merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the passthrough merge method.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
slices:
- sources:
- model: psmathur/orca_mini_v3_13b
layer_range: [0, 24]
- sources:
- model: garage-bAInd/Platypus2-13B
layer_range: [20, 40]
merge_method: passthrough
dtype: float16
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Install from pip and serve model
# Install vLLM from pip: pip install vllm# Start the vLLM server: vllm serve "Trisert/OrcaPlus"# Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Trisert/OrcaPlus", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'