How to use from
vLLM
Install from pip and serve model
# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "raveenpl/merge-test"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "raveenpl/merge-test",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'
Use Docker
docker model run hf.co/raveenpl/merge-test
Quick Links

Marcoro14-7B-slerp

Marcoro14-7B-slerp is a merge of the following models using mergekit:

🧩 Configuration

```yaml slices:

  • sources:
    • model: AIDC-ai-business/Marcoroni-7B-v3 layer_range: [0, 32]
    • model: EmbeddedLLM/Mistral-7B-Merge-14-v0.1 layer_range: [0, 32]

merge_method: slerp base_model: AIDC-ai-business/Marcoroni-7B-v3 parameters: t: - filter: self_attn value: [0, 0.5, 0.3, 0.7, 1] - filter: mlp value: [1, 0.5, 0.7, 0.3, 0] - value: 0.5 dtype: bfloat16 ```

Downloads last month
11
Safetensors
Model size
13B params
Tensor type
F16
·
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support