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Kearm
/
TQ3.5-27B-Musica-v1-GPTQ-4bit

Image-Text-to-Text
Safetensors
qwen3_5
conversational
4-bit precision
gptq
Model card Files Files and versions
xet
Community
1

Instructions to use Kearm/TQ3.5-27B-Musica-v1-GPTQ-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Local Apps Settings
  • vLLM

    How to use Kearm/TQ3.5-27B-Musica-v1-GPTQ-4bit with vLLM:

    Install from pip and serve model
    # Install vLLM from pip:
    pip install vllm
    # Start the vLLM server:
    vllm serve "Kearm/TQ3.5-27B-Musica-v1-GPTQ-4bit"
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:8000/v1/chat/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "Kearm/TQ3.5-27B-Musica-v1-GPTQ-4bit",
    		"messages": [
    			{
    				"role": "user",
    				"content": [
    					{
    						"type": "text",
    						"text": "Describe this image in one sentence."
    					},
    					{
    						"type": "image_url",
    						"image_url": {
    							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
    						}
    					}
    				]
    			}
    		]
    	}'
    Use Docker
    docker model run hf.co/Kearm/TQ3.5-27B-Musica-v1-GPTQ-4bit
  • SGLang

    How to use Kearm/TQ3.5-27B-Musica-v1-GPTQ-4bit 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 "Kearm/TQ3.5-27B-Musica-v1-GPTQ-4bit" \
        --host 0.0.0.0 \
        --port 30000
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:30000/v1/chat/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "Kearm/TQ3.5-27B-Musica-v1-GPTQ-4bit",
    		"messages": [
    			{
    				"role": "user",
    				"content": [
    					{
    						"type": "text",
    						"text": "Describe this image in one sentence."
    					},
    					{
    						"type": "image_url",
    						"image_url": {
    							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
    						}
    					}
    				]
    			}
    		]
    	}'
    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 "Kearm/TQ3.5-27B-Musica-v1-GPTQ-4bit" \
            --host 0.0.0.0 \
            --port 30000
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:30000/v1/chat/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "Kearm/TQ3.5-27B-Musica-v1-GPTQ-4bit",
    		"messages": [
    			{
    				"role": "user",
    				"content": [
    					{
    						"type": "text",
    						"text": "Describe this image in one sentence."
    					},
    					{
    						"type": "image_url",
    						"image_url": {
    							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
    						}
    					}
    				]
    			}
    		]
    	}'
  • Docker Model Runner

    How to use Kearm/TQ3.5-27B-Musica-v1-GPTQ-4bit with Docker Model Runner:

    docker model run hf.co/Kearm/TQ3.5-27B-Musica-v1-GPTQ-4bit
TQ3.5-27B-Musica-v1-GPTQ-4bit
18.7 GB
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  • 2 contributors
History: 3 commits
Kearm's picture
Kearm
AuriAetherwiing's picture
AuriAetherwiing
Add metadata (#1)
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