - FP8 (W8A8)
- ✗
- ✗
- ✗
- ✅︎
- ✅︎
- ✅︎
- ✗
- ✗
- ✗
- ✗
* - AQLM
- ✅︎
- ✅︎
- ✅︎
- ✅︎
- ✅︎
- ✗
- ✗
- ✗
- ✗
- ✗
* - bitsandbytes
- ✅︎
- ✅︎
- ✅︎
- ✅︎
- ✅︎
- ✗
- ✗
- ✗
- ✗
- ✗
* - DeepSpeedFP
- ✅︎
- ✅︎
- ✅︎
- ✅︎
- ✅︎
- ✗
- ✗
- ✗
- ✗
- ✗
* - GGUF
- ✅︎
- ✅︎
- ✅︎
- ✅︎
- ✅︎
- ✅︎
- ✗
- ✗
- ✗
- ✗
```
- * Implementation
* Volta
* Turing
* Ampere
* Ada
* Hopper
* AMD GPU
* Intel GPU
* x86 CPU
* AWS Inferentia
* Google TPU
- * AWQ
* ✗
* ✅︎
* ✅︎
* ✅︎
* ✅︎
* ✗
* ✅︎
* ✅︎
* ✗
* ✗
- * GPTQ
* ✅︎
* ✅︎
* ✅︎
* ✅︎
* ✅︎
* ✗
* ✅︎
* ✅︎
* ✗
* ✗
- * Marlin (GPTQ/AWQ/FP8)
* ✗
* ✗
* ✅︎
* ✅︎
* ✅︎
* ✗
* ✗
* ✗
* ✗
* ✗
- * INT8 (W8A8)
* ✗
* ✅︎
* ✅︎
* ✅︎
* ✅︎
* ✗
* ✗
* ✅︎
* ✗
* ✗
- * FP8 (W8A8)
* ✗
* ✗
* ✗
* ✅︎
* ✅︎
* ✅︎
* ✗
* ✗
* ✗
* ✗
- * AQLM
* ✅︎
* ✅︎
* ✅︎
* ✅︎
* ✅︎
* ✗
* ✗
* ✗
* ✗
* ✗
- * bitsandbytes
* ✅︎
* ✅︎
* ✅︎
* ✅︎
* ✅︎
* ✗
* ✗
* ✗
* ✗
* ✗
- * DeepSpeedFP
* ✅︎
* ✅︎
* ✅︎
* ✅︎
* ✅︎
* ✗
* ✗
* ✗
* ✗
* ✗
- * GGUF
* ✅︎
* ✅︎
* ✅︎
* ✅︎
* ✅︎
* ✅︎
* ✗
* ✗
* ✗
* ✗
:::
- Volta refers to SM 7.0, Turing to SM 7.5, Ampere to SM 8.0/8.6, Ada to SM 8.9, and Hopper to SM 9.0.
- "✅︎" indicates that the quantization method is supported on the specified hardware.
- "✗" indicates that the quantization method is not supported on the specified hardware.
```{note}
:::{note}
This compatibility chart is subject to change as vLLM continues to evolve and expand its support for different hardware platforms and quantization methods.
For the most up-to-date information on hardware support and quantization methods, please refer to <gh-dir:vllm/model_executor/layers/quantization> or consult with the vLLM development team.
```
:::