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 / runtime-results /v34 /fp8-five-run-gpu23-receipt.json

brandonmusic

Publish independent five-run FP8 runtime KLD receipt

911adac verified about 1 month ago

Raw History Blame Contribute Delete

3.73 kB

	{
	"all_quality_gates_passed": true,
	"maximum_run_mean": 0.024891557640764127,
	"mean_of_run_means": 0.024701972040294416,
	"mean_top1_agreement": 0.9391304347826086,
	"minimum_run_mean": 0.02453289589104624,
	"population_stddev_of_run_means": 0.00011556388718720383,
	"prediction_positions_per_run": 2047,
	"regime": "v34 TP2 DCP1 eager no-MTP FP8 MLA KV on physical GPUs 2-3; final-0000 full 2048-token input, 2047 causal prediction positions, BF16 teacher, float64 KL",
	"run_count": 5,
	"runs": [
	{
	"capture_manifest_sha256": "aa43e7373459c7eae28b4d38ba62d8ab59d86c733a49073fef213de2bc72c4e5",
	"mean_kld": 0.024677178792442127,
	"prediction_positions": 2047,
	"quality_gate_passed": true,
	"report_path": "/home/brandonmusic/KLC_SANDBOXES/glm53-exl3-k4-sm120/results/kld/fp8-dcp1-eager-five-run-gpu23-v34/measurements/run-01/kld-report.json",
	"report_sha256": "11f3db97305080d7f4ebe010533e10de70a2fae53ebd67bcecc8cda3919fe1f6",
	"run": 1,
	"tokenwise_kld_sha256": "0abcf822d6c1788aba767940bf439f01a23d3cda009aa25f61c20345d7c77949",
	"top1_agreement": 0.9408891060087934
	},
	{
	"capture_manifest_sha256": "dc993031e86b7d6674133bafad61697d711b02535acd971d49a78aee479b0814",
	"mean_kld": 0.02453289589104624,
	"prediction_positions": 2047,
	"quality_gate_passed": true,
	"report_path": "/home/brandonmusic/KLC_SANDBOXES/glm53-exl3-k4-sm120/results/kld/fp8-dcp1-eager-five-run-gpu23-v34/measurements/run-02/kld-report.json",
	"report_sha256": "3897b7f3c905bce9897e7c6433c3e2e8cca18150828a5836fe759b3f4576d5ed",
	"run": 2,
	"tokenwise_kld_sha256": "ac539781b1dc47154db0eb9e187013ca37ee7baa49a4a4c44b26bdaf0583f5d4",
	"top1_agreement": 0.9418661455788959
	},
	{
	"capture_manifest_sha256": "faf78b9b2ac5d8a5f1c3f864fd1df53663fae30fa82776f56422e921d6b7b3ec",
	"mean_kld": 0.024732589677082917,
	"prediction_positions": 2047,
	"quality_gate_passed": true,
	"report_path": "/home/brandonmusic/KLC_SANDBOXES/glm53-exl3-k4-sm120/results/kld/fp8-dcp1-eager-five-run-gpu23-v34/measurements/run-03/kld-report.json",
	"report_sha256": "4db49c413e33ab679bf2fa401445e5e17624a12439edb663ef09eedda21ee6da",
	"run": 3,
	"tokenwise_kld_sha256": "b3192e6d32d1530686776bb45071c2b0be770617147644c1890913038325bb69",
	"top1_agreement": 0.9355153883732291
	},
	{
	"capture_manifest_sha256": "01523a113b4d458583f6680726a143fd768653dc57ade3ba82686e9e1b37090f",
	"mean_kld": 0.024675638200136674,
	"prediction_positions": 2047,
	"quality_gate_passed": true,
	"report_path": "/home/brandonmusic/KLC_SANDBOXES/glm53-exl3-k4-sm120/results/kld/fp8-dcp1-eager-five-run-gpu23-v34/measurements/run-04/kld-report.json",
	"report_sha256": "40fba105c292c73eadae7d0cc5f9e7bc9a635200e141b6036ea07e5367ef3296",
	"run": 4,
	"tokenwise_kld_sha256": "a5564d2ecfaad9ed8dec0c6bc16417ef64477608721bf04f85e21793d209cc3d",
	"top1_agreement": 0.9379579872984856
	},
	{
	"capture_manifest_sha256": "9dbaf33f7af6c1ab250bc3aa67072b2a20bdf75204657b4ed1198cf954f4cc09",
	"mean_kld": 0.024891557640764127,
	"prediction_positions": 2047,
	"quality_gate_passed": true,
	"report_path": "/home/brandonmusic/KLC_SANDBOXES/glm53-exl3-k4-sm120/results/kld/fp8-dcp1-eager-five-run-gpu23-v34/measurements/run-05/kld-report.json",
	"report_sha256": "4703aed62e9538c9fb49308dff5e2d873958484805c411de807023bba4febb9b",
	"run": 5,
	"tokenwise_kld_sha256": "2ce972e4b56173e55b035309de433aa805e83886533cfd603b5a79553737d101",
	"top1_agreement": 0.9394235466536395
	}
	],
	"schema": "glm53-r19-runtime-kld-repeated.v1"
	}