Instructions to use ATH-MaaS/Parrot-14B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ATH-MaaS/Parrot-14B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="ATH-MaaS/Parrot-14B", device_map="auto")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ATH-MaaS/Parrot-14B", dtype="auto", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use ATH-MaaS/Parrot-14B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "ATH-MaaS/Parrot-14B" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "ATH-MaaS/Parrot-14B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/ATH-MaaS/Parrot-14B
- SGLang
How to use ATH-MaaS/Parrot-14B 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 "ATH-MaaS/Parrot-14B" \ --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": "ATH-MaaS/Parrot-14B", "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 "ATH-MaaS/Parrot-14B" \ --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": "ATH-MaaS/Parrot-14B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use ATH-MaaS/Parrot-14B with Docker Model Runner:
docker model run hf.co/ATH-MaaS/Parrot-14B
Add pipeline tag
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by nielsr HF Staff - opened
README.md
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# Model Card
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<!-- Provide a quick summary of what the model is/does. -->
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Parrot is a multi-language and multi-modal large language model capable of achieving excellent performance.
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```
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# License
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The project is licensed under Apache License Version 2.0 and is restricted to uses that comply with the license agreements of Qwen and Clip.
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pipeline_tag: image-text-to-text
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---
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# Model Card
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<!-- Provide a quick summary of what the model is/does. -->
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Parrot is a multi-language and multi-modal large language model capable of achieving excellent performance.
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```
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# License
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The project is licensed under Apache License Version 2.0 and is restricted to uses that comply with the license agreements of Qwen and Clip.
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