Rizla-69
This is a crop of momo-qwen-72B
This repository contains a state-of-the-art machine learning model that promises to bring big changes to the field. The model is trained on [describe the dataset or type of data here].
License
This project is licensed under the terms of the Apache 2.0 license.
Model Architecture
The model uses [describe the model architecture here, e.g., a transformer-based architecture with a specific type of attention mechanism].
Training
The model was trained on [describe the hardware used, e.g., an NVIDIA Tesla P100 GPU] using [mention the optimization algorithm, learning rate, batch size, number of epochs, etc.].
Results
Our model achieved [mention the results here, e.g., an accuracy of 95% on the test set].
Usage
To use the model in your project, follow these steps:
- Install the Hugging Face Transformers library:
pip install transformers
- Downloads last month
- 69
Install from pip and serve model
# Install vLLM from pip: pip install vllm# Start the vLLM server: vllm serve "rizla/rizla-69"# Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "rizla/rizla-69", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'