[Doc] int4 w4a16 example (#12585)

Based on a request by @mgoin , with @kylesayrs we have added an example
doc for int4 w4a16 quantization, following the pre-existing int8 w8a8
quantization example and the example available in
[`llm-compressor`](https://github.com/vllm-project/llm-compressor/blob/main/examples/quantization_w4a16/llama3_example.py)

FIX #n/a (no issue created)

@kylesayrs and I have discussed a couple additional improvements for the
quantization docs. We will revisit at a later date, possibly including:
- A section for "choosing the correct quantization scheme/ compression
technique"
- Additional vision or audio calibration datasets

---------

Signed-off-by: Brian Dellabetta <bdellabe@redhat.com>
Co-authored-by: Michael Goin <michael@neuralmagic.com>

docs/source/features/quantization/int8.md

@@ -8,7 +8,7 @@ This quantization method is particularly useful for reducing model size while ma
 Please visit the HF collection of [quantized INT8 checkpoints of popular LLMs ready to use with vLLM](https://huggingface.co/collections/neuralmagic/int8-llms-for-vllm-668ec32c049dca0369816415).
 
 :::{note}
-INT8 computation is supported on NVIDIA GPUs with compute capability > 7.5 (Turing, Ampere, Ada Lovelace, Hopper).
+INT8 computation is supported on NVIDIA GPUs with compute capability > 7.5 (Turing, Ampere, Ada Lovelace, Hopper, Blackwell).
 :::
 
 ## Prerequisites
@@ -132,4 +132,4 @@ Quantized models can be sensitive to the presence of the `bos` token. Make sure
 
 ## Troubleshooting and Support
 
-If you encounter any issues or have feature requests, please open an issue on the `vllm-project/llm-compressor` GitHub repository.
+If you encounter any issues or have feature requests, please open an issue on the [`vllm-project/llm-compressor`](https://github.com/vllm-project/llm-compressor) GitHub repository.