Keep faqs consistent with main

Signed-off-by: wangli <wangli858794774@gmail.com>

Author: Potabk

docs/source/faqs.md

@@ -5,6 +5,7 @@
 - [[v0.7.1rc1] FAQ & Feedback](https://github.com/vllm-project/vllm-ascend/issues/19)
 - [[v0.7.3rc1] FAQ & Feedback](https://github.com/vllm-project/vllm-ascend/issues/267)
 - [[v0.7.3rc2] FAQ & Feedback](https://github.com/vllm-project/vllm-ascend/issues/418)
+- [[v0.8.4rc1] FAQ & Feedback](https://github.com/vllm-project/vllm-ascend/issues/546)
 
 ## General FAQs
 
@@ -22,21 +23,21 @@ Below series are NOT supported yet:
 
 From a technical view, vllm-ascend support would be possible if the torch-npu is supported. Otherwise, we have to implement it by using custom ops. We are also welcome to join us to improve together.
 
-
 ### 2. How to get our docker containers?
 
 You can get our containers at `Quay.io`, e.g., [<u>vllm-ascend</u>](https://quay.io/repository/ascend/vllm-ascend?tab=tags) and [<u>cann</u>](https://quay.io/repository/ascend/cann?tab=tags).
 
 If you are in China, you can use `daocloud` to accelerate your downloading:
 
 ```bash
-TAG=vllm-ascend released tag you want to pull(eg: v0.7.3rc2)
+# Replace with tag you want to pull
+TAG=v0.7.3rc2
 docker pull m.daocloud.io/quay.io/ascend/vllm-ascend:$TAG
 ```
 
 ### 3. What models does vllm-ascend supports?
 
-Find more details [<u>here</u>](https://vllm-ascend.readthedocs.io/en/v0.7.3-dev/user_guide/supported_models.html).
+Find more details [<u>here</u>](https://vllm-ascend.readthedocs.io/en/latest/user_guide/supported_models.html).
 
 ### 4. How to get in touch with our community?
 
@@ -77,24 +78,33 @@ vllm-ascend is a plugin for vllm. Basically, the version of vllm-ascend is the s
 
 ### 9. Does vllm-ascend support Prefill Disaggregation feature?
 
-Currently, only 1P1D is supported by vllm. For vllm-ascend, it'll be done by [this PR](https://github.com/vllm-project/vllm-ascend/pull/539). For NPND, vllm is not stable and fully supported yet. We will make it stable and supported by vllm-ascend in the future.
+Currently, only 1P1D is supported by vllm. For vllm-ascend, it'll be done by [this PR](https://github.com/vllm-project/vllm-ascend/pull/432). For NPND, vllm is not stable and fully supported yet. We will make it stable and supported by vllm-ascend in the future.
 
 ### 10. Does vllm-ascend support quantization method?
 
-Currently, w8a8 quantization is supporeted with the integration of vllm-ascend and mindie-turbo, please use `pip install vllm-ascend[mindie-turbo]`
+Currently, w8a8 quantization is already supported by vllm-ascend originally on v0.8.4rc2 or heigher, If you're using vllm 0.7.3 version, w8a8 quantization is supporeted with the integration of vllm-ascend and mindie-turbo, please use `pip install vllm-ascend[mindie-turbo]`.
+
+### 11. How to run w8a8 DeepSeek model?
+
+Currently, w8a8 DeepSeek is working in process: [support AscendW8A8 quantization](https://github.com/vllm-project/vllm-ascend/pull/511)
 
-### 11. There is not output in log when loading models using vllm-ascend, How to solve it?
+Please run DeepSeek with BF16 now, follwing the [Multi-Node DeepSeek inferencing tutorail](https://vllm-ascend.readthedocs.io/en/main/tutorials/multi_node.html)
+
+### 12. There is not output in log when loading models using vllm-ascend, How to solve it?
 
 If you're using vllm 0.7.3 version, this is a known progress bar display issue in VLLM, which has been resolved in [this PR](https://github.com/vllm-project/vllm/pull/12428), please cherry-pick it locally by yourself. Otherwise, please fill up an issue.
 
-### 12. How vllm-ascend is tested
+### 13. How vllm-ascend is tested
 
 vllm-ascend is tested by functional test, performance test and accuracy test.
 
-- **Functional test**: we added CI, includes portion of vllm's native unit tests and vllm-ascend's own unit tests，on vllm-ascend's test, we test basic functionality and [supported features](https://vllm-ascend.readthedocs.io/en/v0.7.3-dev/user_guide/suppoted_features.html)
+- **Functional test**: we added CI, includes portion of vllm's native unit tests and vllm-ascend's own unit tests，on vllm-ascend's test, we test basic functionality、popular models availability and [supported features](https://vllm-ascend.readthedocs.io/en/latest/user_guide/suppoted_features.html) via e2e test
 
 - **Performance test**: we provide [benchmark](https://github.com/vllm-project/vllm-ascend/tree/main/benchmarks) tools for end-to-end performance benchmark which can easily to re-route locally, we'll publish a perf website like [vllm](https://simon-mo-workspace.observablehq.cloud/vllm-dashboard-v0/perf) does to show the performance test results for each pull request
 
 - **Accuracy test**: we're working on adding accuracy test to CI as well.
 
 Finnall, for each release, we'll publish the performance test and accuracy test report in the future.
+
+### 14. How to fix the error "InvalidVersion" when using vllm-ascend?
+It's usually because you have installed an dev/editable version of vLLM package. In this case, we provide the env variable `VLLM_VERSION` to let users specify the version of vLLM package to use. Please set the env variable `VLLM_VERSION` to the version of vLLM package you have installed. The format of `VLLM_VERSION` should be `X.Y.Z`.