How to use from
vLLM
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
	}'
Use Docker
docker model run hf.co/mayacinka/Calme-Rity-stock
Quick Links

merge

This is a merge of pre-trained language models created using mergekit.

Merge Details

Merge Method

This model was merged using the Model Stock merge method using MaziyarPanahi/Calme-7B-Instruct-v0.9 as a base.

Models Merged

The following models were included in the merge:

Configuration

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
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Model size
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Tensor type
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