Instructions to use brandonmusic/GLM-5.3-Flash-tr3-4bpw with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use brandonmusic/GLM-5.3-Flash-tr3-4bpw with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("image-text-to-text", model="brandonmusic/GLM-5.3-Flash-tr3-4bpw")
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
pipe(text=messages)

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoProcessor, AutoModelForMultimodalLM

processor = AutoProcessor.from_pretrained("brandonmusic/GLM-5.3-Flash-tr3-4bpw")
model = AutoModelForMultimodalLM.from_pretrained("brandonmusic/GLM-5.3-Flash-tr3-4bpw", device_map="auto")
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
inputs = processor.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=256)
print(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use brandonmusic/GLM-5.3-Flash-tr3-4bpw with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "brandonmusic/GLM-5.3-Flash-tr3-4bpw"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "brandonmusic/GLM-5.3-Flash-tr3-4bpw",
		"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/brandonmusic/GLM-5.3-Flash-tr3-4bpw

SGLang

How to use brandonmusic/GLM-5.3-Flash-tr3-4bpw 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 "brandonmusic/GLM-5.3-Flash-tr3-4bpw" \
    --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": "brandonmusic/GLM-5.3-Flash-tr3-4bpw",
		"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 "brandonmusic/GLM-5.3-Flash-tr3-4bpw" \
        --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": "brandonmusic/GLM-5.3-Flash-tr3-4bpw",
		"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 brandonmusic/GLM-5.3-Flash-tr3-4bpw with Docker Model Runner:
```
docker model run hf.co/brandonmusic/GLM-5.3-Flash-tr3-4bpw
```

GLM-5.3-Flash-tr3-4bpw

File size: 1,247 Bytes

5ab363a

{
  "schema": "brandonmusic.glm53.v84-release-validation.v1",
  "image": "verdictai/glm53-flash-exl3-k4:r19-sm120-tp2-ep2-dcp2-v84-dflash2@sha256:0f1cdcc8891f1cc3a444121eb61d366289a1cbba285f0892dcbb24bc94961692",
  "hardware": {
    "gpus": "2x RTX PRO 6000 Blackwell Workstation Edition 96 GB",
    "device_ids": [1, 3],
    "power_limit_w_each": 300,
    "memory_clock_offset_mhz": 6000,
    "ecc": "disabled"
  },
  "runtime": {
    "tp": 2,
    "ep": 2,
    "dcp": 2,
    "target_kv_cache": "nvfp4_ds_mla",
    "draft_attention": "TRITON_ATTN",
    "draft_tokens": 7,
    "max_model_len": 98304,
    "allocated_kv_tokens": 129473,
    "prefix_cache": false
  },
  "acceptance": {
    "dataset": "openai/gsm8k main/test first 16 rows",
    "reasoning_effort": "max",
    "temperature": 1.0,
    "top_p": 0.95,
    "mean_accepted_tokens": 5.738763,
    "weighted_accepted_tokens": 5.550212,
    "completion_tokens": 3928,
    "stopped": 16,
    "length_capped": 0
  },
  "smoke": {
    "health": "pass",
    "text": "pass",
    "multimodal_warmup": "pass",
    "image_request": "pass: mallard"
  },
  "tests": {
    "triton_noncausal_swa": "1 passed",
    "dflash2_speculator": "5 passed",
    "vision_rope_packaging_fallback": "1 passed"
  }
}