Instructions to use wrldsuksgo2mars/GLM-5.3-Flash-EXL3-K3-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use wrldsuksgo2mars/GLM-5.3-Flash-EXL3-K3-v1 with Transformers:

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

pipe = pipeline("image-text-to-text", model="wrldsuksgo2mars/GLM-5.3-Flash-EXL3-K3-v1")
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("wrldsuksgo2mars/GLM-5.3-Flash-EXL3-K3-v1")
model = AutoModelForMultimodalLM.from_pretrained("wrldsuksgo2mars/GLM-5.3-Flash-EXL3-K3-v1", 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 wrldsuksgo2mars/GLM-5.3-Flash-EXL3-K3-v1 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "wrldsuksgo2mars/GLM-5.3-Flash-EXL3-K3-v1"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "wrldsuksgo2mars/GLM-5.3-Flash-EXL3-K3-v1",
		"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/wrldsuksgo2mars/GLM-5.3-Flash-EXL3-K3-v1

SGLang

How to use wrldsuksgo2mars/GLM-5.3-Flash-EXL3-K3-v1 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 "wrldsuksgo2mars/GLM-5.3-Flash-EXL3-K3-v1" \
    --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": "wrldsuksgo2mars/GLM-5.3-Flash-EXL3-K3-v1",
		"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 "wrldsuksgo2mars/GLM-5.3-Flash-EXL3-K3-v1" \
        --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": "wrldsuksgo2mars/GLM-5.3-Flash-EXL3-K3-v1",
		"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 wrldsuksgo2mars/GLM-5.3-Flash-EXL3-K3-v1 with Docker Model Runner:
```
docker model run hf.co/wrldsuksgo2mars/GLM-5.3-Flash-EXL3-K3-v1
```

wrldsuksgo2mars commited on Aug 29

Commit

319d66a

verified ·

1 Parent(s): 8c02fb6

Restore official GLM-5.3 multimodal metadata

Browse files

Restore the exact processor, tokenizer/chat-template, and generation metadata from the Z.ai GLM-5.3-Flash source checkpoint. Model weights and quantization tensors are unchanged.

Files changed (3) hide show

generation_config.json +1 -2
processor_config.json +44 -0
tokenizer_config.json +2 -5

generation_config.json CHANGED Viewed

@@ -1,6 +1,5 @@
 {
   "_from_model_config": true,
-  "do_sample": true,
   "eos_token_id": [
     154820,
     154827,
@@ -9,5 +8,5 @@
   "pad_token_id": 154820,
   "temperature": 1.0,
   "top_p": 0.95,
-  "transformers_version": "5.16.1"
 }

 {
   "_from_model_config": true,
   "eos_token_id": [
     154820,
     154827,
   "pad_token_id": 154820,
   "temperature": 1.0,
   "top_p": 0.95,
+  "transformers_version": "5.16.0"
 }

processor_config.json ADDED Viewed

	@@ -0,0 +1,44 @@

+{
+  "image_processor": {
+    "do_rescale": true,
+    "patch_expand_factor": 1,
+    "merge_size": 2,
+    "image_mean": [
+      0.48145466,
+      0.4578275,
+      0.40821073
+    ],
+    "image_std": [
+      0.26862954,
+      0.26130258,
+      0.27577711
+    ],
+    "temporal_patch_size": 2,
+    "patch_size": 14,
+    "min_image_tokens": 16,
+    "max_image_tokens": 8000,
+    "image_processor_type": "Glm5NextImageProcessor"
+  },
+  "video_processor": {
+    "do_rescale": true,
+    "video_processor_type": "Glm5NextVideoProcessor",
+    "patch_expand_factor": 1,
+    "merge_size": 2,
+    "image_mean": [
+      0.48145466,
+      0.4578275,
+      0.40821073
+    ],
+    "image_std": [
+      0.26862954,
+      0.26130258,
+      0.27577711
+    ],
+    "temporal_patch_size": 2,
+    "patch_size": 14,
+    "min_image_tokens": 16,
+    "max_image_tokens": 240000,
+    "fps": 2
+  },
+  "processor_class": "Glm5NextProcessor"
+}

tokenizer_config.json CHANGED Viewed

@@ -23,14 +23,11 @@
     "<|begin_of_transcription|>",
     "<|end_of_transcription|>"
   ],
-  "fix_mistral_regex": true,
   "is_local": true,
-  "local_files_only": true,
   "model_max_length": 1048576,
   "model_specific_special_tokens": {},
   "pad_token": "<|endoftext|>",
   "padding_side": "left",
   "remove_space": false,
-  "tokenizer_class": "TokenizersBackendFast",
-  "_commit_hash": null
-}

     "<|begin_of_transcription|>",
     "<|end_of_transcription|>"
   ],
   "is_local": true,
   "model_max_length": 1048576,
   "model_specific_special_tokens": {},
   "pad_token": "<|endoftext|>",
   "padding_side": "left",
   "remove_space": false,
+  "tokenizer_class": "TokenizersBackend"
+}