Model Stock: All we need is just a few fine-tuned models
Paper • 2403.19522 • Published • 15
This is a merge of pre-trained language models created using mergekit.
This model was merged using the Model Stock merge method using MaziyarPanahi/Calme-7B-Instruct-v0.9 as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
models:
- model: MaziyarPanahi/Calme-7B-Instruct-v0.9
- model: chihoonlee10/T3Q-Mistral-Orca-Math-DPO
- model: liminerity/M7-7b
merge_method: model_stock
base_model: MaziyarPanahi/Calme-7B-Instruct-v0.9
dtype: bfloat16
Install from pip and serve model
# Install vLLM from pip: pip install vllm# Start the vLLM server: vllm serve "mayacinka/Calme-Rity-stock"# Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "mayacinka/Calme-Rity-stock", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'