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
```

brandonmusic commited on Aug 27

Commit

7b4d022

verified ·

1 Parent(s): 911adac

Publish independent five-run FP8 KLD reports

Browse files

Files changed (5) hide show

runtime-results/v34/fp8-five-run-gpu23/run-01/kld-report.json +30 -0
runtime-results/v34/fp8-five-run-gpu23/run-02/kld-report.json +30 -0
runtime-results/v34/fp8-five-run-gpu23/run-03/kld-report.json +30 -0
runtime-results/v34/fp8-five-run-gpu23/run-04/kld-report.json +30 -0
runtime-results/v34/fp8-five-run-gpu23/run-05/kld-report.json +30 -0

runtime-results/v34/fp8-five-run-gpu23/run-01/kld-report.json ADDED Viewed

	@@ -0,0 +1,30 @@

+{
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+  "capture_manifest_sha256": "aa43e7373459c7eae28b4d38ba62d8ab59d86c733a49073fef213de2bc72c4e5",
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+  "kld_direction": "bf16_teacher_to_r19_exl3_runtime",
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+  "schema": "glm53-r19-runtime-window-kld.v1",
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+  "teacher_sha256": "9f49af1b1b1a6ac88a00f5feaa89c25232597306d73d7c0cd30bb7e9c775cfb6",
+  "tokens_sha256": "338027e62f41540f73e38c6f9b4b9a06a50196cbd38cd9c69f11886af9d3cf9f",
+  "tokenwise_kld_path": "/home/brandonmusic/KLC_SANDBOXES/glm53-exl3-k4-sm120/results/kld/fp8-dcp1-eager-five-run-gpu23-v34/measurements/run-01/tokenwise-kld.npy",
+  "tokenwise_kld_sha256": "0abcf822d6c1788aba767940bf439f01a23d3cda009aa25f61c20345d7c77949",
+  "top1_agreement": 0.9408891060087934,
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+}

runtime-results/v34/fp8-five-run-gpu23/run-02/kld-report.json ADDED Viewed

	@@ -0,0 +1,30 @@

+{
+  "capture_manifest_path": "/home/brandonmusic/KLC_SANDBOXES/glm53-exl3-k4-sm120/results/kld/fp8-dcp1-eager-five-run-gpu23-v34/capture/run-02-capture-manifest.json",
+  "capture_manifest_sha256": "dc993031e86b7d6674133bafad61697d711b02535acd971d49a78aee479b0814",
+  "compute_device": "cuda:2",
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+  "elapsed_seconds": 1.4359246700187214,
+  "kld_direction": "bf16_teacher_to_r19_exl3_runtime",
+  "max_mean_kld": 0.06,
+  "mean_kld_gate_passed": true,
+  "prediction_positions": 2047,
+  "schema": "glm53-r19-runtime-window-kld.v1",
+  "summary": {
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+  "tokens_sha256": "338027e62f41540f73e38c6f9b4b9a06a50196cbd38cd9c69f11886af9d3cf9f",
+  "tokenwise_kld_path": "/home/brandonmusic/KLC_SANDBOXES/glm53-exl3-k4-sm120/results/kld/fp8-dcp1-eager-five-run-gpu23-v34/measurements/run-02/tokenwise-kld.npy",
+  "tokenwise_kld_sha256": "ac539781b1dc47154db0eb9e187013ca37ee7baa49a4a4c44b26bdaf0583f5d4",
+  "top1_agreement": 0.9418661455788959,
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+  "window_id": "final-0000"
+}

runtime-results/v34/fp8-five-run-gpu23/run-03/kld-report.json ADDED Viewed

	@@ -0,0 +1,30 @@

+{
+  "capture_manifest_path": "/home/brandonmusic/KLC_SANDBOXES/glm53-exl3-k4-sm120/results/kld/fp8-dcp1-eager-five-run-gpu23-v34/capture/run-03-capture-manifest.json",
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+  "compute_device": "cuda:2",
+  "compute_dtype": "float64",
+  "elapsed_seconds": 1.4361105849966407,
+  "kld_direction": "bf16_teacher_to_r19_exl3_runtime",
+  "max_mean_kld": 0.06,
+  "mean_kld_gate_passed": true,
+  "prediction_positions": 2047,
+  "schema": "glm53-r19-runtime-window-kld.v1",
+  "summary": {
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+  "teacher_sha256": "9f49af1b1b1a6ac88a00f5feaa89c25232597306d73d7c0cd30bb7e9c775cfb6",
+  "tokens_sha256": "338027e62f41540f73e38c6f9b4b9a06a50196cbd38cd9c69f11886af9d3cf9f",
+  "tokenwise_kld_path": "/home/brandonmusic/KLC_SANDBOXES/glm53-exl3-k4-sm120/results/kld/fp8-dcp1-eager-five-run-gpu23-v34/measurements/run-03/tokenwise-kld.npy",
+  "tokenwise_kld_sha256": "b3192e6d32d1530686776bb45071c2b0be770617147644c1890913038325bb69",
+  "top1_agreement": 0.9355153883732291,
+  "vocab_size": 154880,
+  "window_id": "final-0000"
+}

runtime-results/v34/fp8-five-run-gpu23/run-04/kld-report.json ADDED Viewed

	@@ -0,0 +1,30 @@

+{
+  "capture_manifest_path": "/home/brandonmusic/KLC_SANDBOXES/glm53-exl3-k4-sm120/results/kld/fp8-dcp1-eager-five-run-gpu23-v34/capture/run-04-capture-manifest.json",
+  "capture_manifest_sha256": "01523a113b4d458583f6680726a143fd768653dc57ade3ba82686e9e1b37090f",
+  "compute_device": "cuda:2",
+  "compute_dtype": "float64",
+  "elapsed_seconds": 1.4678278209757991,
+  "kld_direction": "bf16_teacher_to_r19_exl3_runtime",
+  "max_mean_kld": 0.06,
+  "mean_kld_gate_passed": true,
+  "prediction_positions": 2047,
+  "schema": "glm53-r19-runtime-window-kld.v1",
+  "summary": {
+    "count": 2047,
+    "cvar95": 0.2029298909564702,
+    "max": 1.1246660671716389,
+    "mean": 0.024675638200136674,
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+    "p95": 0.07954193875120669,
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+  "teacher_sha256": "9f49af1b1b1a6ac88a00f5feaa89c25232597306d73d7c0cd30bb7e9c775cfb6",
+  "tokens_sha256": "338027e62f41540f73e38c6f9b4b9a06a50196cbd38cd9c69f11886af9d3cf9f",
+  "tokenwise_kld_path": "/home/brandonmusic/KLC_SANDBOXES/glm53-exl3-k4-sm120/results/kld/fp8-dcp1-eager-five-run-gpu23-v34/measurements/run-04/tokenwise-kld.npy",
+  "tokenwise_kld_sha256": "a5564d2ecfaad9ed8dec0c6bc16417ef64477608721bf04f85e21793d209cc3d",
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+  "window_id": "final-0000"
+}

runtime-results/v34/fp8-five-run-gpu23/run-05/kld-report.json ADDED Viewed

	@@ -0,0 +1,30 @@

+{
+  "capture_manifest_path": "/home/brandonmusic/KLC_SANDBOXES/glm53-exl3-k4-sm120/results/kld/fp8-dcp1-eager-five-run-gpu23-v34/capture/run-05-capture-manifest.json",
+  "capture_manifest_sha256": "9dbaf33f7af6c1ab250bc3aa67072b2a20bdf75204657b4ed1198cf954f4cc09",
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+  "kld_direction": "bf16_teacher_to_r19_exl3_runtime",
+  "max_mean_kld": 0.06,
+  "mean_kld_gate_passed": true,
+  "prediction_positions": 2047,
+  "schema": "glm53-r19-runtime-window-kld.v1",
+  "summary": {
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+  "teacher_sha256": "9f49af1b1b1a6ac88a00f5feaa89c25232597306d73d7c0cd30bb7e9c775cfb6",
+  "tokens_sha256": "338027e62f41540f73e38c6f9b4b9a06a50196cbd38cd9c69f11886af9d3cf9f",
+  "tokenwise_kld_path": "/home/brandonmusic/KLC_SANDBOXES/glm53-exl3-k4-sm120/results/kld/fp8-dcp1-eager-five-run-gpu23-v34/measurements/run-05/tokenwise-kld.npy",
+  "tokenwise_kld_sha256": "2ce972e4b56173e55b035309de433aa805e83886533cfd603b5a79553737d101",
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+  "window_id": "final-0000"
+}