This is the source code for a RunPod Serverless worker for LLaVA: Large Language and Vision Assistant.
| Model | Environment Variable Value | Default |
|---|---|---|
| llava-v1.5-13b | liuhaotian/llava-v1.5-13b | no |
| llava-v1.5-7b | liuhaotian/llava-v1.5-7b | yes |
| BakLLaVA-1 | SkunkworksAI/BakLLaVA-1 | no |
There are two options:
- Network Volume
- Standalone (without Network Volume)
You can send requests to your RunPod API Endpoint using the /run
or /runsync endpoints.
Requests sent to the /run endpoint will be handled asynchronously,
and are non-blocking operations. Your first response status will always
be IN_QUEUE. You need to send subsequent requests to the /status
endpoint to get further status updates, and eventually the COMPLETED
status will be returned if your request is successful.
Requests sent to the /runsync endpoint will be handled synchronously
and are blocking operations. If they are processed by a worker within
90 seconds, the result will be returned in the response, but if
the processing time exceeds 90 seconds, you will need to handle the
response and request status updates from the /status endpoint until
you receive the COMPLETED status which indicates that your request
was successful.
| Status | Description |
|---|---|
| IN_QUEUE | Request is in the queue waiting to be picked up by a worker. You can call the /status endpoint to check for status updates. |
| IN_PROGRESS | Request is currently being processed by a worker. You can call the /status endpoint to check for status updates. |
| FAILED | The request failed, most likely due to encountering an error. |
| CANCELLED | The request was cancelled. This usually happens when you call the /cancel endpoint to cancel the request. |
| TIMED_OUT | The request timed out. This usually happens when your handler throws some kind of exception that does return a valid response. |
| COMPLETED | The request completed successfully and the output is available in the output field of the response. |
The serverless handler (rp_handler.py) is a Python script that handles
the API requests to your Endpoint using the runpod
Python library. It defines a function handler(event) that takes an
API request (event), runs the inference using LLaVA with the input, and returns
the output in the JSON response.
- Generative Labs YouTube Tutorials
- Getting Started With RunPod Serverless
- Serverless | Create a Custom Basic API
Pull requests and issues on GitHub are welcome. Bug fixes and new features are encouraged.
You can contact me and get help with deploying your Serverless worker to RunPod on the RunPod Discord Server below, my username is ashleyk.
