Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch
Paper • 2311.03099 • Published • 33
Weekend
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the DARE TIES merge method using ResplendentAI/Paradigm_7B as a base.
Models Merged
The following models were included in the merge:
- ResplendentAI/Paradigm_7B + jeiku/Theory_of_Mind_Roleplay_Mistral
- ResplendentAI/Paradigm_7B + jeiku/Theory_of_Mind_Mistral
Configuration
The following YAML configuration was used to produce this model:
merge_method: dare_ties
base_model: ResplendentAI/Paradigm_7B
parameters:
normalize: true
models:
- model: ResplendentAI/Paradigm_7B+jeiku/Theory_of_Mind_Roleplay_Mistral
parameters:
weight: 1
- model: ResplendentAI/Paradigm_7B+jeiku/Theory_of_Mind_Mistral
parameters:
weight: 1
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 "jeiku/Weekend_Project"# Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "jeiku/Weekend_Project", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'