Image-Text-to-Text
Transformers
Safetensors
English
Māori
abteex-ai-labs
aotearoa
audio
general
local-first
lumynax
new-zealand
qwen
sovereign-ai
text
voice
Instructions to use AbteeXAILab/lumynax-infused-qwen25-omni-7b-voice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AbteeXAILab/lumynax-infused-qwen25-omni-7b-voice with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="AbteeXAILab/lumynax-infused-qwen25-omni-7b-voice")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AbteeXAILab/lumynax-infused-qwen25-omni-7b-voice", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use AbteeXAILab/lumynax-infused-qwen25-omni-7b-voice with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "AbteeXAILab/lumynax-infused-qwen25-omni-7b-voice" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "AbteeXAILab/lumynax-infused-qwen25-omni-7b-voice", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/AbteeXAILab/lumynax-infused-qwen25-omni-7b-voice
- SGLang
How to use AbteeXAILab/lumynax-infused-qwen25-omni-7b-voice 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 "AbteeXAILab/lumynax-infused-qwen25-omni-7b-voice" \ --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": "AbteeXAILab/lumynax-infused-qwen25-omni-7b-voice", "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 "AbteeXAILab/lumynax-infused-qwen25-omni-7b-voice" \ --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": "AbteeXAILab/lumynax-infused-qwen25-omni-7b-voice", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use AbteeXAILab/lumynax-infused-qwen25-omni-7b-voice with Docker Model Runner:
docker model run hf.co/AbteeXAILab/lumynax-infused-qwen25-omni-7b-voice
File size: 500 Bytes
3d83774 | 1 2 3 4 5 6 7 8 9 10 11 12 | LumynaX Infused Qwen2.5 Omni 7B Voice Copyright (c) AbteeX AI Labs. All rights reserved. This release is proprietary. No right to use, copy, modify, distribute, host, sublicense, reverse engineer, or create derivative releases is granted except under a separate written agreement from AbteeX AI Labs. This package may be used only by parties expressly authorized by AbteeX AI Labs. Third-party software or model components, if any, remain subject to their own licenses and obligations. |