Pre-release
This release is a pre-release and may not be stable for production use.
LiteRT-LM Python
Python bindings for LiteRT-LM, a production-ready, open-source inference framework designed to deliver high-performance, cross-platform LLM deployments on edge devices.
Usage
Here is a simple example showing how to load a model and interact with it using the Python API:
import litert_lm
# Load the model using the CPU backend
with litert_lm.Engine("path/to/model.litertlm") as engine:
# Create a conversation and generate a response
with engine.create_conversation() as conversation:
user_message = "Hello world!"
# Alternative: send the full message for prompt template
# user_message = {"role": "user", "content": "Hello world!"}
# Synchronous completion
response = conversation.send_message(user_message)
print("Response:", response["content"][0]["text"])
# Asynchronous / Streaming completion
# stream = conversation.send_message_async(user_message)
# for text_piece in stream:
# print(text_piece, end="", flush=True)
For more information, please visit the main repository.
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