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

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
```

lumynax-infused-qwen25-omni-7b-voice / LICENSE.txt

AbteeXAILabs

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	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.