[Doc][Misc] Improve readability and fix typos in documentation (#8340)

### What this PR does / why we need it?

This PR improves the readability of the documentation by fixing typos,
correcting command extensions, and fixing broken links in the Chinese
README.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Documentation changes only.

---------

Signed-off-by: sunshine202600 <sunshine202600@163.com>
This commit is contained in:
sunshine202600
2026-04-17 08:54:38 +08:00
committed by GitHub
parent 8952fddc7e
commit 1dd1de8153
46 changed files with 90 additions and 92 deletions

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@@ -161,7 +161,7 @@ There are several arguments that you should update according to your environment
- `path`: Update to your model weight path.
- `model`: Update to your model name in vLLM.
- `host_ip` and `host_port`: Update to your vLLM server ip and port.
- `max_out_len`: Note `max_out_len` + LLM input length should be less than `max-model-len`(config in your vllm server), `32768` will be suitable for most datasets.
- `max_out_len`: Note `max_out_len` + LLM input length should be less than `max_model_len`(config in your vllm server), `32768` will be suitable for most datasets.
- `batch_size`: Update according to your dataset.
- `temperature`: Update inference argument.

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@@ -65,7 +65,7 @@ pip install gradio plotly evalscope
## 3. Run GSM8K using EvalScope for accuracy testing
You can use `evalscope eval` to run GSM8K for accuracy testing:
You can use `evalscope eval` to run GSM8K (a grade-school math benchmark dataset) for accuracy testing:
```shell
evalscope eval \

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@@ -43,7 +43,7 @@ INFO: Waiting for application startup.
INFO: Application startup complete.
```
### 2. Run GSM8K using lm-eval for accuracy testing
### 2. Run GSM8K using the vLLM server (curl) and then run lm-eval for accuracy testing
You can query the result with input prompts:

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@@ -53,7 +53,7 @@ curl http://localhost:8000/v1/completions \
}'
```
## 2. Run C-Eval using OpenCompass for accuracy testing
## 2. Run C-Eval (a Chinese language model evaluation benchmark) using OpenCompass for accuracy testing
Install OpenCompass and configure the environment variables in the container: