Small edits (#1020)

docs/webapp/applications/apps_embed_model_deployment.md

@@ -63,13 +63,13 @@ To configure a new app instance, click `Launch New` <img src="/docs/latest/icons
 to open the app's configuration form.
 
 ### Configuration Options
-* Import Configuration - Import an app instance configuration file. This will fill the configuration form with the 
+* **Import Configuration** - Import an app instance configuration file. This will fill the configuration form with the 
 values from the file, which can be modified before launching the app instance
-* Project name - ClearML Project where your Embedding Model Deployment app instance will be stored
-* Task name - Name of ClearML Task for your Embedding Model Deployment app instance
-* Queue - The [ClearML Queue](../../fundamentals/agents_and_queues.md#what-is-a-queue) to which the Embedding Model 
+* **Project name** - ClearML Project where your Embedding Model Deployment app instance will be stored
+* **Task name** - Name of ClearML Task for your Embedding Model Deployment app instance
+* **Queue** - The [ClearML Queue](../../fundamentals/agents_and_queues.md#what-is-a-queue) to which the Embedding Model 
 Deployment app instance task will be enqueued (make sure an agent is assigned to it)
-* Model Configuration
+* **Model Configuration**
   * Model - A ClearML Model ID or a Hugging Face model name (e.g. `openai-community/gpt2`)
   * Revision - The specific Hugging Face version of the model you want to use. You can use a specific commit ID or a 
   branch like `refs/pr/2`
@@ -85,9 +85,9 @@ Deployment app instance task will be enqueued (make sure an agent is assigned to
     Transformer models
   * \+ Add item - Add another model endpoint. Each model will be accessible through the same base URL, with the model 
   name appended to the URL.  
-* Hugging Face Token - Token for accessing Hugging Face models that require authentication
-* Idle Time Limit (Hours) - Maximum idle time after which the app instance will shut down
-* Export Configuration - Export the app instance configuration as a JSON file, which you can later import to create a 
+* **Hugging Face Token** - Token for accessing Hugging Face models that require authentication
+* **Idle Time Limit** (Hours) - Maximum idle time after which the app instance will shut down
+* **Export Configuration** - Export the app instance configuration as a JSON file, which you can later import to create a 
 new instance with the same configuration
 
 ![Embedding Model Deployment form](../../img/apps_embedding_model_deployment_form.png)

docs/webapp/applications/apps_jupyter_lab.md

@@ -27,7 +27,7 @@ Once you have launched an app instance, you can view the following information i
 
 ![Jupyter Lab Dashboard](../../img/apps_jupyter_lab.png)
 
-## App Instance Configuration
+## Jupyter Lab Instance Configuration
 When configuring a new Jupyter Lab instance, you can fill in the required parameters or reuse the configuration of 
 a previously launched instance.  
 

docs/webapp/applications/apps_llama_deployment.md

@@ -45,7 +45,7 @@ After starting a llama.cpp Model Deployment instance, you can view the following
 
 ![llama deployment dashboard](../../img/apps_llama_dashboard.png)
 
-## Llama.cpp Model Deployment Instance Configuration
+### Llama.cpp Model Deployment Instance Configuration
 
 When configuring a new llama.cpp Model Deployment instance, you can fill in the required parameters or reuse the 
 configuration of a previously launched instance.
@@ -60,19 +60,19 @@ To configure a new app instance, click `Launch New` <img src="/docs/latest/icons
 to open the app's configuration form.
 
 ## Configuration Options
-* Import Configuration - Import an app instance configuration file. This will fill the configuration form with the 
+* **Import Configuration** - Import an app instance configuration file. This will fill the configuration form with the 
 values from the file, which can be modified before launching the app instance
-* Project name - ClearML Project where your llama.cpp Model Deployment app instance will be stored
-* Task name - Name of [ClearML Task](../../fundamentals/task.md) for your llama.cpp Model Deployment app instance
-* Queue - The [ClearML Queue](../../fundamentals/agents_and_queues.md#agent-and-queue-workflow) to which the 
+* **Project name** - ClearML Project where your llama.cpp Model Deployment app instance will be stored
+* **Task name** - Name of [ClearML Task](../../fundamentals/task.md) for your llama.cpp Model Deployment app instance
+* **Queue** - The [ClearML Queue](../../fundamentals/agents_and_queues.md#agent-and-queue-workflow) to which the 
   llama.cpp Model Deployment app instance task will be enqueued (make sure an agent is assigned to it)  
-* Model - A ClearML Model ID or a Hugging Face model. The model must be in GGUF format. If you are using a 
+* **Model** - A ClearML Model ID or a Hugging Face model. The model must be in GGUF format. If you are using a 
   HuggingFace model, make sure to pass the path to the GGUF file. For example: `provider/repo/path/to/model.gguf`
-* General
+* **General**
   * Hugging Face Token - Token for accessing Hugging Face models that require authentication
   * Number of GPU Layers - Number of layers to store in VRAM. `9999` indicates that all layers should be loaded in 
   VRAM. Used to offload the model on the CPU RAM
-* Advanced Options
+* **Advanced Options**
   * Idle Time Limit (Hours) - Maximum idle time after which the app instance will shut down
   * Last Action Report Interval (Seconds) - The frequency at which the last activity made by the application is reported. 
   Used to stop the application from entering an idle state when the machine metrics are low but the application is 

docs/webapp/applications/apps_model_deployment.md

@@ -64,14 +64,14 @@ To configure a new app instance, click `Launch New` <img src="/docs/latest/icons
 to open the app's configuration form.
 
 ### Configuration Options
-* Import Configuration - Import an app instance configuration file. This will fill the instance launch form with the 
+* **Import Configuration** - Import an app instance configuration file. This will fill the instance launch form with the 
 values from the file, which can be modified before launching the app instance
-* Project name - ClearML Project Name
-* Task name - Name of ClearML Task for your Model Deployment app instance
-* Queue - The [ClearML Queue](../../fundamentals/agents_and_queues.md#what-is-a-queue) to which the Model Deployment app 
+* **Project name** - ClearML Project Name
+* **Task name** - Name of ClearML Task for your Model Deployment app instance
+* **Queue** - The [ClearML Queue](../../fundamentals/agents_and_queues.md#what-is-a-queue) to which the Model Deployment app 
 instance task will be enqueued (make sure an agent is assigned to that queue)
-* Model - A ClearML Model ID or a HuggingFace model name (e.g. `openai-community/gpt2`)
-* Model Configuration
+* **Model** - A ClearML Model ID or a HuggingFace model name (e.g. `openai-community/gpt2`)
+* **Model Configuration**
   * Trust Remote Code - Select to set Hugging Face [`trust_remote_code`](https://huggingface.co/docs/text-generation-inference/main/en/reference/launcher#trustremotecode) 
   to `true`.
   * Revision - The specific Hugging Face version of the model (i.e. weights) you want to use. You 
@@ -85,7 +85,7 @@ instance task will be enqueued (make sure an agent is assigned to that queue)
   * Tokenizer Mode - Select the tokenizer mode:
     * `auto` - Uses the fast tokenizer if available
     * `slow` - Uses the slow tokenizer.
-* LoRA Configuration 
+* **LoRA Configuration** 
   * Enable LoRA - If checked, enable handling of [LoRA adapters](https://huggingface.co/docs/diffusers/en/training/lora#lora).
   * LoRA Modules - LoRA module configurations in the format `name=path`. Multiple modules can be specified.
   * Max LoRAs - Max number of LoRAs in a single batch. 
@@ -98,7 +98,7 @@ instance task will be enqueued (make sure an agent is assigned to that queue)
     * `float32`    
   * Max CPU LoRAs - Maximum number of LoRAs to store in CPU memory. Must be greater or equal to the 
   `Max Number of Sequences` field in the General section below. Defaults to `Max Number of Sequences`.
-* General
+* **General**
   * Disable Log Stats - Disable logging statistics
   * Enforce Eager - Always use eager-mode PyTorch. If False, a hybrid of eager mode and CUDA graph will be used for 
   maximal performance and flexibility.
@@ -140,8 +140,8 @@ instance task will be enqueued (make sure an agent is assigned to that queue)
   * Max Context Length to Capture - Maximum context length covered by CUDA graphs. When a sequence has context length 
   larger than this, we fall back to eager mode.
   * Max Log Length - Max number of prompt characters or prompt ID numbers being printed in log. Default: unlimited
-* Idle Time Limit (Hours) - Maximum idle time after which the app instance will shut down
-* Export Configuration - Export the app instance configuration as a JSON file, which you can later import to create a 
+* **Idle Time Limit** (Hours) - Maximum idle time after which the app instance will shut down
+* **Export Configuration** - Export the app instance configuration as a JSON file, which you can later import to create a 
 new instance with the same configuration
 
 ![Model Deployment app form](../../img/apps_model_deployment_form.png)

docs/webapp/applications/apps_ssh_session.md

@@ -61,25 +61,25 @@ to open the app's instance launch form.
 
 
 ### Configuration Options 
-* Import Configuration - Import an app instance configuration file. This will fill the instance launch form with the 
+* **Import Configuration** - Import an app instance configuration file. This will fill the instance launch form with the 
 values from the file, which can be modified before launching the app instance
-* Git - The details for a git repository to optionally clone into your remote environment:
+* **Git** - The details for a git repository to optionally clone into your remote environment:
   * Repository
   * Branch
   * Commit
-* Docker - Input details to run the session in Docker container
+* **Docker** - Input details to run the session in Docker container
   * Image - Docker image to launch
   * Docker Arguments - Additional arguments for the Docker image
   * Init Script - Bash script that is executed upon container boot (comments are supported only at the beginning of the 
   line)
-* Extra Packages - Specify Python packages to install when setting up the remote environment
-* Persistent Workspace Path - Specify your workspace root directory, it will be automatically stored when the session is 
+* **Extra Packages** - Specify Python packages to install when setting up the remote environment
+* **Persistent Workspace Path** - Specify your workspace root directory, it will be automatically stored when the session is 
 closed and restored into a new instance when the session app instance is cloned (example: `~/workspace`)
-* Queue - The [ClearML Queue](../../fundamentals/agents_and_queues.md#what-is-a-queue) to which the SSH Session app 
+* **Queue** - The [ClearML Queue](../../fundamentals/agents_and_queues.md#what-is-a-queue) to which the SSH Session app 
   instance task will be enqueued (make sure an agent is assigned to that queue)
-* Maximum idle time (in hours) - Maximum idle time after which the app instance will shut down
-* Interactive Session Name - Name your current interactive session
-* Advanced Options
+* **Maximum idle time** (in hours) - Maximum idle time after which the app instance will shut down
+* **Interactive Session Name** - Name your current interactive session
+* **Advanced Options**
   * Interactive Session Project - The project in which the interactive session is created.  If left empty, the default 
   project  `Interactive Session` is used
   * Interactive Session Tags - Comma separated list of tags to add to your interactive session
@@ -89,7 +89,7 @@ closed and restored into a new instance when the session app instance is cloned
   * Idle Network Threshold (MB) - Network throughput under which the session will be considered idle
   * Idle CPU Threshold (%) - CPU utilization under which the session will be considered idle
   * Idle GPU Threshold (%) - GPU utilization under which the session will be considered idle
-* Export Configuration - Export the app instance configuration as a JSON file, which you can later import to create a 
+* **Export Configuration** - Export the app instance configuration as a JSON file, which you can later import to create a 
 new instance with the same configuration
 
 ![SSH Session form](../../img/apps_ssh_session_wizard.png)