Instructions to use TsinghuaC3I/ZEDA-GLM-4.7-Flash-Dynamic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use TsinghuaC3I/ZEDA-GLM-4.7-Flash-Dynamic with Transformers:

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

pipe = pipeline("text-generation", model="TsinghuaC3I/ZEDA-GLM-4.7-Flash-Dynamic")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("TsinghuaC3I/ZEDA-GLM-4.7-Flash-Dynamic", dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use TsinghuaC3I/ZEDA-GLM-4.7-Flash-Dynamic with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "TsinghuaC3I/ZEDA-GLM-4.7-Flash-Dynamic"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "TsinghuaC3I/ZEDA-GLM-4.7-Flash-Dynamic",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/TsinghuaC3I/ZEDA-GLM-4.7-Flash-Dynamic

SGLang

How to use TsinghuaC3I/ZEDA-GLM-4.7-Flash-Dynamic 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 "TsinghuaC3I/ZEDA-GLM-4.7-Flash-Dynamic" \
    --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": "TsinghuaC3I/ZEDA-GLM-4.7-Flash-Dynamic",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

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 "TsinghuaC3I/ZEDA-GLM-4.7-Flash-Dynamic" \
        --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": "TsinghuaC3I/ZEDA-GLM-4.7-Flash-Dynamic",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use TsinghuaC3I/ZEDA-GLM-4.7-Flash-Dynamic with Docker Model Runner:
```
docker model run hf.co/TsinghuaC3I/ZEDA-GLM-4.7-Flash-Dynamic
```

ZEDA-GLM-4.7-Flash-Dynamic / tokenizer_config.json

XingtaiHF

Upload folder using huggingface_hub

1051746 verified 2 days ago

raw

history blame contribute delete

7.23 kB

	{
	"added_tokens_decoder": {
	"154820": {
	"content": "<\|endoftext\|>",
	"single_word": false,
	"lstrip": false,
	"rstrip": false,
	"normalized": false,
	"special": true
	},
	"154821": {
	"content": "[MASK]",
	"single_word": false,
	"lstrip": false,
	"rstrip": false,
	"normalized": false,
	"special": true
	},
	"154822": {
	"content": "[gMASK]",
	"single_word": false,
	"lstrip": false,
	"rstrip": false,
	"normalized": false,
	"special": true
	},
	"154823": {
	"content": "[sMASK]",
	"single_word": false,
	"lstrip": false,
	"rstrip": false,
	"normalized": false,
	"special": true
	},
	"154824": {
	"content": "<sop>",
	"single_word": false,
	"lstrip": false,
	"rstrip": false,
	"normalized": false,
	"special": true
	},
	"154825": {
	"content": "<eop>",
	"single_word": false,
	"lstrip": false,
	"rstrip": false,
	"normalized": false,
	"special": true
	},
	"154826": {
	"content": "<\|system\|>",
	"single_word": false,
	"lstrip": false,
	"rstrip": false,
	"normalized": false,
	"special": true
	},
	"154827": {
	"content": "<\|user\|>",
	"single_word": false,
	"lstrip": false,
	"rstrip": false,
	"normalized": false,
	"special": true
	},
	"154828": {
	"content": "<\|assistant\|>",
	"single_word": false,
	"lstrip": false,
	"rstrip": false,
	"normalized": false,
	"special": true
	},
	"154829": {
	"content": "<\|observation\|>",
	"single_word": false,
	"lstrip": false,
	"rstrip": false,
	"normalized": false,
	"special": true
	},
	"154830": {
	"content": "<\|begin_of_image\|>",
	"single_word": false,
	"lstrip": false,
	"rstrip": false,
	"normalized": false,
	"special": true
	},
	"154831": {
	"content": "<\|end_of_image\|>",
	"single_word": false,
	"lstrip": false,
	"rstrip": false,
	"normalized": false,
	"special": true
	},
	"154832": {
	"content": "<\|begin_of_video\|>",
	"single_word": false,
	"lstrip": false,
	"rstrip": false,
	"normalized": false,
	"special": true
	},
	"154833": {
	"content": "<\|end_of_video\|>",
	"single_word": false,
	"lstrip": false,
	"rstrip": false,
	"normalized": false,
	"special": true
	},
	"154834": {
	"content": "<\|begin_of_audio\|>",
	"single_word": false,
	"lstrip": false,
	"rstrip": false,
	"normalized": false,
	"special": true
	},
	"154835": {
	"content": "<\|end_of_audio\|>",
	"single_word": false,
	"lstrip": false,
	"rstrip": false,
	"normalized": false,
	"special": true
	},
	"154836": {
	"content": "<\|begin_of_transcription\|>",
	"single_word": false,
	"lstrip": false,
	"rstrip": false,
	"normalized": false,
	"special": true
	},
	"154837": {
	"content": "<\|end_of_transcription\|>",
	"single_word": false,
	"lstrip": false,
	"rstrip": false,
	"normalized": false,
	"special": true
	},
	"154838": {
	"content": "<\|code_prefix\|>",
	"single_word": false,
	"lstrip": false,
	"rstrip": false,
	"normalized": false,
	"special": false
	},
	"154839": {
	"content": "<\|code_middle\|>",
	"single_word": false,
	"lstrip": false,
	"rstrip": false,
	"normalized": false,
	"special": false
	},
	"154840": {
	"content": "<\|code_suffix\|>",
	"single_word": false,
	"lstrip": false,
	"rstrip": false,
	"normalized": false,
	"special": false
	},
	"154841": {
	"content": "<think>",
	"single_word": false,
	"lstrip": false,
	"rstrip": false,
	"normalized": false,
	"special": false
	},
	"154842": {
	"content": "</think>",
	"single_word": false,
	"lstrip": false,
	"rstrip": false,
	"normalized": false,
	"special": false
	},
	"154843": {
	"content": "<tool_call>",
	"single_word": false,
	"lstrip": false,
	"rstrip": false,
	"normalized": false,
	"special": false
	},
	"154844": {
	"content": "</tool_call>",
	"single_word": false,
	"lstrip": false,
	"rstrip": false,
	"normalized": false,
	"special": false
	},
	"154845": {
	"content": "<tool_response>",
	"single_word": false,
	"lstrip": false,
	"rstrip": false,
	"normalized": false,
	"special": false
	},
	"154846": {
	"content": "</tool_response>",
	"single_word": false,
	"lstrip": false,
	"rstrip": false,
	"normalized": false,
	"special": false
	},
	"154847": {
	"content": "<arg_key>",
	"single_word": false,
	"lstrip": false,
	"rstrip": false,
	"normalized": false,
	"special": false
	},
	"154848": {
	"content": "</arg_key>",
	"single_word": false,
	"lstrip": false,
	"rstrip": false,
	"normalized": false,
	"special": false
	},
	"154849": {
	"content": "<arg_value>",
	"single_word": false,
	"lstrip": false,
	"rstrip": false,
	"normalized": false,
	"special": false
	},
	"154850": {
	"content": "</arg_value>",
	"single_word": false,
	"lstrip": false,
	"rstrip": false,
	"normalized": false,
	"special": false
	},
	"154851": {
	"content": "/nothink",
	"single_word": false,
	"lstrip": false,
	"rstrip": false,
	"normalized": false,
	"special": false
	},
	"154852": {
	"content": "<\|begin_of_box\|>",
	"single_word": false,
	"lstrip": false,
	"rstrip": false,
	"normalized": false,
	"special": false
	},
	"154853": {
	"content": "<\|end_of_box\|>",
	"single_word": false,
	"lstrip": false,
	"rstrip": false,
	"normalized": false,
	"special": false
	},
	"154854": {
	"content": "<\|image\|>",
	"single_word": false,
	"lstrip": false,
	"rstrip": false,
	"normalized": false,
	"special": false
	},
	"154855": {
	"content": "<\|video\|>",
	"single_word": false,
	"lstrip": false,
	"rstrip": false,
	"normalized": false,
	"special": false
	}
	},
	"additional_special_tokens": [
	"<\|endoftext\|>",
	"[MASK]",
	"[gMASK]",
	"[sMASK]",
	"<sop>",
	"<eop>",
	"<\|system\|>",
	"<\|user\|>",
	"<\|assistant\|>",
	"<\|observation\|>",
	"<\|begin_of_image\|>",
	"<\|end_of_image\|>",
	"<\|begin_of_video\|>",
	"<\|end_of_video\|>",
	"<\|begin_of_audio\|>",
	"<\|end_of_audio\|>",
	"<\|begin_of_transcription\|>",
	"<\|end_of_transcription\|>"
	],
	"clean_up_tokenization_spaces": false,
	"do_lower_case": false,
	"eos_token": "<\|endoftext\|>",
	"extra_special_tokens": {},
	"model_max_length": 128000,
	"pad_token": "<\|endoftext\|>",
	"padding_side": "left",
	"remove_space": false,
	"tokenizer_class": "PreTrainedTokenizer"
	}