This model provides Milady-style responses to prompts, capturing the distinctive speech patterns and personality of Milady NFT characters.
1docker run --gpus all \
2 -p 8000:8000 \
3 --ipc=host \
4 vllm/vllm-openai:latest \
5 --model theycallmeloki/milady \
6 --tensor-parallel-size 4
1curl -X POST http://localhost:8000/v1/completions \
2 -H "Content-Type: application/json" \
3 -d '{
4 "model": "theycallmeloki/milady",
5 "prompt": "[INST] Transform the following prompt into a response written in Miladys characteristic style. Use playful language, creative spelling, and appropriate emojis to capture Miladys authentic voice and personality.\n\nYour question here [/INST]",
6 "max_tokens": 200,
7 "temperature": 0.9,
8 "top_p": 0.95
9 }'
This model was fine-tuned on a curated dataset of Milady-style text examples.
This model is based on the Mistral 7B Instruct v0.3 model, and is part of a greater collection of models that are part of the Milady Instrumentality Project.
This model provides 1-1 responses to a particular thought in the style of Milady. Subsequently the plan is to run a reasoning model and use this model to generate milady responses to thoughts generated from the reasoning model. Leading to synthetic training data for a girl math reasoning cute chain-of-thought milady model.
