Instructions to use raydelossantos/OmniCoder-9B-GPTQ-Int4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Local Apps

How to use raydelossantos/OmniCoder-9B-GPTQ-Int4 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "raydelossantos/OmniCoder-9B-GPTQ-Int4"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "raydelossantos/OmniCoder-9B-GPTQ-Int4",
		"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/raydelossantos/OmniCoder-9B-GPTQ-Int4

SGLang

How to use raydelossantos/OmniCoder-9B-GPTQ-Int4 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 "raydelossantos/OmniCoder-9B-GPTQ-Int4" \
    --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": "raydelossantos/OmniCoder-9B-GPTQ-Int4",
		"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 "raydelossantos/OmniCoder-9B-GPTQ-Int4" \
        --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": "raydelossantos/OmniCoder-9B-GPTQ-Int4",
		"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 raydelossantos/OmniCoder-9B-GPTQ-Int4 with Docker Model Runner:
```
docker model run hf.co/raydelossantos/OmniCoder-9B-GPTQ-Int4
```

OmniCoder-9B-GPTQ-Int4 / processor_config.json

raydelossantos

Add processor_config.json with video processor for vLLM compat

e49380d verified about 2 months ago

raw

history blame contribute delete

1.17 kB

	{
	"image_processor": {
	"data_format": "channels_first",
	"do_convert_rgb": true,
	"do_normalize": true,
	"do_rescale": true,
	"do_resize": true,
	"image_mean": [0.5, 0.5, 0.5],
	"image_processor_type": "Qwen2VLImageProcessorFast",
	"image_std": [0.5, 0.5, 0.5],
	"merge_size": 2,
	"patch_size": 16,
	"resample": 3,
	"rescale_factor": 0.00392156862745098,
	"size": {"longest_edge": 16777216, "shortest_edge": 65536},
	"temporal_patch_size": 2
	},
	"processor_class": "Qwen3VLProcessor",
	"video_processor": {
	"data_format": "channels_first",
	"default_to_square": true,
	"do_convert_rgb": true,
	"do_normalize": true,
	"do_rescale": true,
	"do_resize": true,
	"do_sample_frames": true,
	"fps": 2,
	"image_mean": [0.5, 0.5, 0.5],
	"image_std": [0.5, 0.5, 0.5],
	"max_frames": 768,
	"merge_size": 2,
	"min_frames": 4,
	"patch_size": 16,
	"resample": 3,
	"rescale_factor": 0.00392156862745098,
	"return_metadata": false,
	"size": {"longest_edge": 25165824, "shortest_edge": 4096},
	"temporal_patch_size": 2,
	"video_processor_type": "Qwen3VLVideoProcessor"
	}
	}