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Duplicated from  nvidia/Nemotron-Labs-Audex-30B-A3B

Mattral
/
Nemotron-Labs-Audex-30B-A3B

Text Generation
Transformers
Safetensors
English
nemotron_labs_audex
nvidia
nemotron-labs-audex
reasoning
general-purpose
SFT
RL
audio-language-modeling
audio-understanding
text-to-speech
text-to-audio
speech-recognition
speech-translation
Model card Files Files and versions
xet
Community

Instructions to use Mattral/Nemotron-Labs-Audex-30B-A3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Mattral/Nemotron-Labs-Audex-30B-A3B with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-generation", model="Mattral/Nemotron-Labs-Audex-30B-A3B")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Mattral/Nemotron-Labs-Audex-30B-A3B", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • vLLM

    How to use Mattral/Nemotron-Labs-Audex-30B-A3B with vLLM:

    Install from pip and serve model
    # Install vLLM from pip:
    pip install vllm
    # Start the vLLM server:
    vllm serve "Mattral/Nemotron-Labs-Audex-30B-A3B"
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:8000/v1/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "Mattral/Nemotron-Labs-Audex-30B-A3B",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
    Use Docker
    docker model run hf.co/Mattral/Nemotron-Labs-Audex-30B-A3B
  • SGLang

    How to use Mattral/Nemotron-Labs-Audex-30B-A3B 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 "Mattral/Nemotron-Labs-Audex-30B-A3B" \
        --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": "Mattral/Nemotron-Labs-Audex-30B-A3B",
    		"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 "Mattral/Nemotron-Labs-Audex-30B-A3B" \
            --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": "Mattral/Nemotron-Labs-Audex-30B-A3B",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
  • Docker Model Runner

    How to use Mattral/Nemotron-Labs-Audex-30B-A3B with Docker Model Runner:

    docker model run hf.co/Mattral/Nemotron-Labs-Audex-30B-A3B
Nemotron-Labs-Audex-30B-A3B / enhancement_VAE
2.62 GB
Ctrl+K
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  • 2 contributors
History: 1 commit
Mattral's picture
Mattral
Duplicate from nvidia/Nemotron-Labs-Audex-30B-A3B
9a3da50 29 days ago
  • README.md
    1.94 kB
    Duplicate from nvidia/Nemotron-Labs-Audex-30B-A3B 29 days ago
  • XCodec_RVQ4_mono_causal_fp32.safetensors
    2.62 GB
    xet
    Duplicate from nvidia/Nemotron-Labs-Audex-30B-A3B 29 days ago
  • config.json
    1.08 kB
    Duplicate from nvidia/Nemotron-Labs-Audex-30B-A3B 29 days ago
  • enhance_audio_48k.py
    2.41 kB
    Duplicate from nvidia/Nemotron-Labs-Audex-30B-A3B 29 days ago
  • enhancement_vae.py
    21.9 kB
    Duplicate from nvidia/Nemotron-Labs-Audex-30B-A3B 29 days ago