Instructions to use NetMindAI/MMUN-v0.1-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NetMindAI/MMUN-v0.1-7b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="NetMindAI/MMUN-v0.1-7b")# Load model directly from transformers import AutoProcessor, AutoModelForCausalLM processor = AutoProcessor.from_pretrained("NetMindAI/MMUN-v0.1-7b") model = AutoModelForCausalLM.from_pretrained("NetMindAI/MMUN-v0.1-7b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use NetMindAI/MMUN-v0.1-7b with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "NetMindAI/MMUN-v0.1-7b" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "NetMindAI/MMUN-v0.1-7b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/NetMindAI/MMUN-v0.1-7b
- SGLang
How to use NetMindAI/MMUN-v0.1-7b 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 "NetMindAI/MMUN-v0.1-7b" \ --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": "NetMindAI/MMUN-v0.1-7b", "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 "NetMindAI/MMUN-v0.1-7b" \ --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": "NetMindAI/MMUN-v0.1-7b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use NetMindAI/MMUN-v0.1-7b with Docker Model Runner:
docker model run hf.co/NetMindAI/MMUN-v0.1-7b
MMUN Model Card
Model details
- Model type: MMUN is a Multi-modal Mobile UI Navigation model trained on Android device operation data annotated by humans, focusing on operations of instant messaging apps. It is an autoregressive language model that utilizes the LLaVa architecture and replacing the LLM backbone with vicuna-7b-v1.5-16k for a longer context length.
- Developed by: NetMind.AI
License
Llama 2 is licensed under the LLAMA 2 Community License, Copyright (c) Meta Platforms, Inc. All Rights Reserved.
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