[Docs] Fix syntax highlighting of shell commands (#19870)

Signed-off-by: Lukas Geiger <lukas.geiger94@gmail.com>

docs/models/extensions/runai_model_streamer.md

@@ -9,27 +9,27 @@ Further reading can be found in [Run:ai Model Streamer Documentation](https://gi
 vLLM supports loading weights in Safetensors format using the Run:ai Model Streamer.
 You first need to install vLLM RunAI optional dependency:
 
-```console
+```bash
 pip3 install vllm[runai]
 ```
 
 To run it as an OpenAI-compatible server, add the `--load-format runai_streamer` flag:
 
-```console
+```bash
 vllm serve /home/meta-llama/Llama-3.2-3B-Instruct \
     --load-format runai_streamer
 ```
 
 To run model from AWS S3 object store run:
 
-```console
+```bash
 vllm serve s3://core-llm/Llama-3-8b \
     --load-format runai_streamer
 ```
 
 To run model from a S3 compatible object store run:
 
-```console
+```bash
 RUNAI_STREAMER_S3_USE_VIRTUAL_ADDRESSING=0 \
 AWS_EC2_METADATA_DISABLED=true \
 AWS_ENDPOINT_URL=https://storage.googleapis.com \
@@ -44,7 +44,7 @@ You can tune parameters using `--model-loader-extra-config`:
 You can tune `concurrency` that controls the level of concurrency and number of OS threads reading tensors from the file to the CPU buffer.
 For reading from S3, it will be the number of client instances the host is opening to the S3 server.
 
-```console
+```bash
 vllm serve /home/meta-llama/Llama-3.2-3B-Instruct \
     --load-format runai_streamer \
     --model-loader-extra-config '{"concurrency":16}'
@@ -53,7 +53,7 @@ vllm serve /home/meta-llama/Llama-3.2-3B-Instruct \
 You can control the size of the CPU Memory buffer to which tensors are read from the file, and limit this size.
 You can read further about CPU buffer memory limiting [here](https://github.com/run-ai/runai-model-streamer/blob/master/docs/src/env-vars.md#runai_streamer_memory_limit).
 
-```console
+```bash
 vllm serve /home/meta-llama/Llama-3.2-3B-Instruct \
     --load-format runai_streamer \
     --model-loader-extra-config '{"memory_limit":5368709120}'
@@ -66,13 +66,13 @@ vllm serve /home/meta-llama/Llama-3.2-3B-Instruct \
 
 vLLM also supports loading sharded models using Run:ai Model Streamer. This is particularly useful for large models that are split across multiple files. To use this feature, use the `--load-format runai_streamer_sharded` flag:
 
-```console
+```bash
 vllm serve /path/to/sharded/model --load-format runai_streamer_sharded
 ```
 
 The sharded loader expects model files to follow the same naming pattern as the regular sharded state loader: `model-rank-{rank}-part-{part}.safetensors`. You can customize this pattern using the `pattern` parameter in `--model-loader-extra-config`:
 
-```console
+```bash
 vllm serve /path/to/sharded/model \
     --load-format runai_streamer_sharded \
     --model-loader-extra-config '{"pattern":"custom-model-rank-{rank}-part-{part}.safetensors"}'
@@ -82,7 +82,7 @@ To create sharded model files, you can use the script provided in <gh-file:examp
 
 The sharded loader supports all the same tunable parameters as the regular Run:ai Model Streamer, including `concurrency` and `memory_limit`. These can be configured in the same way:
 
-```console
+```bash
 vllm serve /path/to/sharded/model \
     --load-format runai_streamer_sharded \
     --model-loader-extra-config '{"concurrency":16, "memory_limit":5368709120}'