Instructions to use ddh0/OrcaMaid-13b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ddh0/OrcaMaid-13b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="ddh0/OrcaMaid-13b")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("ddh0/OrcaMaid-13b") model = AutoModelForCausalLM.from_pretrained("ddh0/OrcaMaid-13b") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use ddh0/OrcaMaid-13b with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "ddh0/OrcaMaid-13b" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "ddh0/OrcaMaid-13b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/ddh0/OrcaMaid-13b
- SGLang
How to use ddh0/OrcaMaid-13b with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "ddh0/OrcaMaid-13b" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "ddh0/OrcaMaid-13b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "ddh0/OrcaMaid-13b" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "ddh0/OrcaMaid-13b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use ddh0/OrcaMaid-13b with Docker Model Runner:
docker model run hf.co/ddh0/OrcaMaid-13b
OrcaMaid 7B (Merge of NoroMaid 7B (Fine-tuned Mistral 7B) with Orca-2 7B)
Any chance of a OrcaMaid 7B made from the merging of NoroMaid 7B and Orca-2 7B? If possible, the potential for it would be amazing! Combining the intelligence and performance of Mistral 7B with the reasoning and intelligence of Orca-2 7b would be powerful - if it is possible.🤔🤩
hey, just saw this. it is possible but it would only have the context length of 4096. also if you're on discord feel free contact me there, i'm "mfunlimited"
That would be fine. With Orca's reasoning abilities and Noromaid 7B's (Fine-tuned Mistral) expansive text-generation - and with a sprinkle of cat, the model would be awesome! 🤩
I second this. Mistrals are great for taking models on the road (laptops etc)