doc: update backend (#1486)

docs/en/backend.md

@@ -19,7 +19,7 @@ curl http://localhost:30000/generate \
     }
   }'
 ```
-Learn more about the argument format `here <https://sglang.readthedocs.io/en/latest/sampling_params.html>`_.
+Learn more about the argument format [here](https://sglang.readthedocs.io/en/latest/sampling_params.html).
 
 ### OpenAI Compatible API
 In addition, the server supports OpenAI-compatible APIs.
@@ -73,7 +73,7 @@ python -m sglang.launch_server --model-path meta-llama/Meta-Llama-3-8B-Instruct
 ```
 python -m sglang.launch_server --model-path meta-llama/Meta-Llama-3-8B-Instruct --mem-fraction-static 0.7
 ```
-- See `hyperparameter tuning <https://sglang.readthedocs.io/en/latest/hyperparameter_tuning.html>`_ on tuning hyperparameters for better performance.
+- See [hyperparameter tuning](https://sglang.readthedocs.io/en/latest/hyperparameter_tuning.html) on tuning hyperparameters for better performance.
 - If you see out-of-memory errors during prefill for long prompts, try to set a smaller chunked prefill size.
 ```
 python -m sglang.launch_server --model-path meta-llama/Meta-Llama-3-8B-Instruct --chunked-prefill-size 4096
@@ -81,7 +81,7 @@ python -m sglang.launch_server --model-path meta-llama/Meta-Llama-3-8B-Instruct
 - To enable torch.compile acceleration, add `--enable-torch-compile`. It accelerates small models on small batch sizes.
 - To enable fp8 weight quantization, add `--quantization fp8` on a fp16 checkpoint or directly load a fp8 checkpoint without specifying any arguments.
 - To enable fp8 kv cache quantization, add `--kv-cache-dtype fp8_e5m2`.
-- If the model does not have a chat template in the Hugging Face tokenizer, you can specify a `custom chat template <https://sglang.readthedocs.io/en/latest/custom_chat_template.html>`_.
+- If the model does not have a chat template in the Hugging Face tokenizer, you can specify a [custom chat template](https://sglang.readthedocs.io/en/latest/custom_chat_template.html).
 - To run tensor parallelism on multiple nodes, add `--nnodes 2`. If you have two nodes with two GPUs on each node and want to run TP=4, let `sgl-dev-0` be the hostname of the first node and `50000` be an available port.
 ```
 # Node 0
@@ -122,7 +122,7 @@ python -m sglang.launch_server --model-path meta-llama/Meta-Llama-3-8B-Instruct
 - gte-Qwen2
   - `python -m sglang.launch_server --model-path Alibaba-NLP/gte-Qwen2-7B-instruct --is-embedding`
 
-Instructions for supporting a new model are `here <https://sglang.readthedocs.io/en/latest/model_support.html>`_.
+Instructions for supporting a new model are [here](https://sglang.readthedocs.io/en/latest/model_support.html).
 
 #### Use Models From ModelScope
 <details>