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[Doc] Update FAQ (#518)

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Update FAQ

Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
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wangxiyuan
2025-04-15 10:17:56 +08:00
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@@ -55,7 +55,7 @@ After configuration, you can download our container from `m.daocloud.io/quay.io/
### 3. What models does vllm-ascend supports?
Currently, we have already fully tested and supported `Qwen` / `Deepseek` (V0 only) / `Llama` models, other models we have tested are shown [<u>here</u>](https://vllm-ascend.readthedocs.io/en/latest/user_guide/supported_models.html). Plus, accoding to users' feedback, `gemma3` and `glm4` are not supported yet. Besides, more models need test.
Currently, we have already fully tested and supported `Qwen` / `Deepseek` (V0 only) / `Llama` models, other models we have tested are shown [<u>here</u>](https://vllm-ascend.readthedocs.io/en/latest/user_guide/supported_models.html). Plus, according to users' feedback, `gemma3` and `glm4` are not supported yet. Besides, more models need test.
### 4. How to get in touch with our community?
@@ -69,3 +69,22 @@ There are many channels that you can communicate with our community developers /
### 5. What features does vllm-ascend V1 supports?
Find more details [<u>here</u>](https://github.com/vllm-project/vllm-ascend/issues/414).
### 6. How to solve the problem of "Failed to infer device type" or "libatb.so: cannot open shared object file"?
Basicly, the reason is that the NNAL environment is not sourced. Please try `source /usr/local/Ascend/nnal/atb/set_env.sh` to solve the problem.
### 7. Does vllm-ascend support Atlas 300I Duo?
No, vllm-ascend now only supports Atlas A2 series. We are working on it.
### 8. How does vllm-ascend perform?
Currently, only some models are imporved. Such as `Qwen2 VL`, `Deepseek V3`. Others are not good enough. In the future, we will support graph mode and custom ops to improve the performance of vllm-ascend. And when the official release of vllm-ascend is released, you can install `mindie-turbo` with `vllm-ascend` to speed up the inference as well.
### 9. How vllm-ascend work with vllm?
vllm-ascend is a plugin for vllm. Basicly, the version of vllm-ascend is the same as the version of vllm. For example, if you use vllm 0.7.3, you should use vllm-ascend 0.7.3 as well. For main branch, we will make sure `vllm-ascend` and `vllm` are compatible by each commit.
### 10. 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/432). For NPND, vllm is not stable and fully supported yet. We will make it stable and supported by vllm-ascend in the future.