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Add Embedding Model Deployment and Model Deployment apps (#914)
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docs/webapp/applications/apps_embed_model_deployment.md
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---
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title: Embedding Model Deployment
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---
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:::important Enterprise Feature
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The Embedding Model Deployment App is available under the ClearML Enterprise plan.
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:::
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The Embedding Model Deployment app enables users to quickly deploy embedding models as networking services over a secure
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endpoint. This application supports various model configurations and customizations, addressing a range of embedding use
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cases. The Embedding Model Deployment application serves your model on a machine of your choice. Once an app instance is
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running, it serves your embedding model through a secure, publicly accessible network endpoint. The app monitors
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endpoint activity and shuts down if the model remains inactive for a specified maximum idle time.
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:::info Task Traffic Router
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The Embedding Model Deployment app relies on the ClearML Traffic Router which implements a secure, authenticated network
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channel to the model
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:::
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After starting an Embedding Model Deployment instance, you can view the following information in its dashboard:
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* Status indicator
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* <img src="/docs/latest/icons/ico-embedding-model-active.svg" alt="Active instance" className="icon size-md space-sm" /> - App instance is running and is actively in use
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* <img src="/docs/latest/icons/ico-embedding-model-loading.svg" alt="Loading instance" className="icon size-md space-sm" /> - App instance is setting up
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* <img src="/docs/latest/icons/ico-embedding-model-idle.svg" alt="Idle instance" className="icon size-md space-sm" /> - App instance is idle
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* <img src="/docs/latest/icons/ico-embedding-model-stopped.svg" alt="Stopped instance" className="icon size-md space-sm" /> - App instance is stopped
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* Idle time - Time elapsed since last activity
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* Endpoint - The publicly accessible URL of the model endpoint
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* API base - The base URL for the model endpoint
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* API key - The authentication key for the model endpoint
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* Test Command - An example command line to test the deployed model
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* Requests - Number of requests over time
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* Latency - Request response time (ms) over time
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* Endpoint resource monitoring metrics over time
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* CPU usage
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* Network throughput
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* Disk performance
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* Memory performance
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* GPU utilization
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* GPU memory usage
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* GPU temperature
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* Console log - The console log shows the app instance's console output: setup progress, status changes, error messages, etc.
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## Embedding Model Deployment Instance Configuration
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When configuring a new Embedding Model Deployment instance, you can fill in the required parameters or reuse the
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configuration of a previously launched instance.
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Launch an app instance with the configuration of a previously launched instance using one of the following options:
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* Cloning a previously launched app instance will open the instance launch form with the original instance's
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configuration prefilled.
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* Importing an app configuration file. You can export the configuration of a previously launched instance as a JSON file
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when viewing its configuration.
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The prefilled configuration form can be edited before launching the new app instance.
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To configure a new app instance, click `Launch New` <img src="/docs/latest/icons/ico-add.svg" alt="Add new" className="icon size-md space-sm" />
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to open the app's configuration form.
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### Configuration Options
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* Import Configuration - Import an app instance configuration file. This will fill the configuration form with the
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values from the file, which can be modified before launching the app instance
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* Project name - ClearML Project where your Embedding Model Deployment app instance will be stored
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* Task name - Name of ClearML Task for your Embedding Model Deployment app instance
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* Queue - The [ClearML Queue](../../fundamentals/agents_and_queues.md#what-is-a-queue) to which the Embedding Model
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Deployment app instance task will be enqueued (make sure an agent is assigned to it)
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* Model Configuration
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* Model - A ClearML Model ID or a Hugging Face model name (e.g. `openai-community/gpt2`)
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* Revision - The specific Hugging Face version of the model you want to use. You can use a specific commit ID or a
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branch like `refs/pr/2`
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* Tokenization Workers - Number of tokenizer workers used for payload tokenization, validation, and truncation.
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Defaults to the number of CPU cores on the machine
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* Dtype - The data type enforced on the model
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* Pooling - Model pooling method. If `pooling` is not set, the pooling configuration will be parsed from the model
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`1_Pooling/config.json` configuration. If `pooling` is set, it will override the model pooling configuration. Possible
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values:
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* `cls`: Use CLS token
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* `mean`: Apply Mean pooling
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* `splade`: Apply SPLADE (Sparse Lexical and Expansion) pooling. This option is only available for `ForMaskedLM`
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Transformer models
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* \+ Add item - Add another model endpoint. Each model will be accessible through the same base URL, with the model
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name appended to the URL.
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* Hugging Face Token - Token for accessing Hugging Face models that require authentication
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* Idle Time Limit (Hours) - Maximum idle time after which the app instance will shut down
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* Export Configuration - Export the app instance configuration as a JSON file, which you can later import to create a
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new instance with the same configuration
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143
docs/webapp/applications/apps_model_deployment.md
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143
docs/webapp/applications/apps_model_deployment.md
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---
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title: Model Deployment
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---
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:::important Enterprise Feature
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The Model Deployment App is available under the ClearML Enterprise plan.
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:::
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The Model Deployment application enables users to quickly deploy LLM models as networking services over a secure
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endpoint. This application supports various model configurations and customizations to optimize performance and resource
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usage. The Model Deployment application serves your model on a machine of your choice. Once an app instance is running,
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it serves your model through a secure, publicly accessible network endpoint. The app monitors endpoint activity and
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shuts down if the model remains inactive for a specified maximum idle time.
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:::info Task Traffic Router
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The Model Deployment app relies on the ClearML Traffic Router which implements a secure, authenticated network channel
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to the model
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:::
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Once you start a Model Deployment instance, you can view the following information in its dashboard:
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* Status indicator
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* <img src="/docs/latest/icons/ico-model-active.svg" alt="Active instance" className="icon size-md space-sm" /> - App instance is running and is actively in use
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* <img src="/docs/latest/icons/ico-model-loading.svg" alt="Loading instance" className="icon size-md space-sm" /> - App instance is setting up
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* <img src="/docs/latest/icons/ico-model-idle.svg" alt="Idle instance" className="icon size-md space-sm" /> - App instance is idle
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* <img src="/docs/latest/icons/ico-model-stopped.svg" alt="Stopped instance" className="icon size-md space-sm" /> - App instance is stopped
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* Idle time - Time elapsed since last activity
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* Endpoint - The publicly accessible URL of the model endpoint
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* API base - The base URL for the model endpoint
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* API key - The authentication key for the model endpoint
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* Test Command - An example command line to test the deployed model
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* Requests - Number of requests over time
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* Latency - Request response time (ms) over time
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* Endpoint resource monitoring metrics over time
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* CPU usage
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* Network throughput
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* Disk performance
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* Memory performance
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* GPU utilization
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* GPU memory usage
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* GPU temperature
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* Console log - The console log shows the app instance's console output: setup progress, status changes, error messages,
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etc.
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## Model Deployment Instance Configuration
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When configuring a new Model Deployment instance, you can fill in the required parameters or reuse the
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configuration of a previously launched instance.
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Launch an app instance with the configuration of a previously launched instance using one of the following options:
|
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* Cloning a previously launched app instance will open the instance launch form with the original instance's
|
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configuration prefilled.
|
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* Importing an app configuration file. You can export the configuration of a previously launched instance as a JSON file
|
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when viewing its configuration.
|
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The prefilled configuration form can be edited before launching the new app instance.
|
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To configure a new app instance, click `Launch New` <img src="/docs/latest/icons/ico-add.svg" alt="Add new" className="icon size-md space-sm" />
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to open the app's configuration form.
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### Configuration Options
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* Import Configuration - Import an app instance configuration file. This will fill the instance launch form with the
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values from the file, which can be modified before launching the app instance
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* Project name - ClearML Project Name
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* Task name - Name of ClearML Task for your Model Deployment app instance
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* Queue - The [ClearML Queue](../../fundamentals/agents_and_queues.md#what-is-a-queue) to which the Model Deployment app
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instance task will be enqueued (make sure an agent is assigned to that queue)
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* Model - A ClearML Model ID or a HuggingFace model name (e.g. `openai-community/gpt2`)
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* Model Configuration
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* Trust Remote Code - Select to set Hugging Face [`trust_remote_code`](https://huggingface.co/docs/text-generation-inference/main/en/reference/launcher#trustremotecode)
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to `true`.
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* Revision - The specific Hugging Face version of the model (i.e. weights) you want to use. You
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can use a specific commit ID or a branch like `refs/pr/2`.
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* Code Revision - The specific revision to use for the model code on HuggingFace Hub. It can be a branch name, a tag
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name, or a commit ID. If unspecified, will use the default version.
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* Max Model Length - Model context length. If unspecified, will be automatically derived from the model
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* Tokenizer - A ClearML Model ID or a Hugging Face tokenizer
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* Tokenizer Revision - The specific tokenizer Hugging Face version to use. It can be a branch name, a tag name, or a
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commit ID. If unspecified, will use the default version.
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* Tokenizer Mode - Select the tokenizer mode:
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* `auto` - Uses the fast tokenizer if available
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* `slow` - Uses the slow tokenizer.
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* LoRA Configuration
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* Enable LoRA - If checked, enable handling of [LoRA adapters](https://huggingface.co/docs/diffusers/en/training/lora#lora).
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* LoRA Modules - LoRA module configurations in the format `name=path`. Multiple modules can be specified.
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* Max LoRAs - Max number of LoRAs in a single batch.
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* Max LoRA Rank
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* LoRA Extra Vocabulary Size - Maximum size of extra vocabulary that can be present in a LoRA adapter (added to the base model vocabulary).
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* LoRA Dtype - Select the data type for LoRA. Select one of the following:
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* `auto` - If selected, will default to base model data type.
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* `float16`
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* `bfloat16`
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* `float32`
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* Max CPU LoRAs - Maximum number of LoRAs to store in CPU memory. Must be greater or equal to the
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`Max Number of Sequences` field in the General section below. Defaults to `Max Number of Sequences`.
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* General
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* Disable Log Stats - Disable logging statistics
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* Enforce Eager - Always use eager-mode PyTorch. If False, a hybrid of eager mode and CUDA graph will be used for
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maximal performance and flexibility.
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* Disable Custom All Reduce - See [vllm ParallelConfig](https://github.com/vllm-project/vllm/blob/main/vllm/config.py#L701)
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* Disable Logging Requests
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* Fixed API Access Key - Key to use for authenticating API access. Set a fixed API key if you've set up the server to
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be accessible without authentication. Setting an API key ensures that only authorized users can access the endpoint.
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* HuggingFace Token - Token for accessing HuggingFace models that require authentication
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* Load Format - Select the model weights format to load:
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* `auto` - Load the weights in the safetensors format and fall back to the pytorch bin format if safetensors format is not available.
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* `pt` - Load the weights in the pytorch bin format.
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* `safetensors` - Load the weights in the safetensors format.
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* `npcache` - Load the weights in pytorch format and store a numpy cache to speed up the loading.
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* `dummy` Initialize the weights with random values. Mainly used for profiling.
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* Dtype - Select the data type for model weights and activations:
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* `auto` - if selected, will use FP16 precision for FP32 and FP16 models, and BF16 precision for BF16 models.
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* `half`
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* `float16`
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* `bfloat16`
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* `float`
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* `float32`
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* KV Cache Type - Select data type for kv cache storage:
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* `auto` - If selected, will use the model data type. Note FP8 is not supported when cuda version is lower than 11.8.
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* `fp8_e5m2`
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* Pipeline Parallel Size - Number of pipeline stages
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* Tensor Parallel Size - Number of tensor parallel replicas
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* Max Parallel Loading Workers - Load model sequentially in multiple batches, to avoid RAM OOM when using tensor
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parallel and large models
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* Token Block Size
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* Random Seed
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* Swap Space - CPU swap space size (GiB) per GPU
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* GPU Memory Utilization - The fraction of GPU memory to be used for the model executor, which can range from 0 to 1
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* Max Number of Batched Tokens - Maximum number of batched tokens per iteration
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* Max Number of Sequences - Maximum number of sequences per iteration
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* Max Number of Paddings - Maximum number of paddings in a batch
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* Quantization - Method used to quantize the weights. If None, we first check the `quantization_config` attribute in
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the model config file. If that is None, we assume the model weights are not quantized and use `dtype` to determine the
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data type of the weights.
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* Max Context Length to Capture - Maximum context length covered by CUDA graphs. When a sequence has context length
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larger than this, we fall back to eager mode.
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* Max Log Length - Max number of prompt characters or prompt ID numbers being printed in log. Default: unlimited
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* Idle Time Limit (Hours) - Maximum idle time after which the app instance will shut down
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* Export Configuration - Export the app instance configuration as a JSON file, which you can later import to create a
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new instance with the same configuration
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@ -13,15 +13,21 @@ Use ClearML's GUI Applications to manage ML workloads and automatically run your
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Configure and launch app instances, then track their execution from the app dashboard.
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ClearML provides the following applications:
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* [**Hyperparameter Optimization**](apps_hpo.md) - Find the parameter values that yield the best performing models
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* **Nvidia Clara** - Train models using Nvidia's Clara framework
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* [**Project Dashboard**](apps_dashboard.md) - High-level project monitoring with Slack alerts
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* [**Task Scheduler**](apps_task_scheduler.md) - Schedule tasks for one-shot and/or periodic execution at specified times (available under ClearML Enterprise Plan)
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* [**Trigger Manager**](apps_trigger_manager.md) - Define tasks to be run when predefined events occur (available under ClearML Enterprise Plan)
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* [**Jupyter Lab**](apps_jupyter_lab.md) - Launch a Jupyter Lab session on a remote machine (available under ClearML Enterprise Plan)
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* [**VS Code**](apps_vscode.md) - Launch a VS Code session on a remote machine (available under ClearML Enterprise Plan)
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* [**Gradio Launcher**](apps_gradio.md) - Create visual web interfaces for your models with Gradio (available under ClearML Enterprise Plan)
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* [**Streamlit Launcher**](apps_streamlit.md) - Create visual web interfaces for your models with Streamlit (available under ClearML Enterprise Plan)
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* General:
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* [**Hyperparameter Optimization**](apps_hpo.md) - Find the parameter values that yield the best performing models
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* **Nvidia Clara** - Train models using Nvidia's Clara framework
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* [**Project Dashboard**](apps_dashboard.md) - High-level project monitoring with Slack alerts
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* [**Task Scheduler**](apps_task_scheduler.md) - Schedule tasks for one-shot and/or periodic execution at specified times (available under ClearML Enterprise Plan)
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* [**Trigger Manager**](apps_trigger_manager.md) - Define tasks to be run when predefined events occur (available under ClearML Enterprise Plan)
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* AI Dev:
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* [**Jupyter Lab**](apps_jupyter_lab.md) - Launch a Jupyter Lab session on a remote machine (available under ClearML Enterprise Plan)
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* [**VS Code**](apps_vscode.md) - Launch a VS Code session on a remote machine (available under ClearML Enterprise Plan)
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* UI Dev:
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* [**Gradio Launcher**](apps_gradio.md) - Create visual web interfaces for your models with Gradio (available under ClearML Enterprise Plan)
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* [**Streamlit Launcher**](apps_streamlit.md) - Create visual web interfaces for your models with Streamlit (available under ClearML Enterprise Plan)
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* Deploy:
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* [**Embedding Model Deployment**](apps_embed_model_deployment.md) Deploy embedding models as networking services over a secure endpoint (available under ClearML Enterprise Plan)
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* [**Model Deployment**](apps_model_deployment.md) - Deploy LLM models as networking services over a secure endpoint (available under ClearML Enterprise Plan)
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:::info Autoscalers
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Autoscaling ([AWS Autoscaler](apps_aws_autoscaler.md) and [GCP Autoscaler](apps_gcp_autoscaler.md))
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34
sidebars.js
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sidebars.js
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{
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'ClearML Applications': [
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'webapp/applications/apps_overview',
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'webapp/applications/apps_hpo',
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'webapp/applications/apps_dashboard',
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'webapp/applications/apps_task_scheduler',
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'webapp/applications/apps_trigger_manager',
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'webapp/applications/apps_jupyter_lab',
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'webapp/applications/apps_vscode',
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'webapp/applications/apps_gradio',
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'webapp/applications/apps_streamlit'
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{
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"General": [
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'webapp/applications/apps_hpo',
|
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'webapp/applications/apps_dashboard',
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'webapp/applications/apps_task_scheduler',
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'webapp/applications/apps_trigger_manager',
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]
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},
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{
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"AI Dev": [
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'webapp/applications/apps_jupyter_lab',
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'webapp/applications/apps_vscode',
|
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]
|
||||
},
|
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{
|
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"UI Dev": [
|
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'webapp/applications/apps_gradio',
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'webapp/applications/apps_streamlit'
|
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]
|
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},
|
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{
|
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"Deploy": [
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'webapp/applications/apps_embed_model_deployment',
|
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'webapp/applications/apps_model_deployment'
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]
|
||||
},
|
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]
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|
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},
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7
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7
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<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64">
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<g>
|
||||
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</g>
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<path d="m49,39c-5.52,0-10,4.48-10,10s4.48,10,10,10,10-4.48,10-10-4.48-10-10-10Z" fill="#21b553"/>
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<path d="m52.42,48.23l-4.06-3.38c-.65-.54-1.64-.08-1.64.77v6.76c0,.85.99,1.31,1.64.77l4.06-3.38c.48-.4.48-1.14,0-1.54Z" fill="#fff"/>
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</svg>
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|
After Width: | Height: | Size: 1.4 KiB |
7
static/icons/ico-embedding-model-idle.svg
Normal file
7
static/icons/ico-embedding-model-idle.svg
Normal file
@ -0,0 +1,7 @@
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<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64">
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<g>
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</g>
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<path d="m49,39c-5.52,0-10,4.48-10,10s4.48,10,10,10,10-4.48,10-10-4.48-10-10-10Z" fill="#50beff"/>
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<path id="idle-s" d="m50.44,49.24v-4.48c0-.67-.55-1.22-1.22-1.22s-1.22.55-1.22,1.22v4.88s.01.04.01.05c-.01.33.1.66.35.91l4.31,3.61c.12.09.34.25.56.25.43,0,.77-.35.77-.77,0-.21-.1-.39-.23-.55l-3.33-3.91Z" fill="#fff"/>
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</svg>
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|
After Width: | Height: | Size: 1.5 KiB |
24
static/icons/ico-embedding-model-loading.svg
Normal file
24
static/icons/ico-embedding-model-loading.svg
Normal file
@ -0,0 +1,24 @@
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<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64">
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<style>
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@keyframes anim {
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from {
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r: 2px;
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}
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to {
|
||||
r: 6px;
|
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}
|
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to {
|
||||
r: 8px;
|
||||
}
|
||||
}
|
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.circle {
|
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animation-name: anim;
|
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animation-duration: 1.2s;
|
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animation-iteration-count: infinite;
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}
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</style>
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<g>
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</g>
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<circle class="circle" cx="16" cy="16" r="8" fill="#D3FF00" style="transform: translate(33px, 33px)" />
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</svg>
|
||||
|
After Width: | Height: | Size: 1.5 KiB |
7
static/icons/ico-embedding-model-stopped.svg
Normal file
7
static/icons/ico-embedding-model-stopped.svg
Normal file
@ -0,0 +1,7 @@
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||||
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64">
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<g>
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</g>
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<path d="M49 39C43.48 39 39 43.48 39 49C39 54.52 43.48 59 49 59C54.52 59 59 54.52 59 49C59 43.48 54.52 39 49 39Z" fill="#50BEFF"/>
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<rect x="45" y="45" width="8" height="8" rx="1" fill="white"/>
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</svg>
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|
After Width: | Height: | Size: 1.3 KiB |
7
static/icons/ico-model-active.svg
Normal file
7
static/icons/ico-model-active.svg
Normal file
@ -0,0 +1,7 @@
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<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64">
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<g>
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||||
</g>
|
||||
<path d="m49,39c-5.52,0-10,4.48-10,10s4.48,10,10,10,10-4.48,10-10-4.48-10-10-10Z" fill="#21b553"/>
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||||
<path d="m52.42,48.23l-4.06-3.38c-.65-.54-1.64-.08-1.64.77v6.76c0,.85.99,1.31,1.64.77l4.06-3.38c.48-.4.48-1.14,0-1.54Z" fill="#fff"/>
|
||||
</svg>
|
||||
|
After Width: | Height: | Size: 2.9 KiB |
7
static/icons/ico-model-idle.svg
Normal file
7
static/icons/ico-model-idle.svg
Normal file
@ -0,0 +1,7 @@
|
||||
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64">
|
||||
<g>
|
||||
<path d="M27.88,43.04l-5,5-5-5h3.33v-1.67c0-.92.75-1.67,1.67-1.67s1.67.75,1.67,1.67v1.67h3.33ZM27.88,44.71h3.33v1.67c0,.92.75,1.67,1.67,1.67s1.67-.75,1.67-1.67v-1.67h3.33l-5-5-5,5ZM28.84,22.31c-.26-.15-.55-.23-.84-.23h0c-.28,0-.56.07-.81.21l-.08.05h0c-.51.32-.82.88-.81,1.49,0,.62.33,1.2.86,1.51h.01c.83.48,1.87.18,2.34-.66.47-.84.17-1.9-.65-2.38ZM47.87,26.58c-.28,5.38-5.03,9.8-10.42,9.8H15.19c-3.67,0-6.95-3.03-7.28-6.68-.28-3.14,1.52-5.89,4.17-7.06-.12-.51-.2-1.04-.2-1.59,0-3.87,3.13-7,7-7,.61,0,1.18.1,1.74.25,1.49-3.66,5.06-6.25,9.26-6.25,4.9,0,8.96,3.53,9.82,8.18,4.82.89,8.44,5.22,8.17,10.35ZM35.47,22.89c-.51-.3-1.16-.12-1.45.4l-.1.17h-3.5l-.06-.26s0,0,0,0c0,0,0,0,0,0,0,0,0-.02,0-.02l-.07-.25,3.02-1.77.16.1c.33.19.73.19,1.06,0,.51-.3.68-.96.39-1.47-.19-.33-.54-.54-.92-.54-.59,0-1.06.48-1.06,1.08v.19l-.16.1-2.87,1.69-.18-.2s0,0,0,0c0,0,0,0,0,0h0s0,0,0,0h0s0,0,0,0l-.17-.18,1.74-3.07h.19c.59,0,1.06-.48,1.06-1.08,0-.6-.47-1.08-1.06-1.08-.19,0-.37.05-.53.15-.51.3-.68.96-.39,1.47l.09.17-1.74,3.08-.24-.07h0s0,0,0,0c0,0-.01,0-.02,0l-.25-.06v-3.55l.16-.1c.16-.09.3-.23.39-.39.29-.52.12-1.17-.39-1.47-.51-.3-1.15-.12-1.45.39-.29.52-.12,1.17.39,1.47l.16.1v3.56l-.25.06s0,0,0,0c0,0-.02,0-.02,0l-.25.08-1.75-3.08.09-.17c.19-.33.19-.74,0-1.08-.29-.52-.94-.69-1.45-.39-.51.3-.68.96-.39,1.47.19.33.54.54.92.54h.19l1.74,3.08-.19.19h0s-.01.02-.01.02l-.18.19-3.03-1.78v-.19c0-.39-.2-.74-.53-.93,0,0-.02-.01-.03-.01-.51-.29-1.16-.1-1.44.42-.29.52-.1,1.18.41,1.47.33.19.73.19,1.06,0l.16-.1,3.01,1.77-.06.24s0,.03-.01.05h0s-.07.26-.07.26h-3.49l-.1-.17c-.19-.33-.54-.54-.92-.54-.38,0-.73.21-.92.54-.29.52-.12,1.17.39,1.47.51.3,1.16.12,1.45-.4l.1-.17h3.5l.06.26s0,0,0,0c0,0,0,0,0,.01l.07.26-3.02,1.78-.16-.1c-.16-.1-.34-.15-.53-.14-.48,0-.9.33-1.03.8-.07.28-.03.57.11.82.19.33.54.54.92.54.59,0,1.06-.48,1.06-1.08v-.19l.16-.1,2.85-1.68.18.17h0s0,0,0,0c.01.01.02.02.04.03l.18.18-.13.22-1.62,2.85h-.19c-.38,0-.73.21-.92.54-.29.52-.12,1.18.39,1.47.33.19.74.19,1.06,0,.51-.3.68-.96.38-1.47l-.09-.17,1.74-3.07.26.07h.01s0,0,0,0h0s.25.07.25.07v3.55l-.16.1c-.33.19-.53.55-.53.93,0,.6.47,1.08,1.06,1.08h0c.38,0,.73-.21.92-.54.29-.52.12-1.18-.38-1.48l-.16-.1v-3.55l.26-.07h.02l.25-.08,1.75,3.08-.09.17c-.19.33-.19.75,0,1.08,0,0,0,0,0,0,.29.51.94.69,1.45.39.51-.3.68-.96.39-1.47-.19-.33-.54-.54-.92-.54h-.19l-1.75-3.08.19-.18h0s0,0,0,0h0s.01-.02.02-.02h0s.18-.18.18-.18l.21.13,2.8,1.65v.19c0,.38.2.74.53.93.33.19.73.19,1.06,0,.51-.3.68-.96.39-1.47-.29-.52-.94-.69-1.45-.4l-.16.1-.16-.1-2.86-1.68.07-.25s0-.02,0-.02c0,0,0-.02,0-.03l.07-.24h3.49l.1.17c.09.16.23.3.39.4.51.3,1.16.12,1.45-.4.29-.52.12-1.18-.39-1.47Z" fill="#afe61e"/>
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</g>
|
||||
<path d="m49,39c-5.52,0-10,4.48-10,10s4.48,10,10,10,10-4.48,10-10-4.48-10-10-10Z" fill="#50beff"/>
|
||||
<path id="idle-s" d="m50.44,49.24v-4.48c0-.67-.55-1.22-1.22-1.22s-1.22.55-1.22,1.22v4.88s.01.04.01.05c-.01.33.1.66.35.91l4.31,3.61c.12.09.34.25.56.25.43,0,.77-.35.77-.77,0-.21-.1-.39-.23-.55l-3.33-3.91Z" fill="#fff"/>
|
||||
</svg>
|
||||
|
After Width: | Height: | Size: 2.9 KiB |
24
static/icons/ico-model-loading.svg
Normal file
24
static/icons/ico-model-loading.svg
Normal file
@ -0,0 +1,24 @@
|
||||
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64">
|
||||
<style>
|
||||
@keyframes anim {
|
||||
from {
|
||||
r: 2px;
|
||||
}
|
||||
to {
|
||||
r: 6px;
|
||||
}
|
||||
to {
|
||||
r: 8px;
|
||||
}
|
||||
}
|
||||
.circle {
|
||||
animation-name: anim;
|
||||
animation-duration: 1.2s;
|
||||
animation-iteration-count: infinite;
|
||||
}
|
||||
</style>
|
||||
<g>
|
||||
<path d="M27.88,43.04l-5,5-5-5h3.33v-1.67c0-.92.75-1.67,1.67-1.67s1.67.75,1.67,1.67v1.67h3.33ZM27.88,44.71h3.33v1.67c0,.92.75,1.67,1.67,1.67s1.67-.75,1.67-1.67v-1.67h3.33l-5-5-5,5ZM28.84,22.31c-.26-.15-.55-.23-.84-.23h0c-.28,0-.56.07-.81.21l-.08.05h0c-.51.32-.82.88-.81,1.49,0,.62.33,1.2.86,1.51h.01c.83.48,1.87.18,2.34-.66.47-.84.17-1.9-.65-2.38ZM47.87,26.58c-.28,5.38-5.03,9.8-10.42,9.8H15.19c-3.67,0-6.95-3.03-7.28-6.68-.28-3.14,1.52-5.89,4.17-7.06-.12-.51-.2-1.04-.2-1.59,0-3.87,3.13-7,7-7,.61,0,1.18.1,1.74.25,1.49-3.66,5.06-6.25,9.26-6.25,4.9,0,8.96,3.53,9.82,8.18,4.82.89,8.44,5.22,8.17,10.35ZM35.47,22.89c-.51-.3-1.16-.12-1.45.4l-.1.17h-3.5l-.06-.26s0,0,0,0c0,0,0,0,0,0,0,0,0-.02,0-.02l-.07-.25,3.02-1.77.16.1c.33.19.73.19,1.06,0,.51-.3.68-.96.39-1.47-.19-.33-.54-.54-.92-.54-.59,0-1.06.48-1.06,1.08v.19l-.16.1-2.87,1.69-.18-.2s0,0,0,0c0,0,0,0,0,0h0s0,0,0,0h0s0,0,0,0l-.17-.18,1.74-3.07h.19c.59,0,1.06-.48,1.06-1.08,0-.6-.47-1.08-1.06-1.08-.19,0-.37.05-.53.15-.51.3-.68.96-.39,1.47l.09.17-1.74,3.08-.24-.07h0s0,0,0,0c0,0-.01,0-.02,0l-.25-.06v-3.55l.16-.1c.16-.09.3-.23.39-.39.29-.52.12-1.17-.39-1.47-.51-.3-1.15-.12-1.45.39-.29.52-.12,1.17.39,1.47l.16.1v3.56l-.25.06s0,0,0,0c0,0-.02,0-.02,0l-.25.08-1.75-3.08.09-.17c.19-.33.19-.74,0-1.08-.29-.52-.94-.69-1.45-.39-.51.3-.68.96-.39,1.47.19.33.54.54.92.54h.19l1.74,3.08-.19.19h0s-.01.02-.01.02l-.18.19-3.03-1.78v-.19c0-.39-.2-.74-.53-.93,0,0-.02-.01-.03-.01-.51-.29-1.16-.1-1.44.42-.29.52-.1,1.18.41,1.47.33.19.73.19,1.06,0l.16-.1,3.01,1.77-.06.24s0,.03-.01.05h0s-.07.26-.07.26h-3.49l-.1-.17c-.19-.33-.54-.54-.92-.54-.38,0-.73.21-.92.54-.29.52-.12,1.17.39,1.47.51.3,1.16.12,1.45-.4l.1-.17h3.5l.06.26s0,0,0,0c0,0,0,0,0,.01l.07.26-3.02,1.78-.16-.1c-.16-.1-.34-.15-.53-.14-.48,0-.9.33-1.03.8-.07.28-.03.57.11.82.19.33.54.54.92.54.59,0,1.06-.48,1.06-1.08v-.19l.16-.1,2.85-1.68.18.17h0s0,0,0,0c.01.01.02.02.04.03l.18.18-.13.22-1.62,2.85h-.19c-.38,0-.73.21-.92.54-.29.52-.12,1.18.39,1.47.33.19.74.19,1.06,0,.51-.3.68-.96.38-1.47l-.09-.17,1.74-3.07.26.07h.01s0,0,0,0h0s.25.07.25.07v3.55l-.16.1c-.33.19-.53.55-.53.93,0,.6.47,1.08,1.06,1.08h0c.38,0,.73-.21.92-.54.29-.52.12-1.18-.38-1.48l-.16-.1v-3.55l.26-.07h.02l.25-.08,1.75,3.08-.09.17c-.19.33-.19.75,0,1.08,0,0,0,0,0,0,.29.51.94.69,1.45.39.51-.3.68-.96.39-1.47-.19-.33-.54-.54-.92-.54h-.19l-1.75-3.08.19-.18h0s0,0,0,0h0s.01-.02.02-.02h0s.18-.18.18-.18l.21.13,2.8,1.65v.19c0,.38.2.74.53.93.33.19.73.19,1.06,0,.51-.3.68-.96.39-1.47-.29-.52-.94-.69-1.45-.4l-.16.1-.16-.1-2.86-1.68.07-.25s0-.02,0-.02c0,0,0-.02,0-.03l.07-.24h3.49l.1.17c.09.16.23.3.39.4.51.3,1.16.12,1.45-.4.29-.52.12-1.18-.39-1.47Z" fill="#afe61e"/>
|
||||
</g>
|
||||
<circle class="circle" cx="16" cy="16" r="8" fill="#D3FF00" style="transform: translate(33px, 33px)" />
|
||||
</svg>
|
||||
|
After Width: | Height: | Size: 3.0 KiB |
7
static/icons/ico-model-stopped.svg
Normal file
7
static/icons/ico-model-stopped.svg
Normal file
@ -0,0 +1,7 @@
|
||||
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64">
|
||||
<g>
|
||||
<path d="M27.88,43.04l-5,5-5-5h3.33v-1.67c0-.92.75-1.67,1.67-1.67s1.67.75,1.67,1.67v1.67h3.33ZM27.88,44.71h3.33v1.67c0,.92.75,1.67,1.67,1.67s1.67-.75,1.67-1.67v-1.67h3.33l-5-5-5,5ZM28.84,22.31c-.26-.15-.55-.23-.84-.23h0c-.28,0-.56.07-.81.21l-.08.05h0c-.51.32-.82.88-.81,1.49,0,.62.33,1.2.86,1.51h.01c.83.48,1.87.18,2.34-.66.47-.84.17-1.9-.65-2.38ZM47.87,26.58c-.28,5.38-5.03,9.8-10.42,9.8H15.19c-3.67,0-6.95-3.03-7.28-6.68-.28-3.14,1.52-5.89,4.17-7.06-.12-.51-.2-1.04-.2-1.59,0-3.87,3.13-7,7-7,.61,0,1.18.1,1.74.25,1.49-3.66,5.06-6.25,9.26-6.25,4.9,0,8.96,3.53,9.82,8.18,4.82.89,8.44,5.22,8.17,10.35ZM35.47,22.89c-.51-.3-1.16-.12-1.45.4l-.1.17h-3.5l-.06-.26s0,0,0,0c0,0,0,0,0,0,0,0,0-.02,0-.02l-.07-.25,3.02-1.77.16.1c.33.19.73.19,1.06,0,.51-.3.68-.96.39-1.47-.19-.33-.54-.54-.92-.54-.59,0-1.06.48-1.06,1.08v.19l-.16.1-2.87,1.69-.18-.2s0,0,0,0c0,0,0,0,0,0h0s0,0,0,0h0s0,0,0,0l-.17-.18,1.74-3.07h.19c.59,0,1.06-.48,1.06-1.08,0-.6-.47-1.08-1.06-1.08-.19,0-.37.05-.53.15-.51.3-.68.96-.39,1.47l.09.17-1.74,3.08-.24-.07h0s0,0,0,0c0,0-.01,0-.02,0l-.25-.06v-3.55l.16-.1c.16-.09.3-.23.39-.39.29-.52.12-1.17-.39-1.47-.51-.3-1.15-.12-1.45.39-.29.52-.12,1.17.39,1.47l.16.1v3.56l-.25.06s0,0,0,0c0,0-.02,0-.02,0l-.25.08-1.75-3.08.09-.17c.19-.33.19-.74,0-1.08-.29-.52-.94-.69-1.45-.39-.51.3-.68.96-.39,1.47.19.33.54.54.92.54h.19l1.74,3.08-.19.19h0s-.01.02-.01.02l-.18.19-3.03-1.78v-.19c0-.39-.2-.74-.53-.93,0,0-.02-.01-.03-.01-.51-.29-1.16-.1-1.44.42-.29.52-.1,1.18.41,1.47.33.19.73.19,1.06,0l.16-.1,3.01,1.77-.06.24s0,.03-.01.05h0s-.07.26-.07.26h-3.49l-.1-.17c-.19-.33-.54-.54-.92-.54-.38,0-.73.21-.92.54-.29.52-.12,1.17.39,1.47.51.3,1.16.12,1.45-.4l.1-.17h3.5l.06.26s0,0,0,0c0,0,0,0,0,.01l.07.26-3.02,1.78-.16-.1c-.16-.1-.34-.15-.53-.14-.48,0-.9.33-1.03.8-.07.28-.03.57.11.82.19.33.54.54.92.54.59,0,1.06-.48,1.06-1.08v-.19l.16-.1,2.85-1.68.18.17h0s0,0,0,0c.01.01.02.02.04.03l.18.18-.13.22-1.62,2.85h-.19c-.38,0-.73.21-.92.54-.29.52-.12,1.18.39,1.47.33.19.74.19,1.06,0,.51-.3.68-.96.38-1.47l-.09-.17,1.74-3.07.26.07h.01s0,0,0,0h0s.25.07.25.07v3.55l-.16.1c-.33.19-.53.55-.53.93,0,.6.47,1.08,1.06,1.08h0c.38,0,.73-.21.92-.54.29-.52.12-1.18-.38-1.48l-.16-.1v-3.55l.26-.07h.02l.25-.08,1.75,3.08-.09.17c-.19.33-.19.75,0,1.08,0,0,0,0,0,0,.29.51.94.69,1.45.39.51-.3.68-.96.39-1.47-.19-.33-.54-.54-.92-.54h-.19l-1.75-3.08.19-.18h0s0,0,0,0h0s.01-.02.02-.02h0s.18-.18.18-.18l.21.13,2.8,1.65v.19c0,.38.2.74.53.93.33.19.73.19,1.06,0,.51-.3.68-.96.39-1.47-.29-.52-.94-.69-1.45-.4l-.16.1-.16-.1-2.86-1.68.07-.25s0-.02,0-.02c0,0,0-.02,0-.03l.07-.24h3.49l.1.17c.09.16.23.3.39.4.51.3,1.16.12,1.45-.4.29-.52.12-1.18-.39-1.47Z" fill="#afe61e"/>
|
||||
</g>
|
||||
<path d="M49 39C43.48 39 39 43.48 39 49C39 54.52 43.48 59 49 59C54.52 59 59 54.52 59 49C59 43.48 54.52 39 49 39Z" fill="#50BEFF"/>
|
||||
<rect x="45" y="45" width="8" height="8" rx="1" fill="white"/>
|
||||
</svg>
|
||||
|
After Width: | Height: | Size: 2.8 KiB |
Loading…
Reference in New Issue
Block a user