Instructions to use DavidAU/ERNIE-21B-A3B-Claude-4.5-High-OPUS-Thinking with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use DavidAU/ERNIE-21B-A3B-Claude-4.5-High-OPUS-Thinking with Transformers:

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

pipe = pipeline("text-generation", model="DavidAU/ERNIE-21B-A3B-Claude-4.5-High-OPUS-Thinking")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("DavidAU/ERNIE-21B-A3B-Claude-4.5-High-OPUS-Thinking")
model = AutoModelForCausalLM.from_pretrained("DavidAU/ERNIE-21B-A3B-Claude-4.5-High-OPUS-Thinking", device_map="auto")
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.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=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use DavidAU/ERNIE-21B-A3B-Claude-4.5-High-OPUS-Thinking with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "DavidAU/ERNIE-21B-A3B-Claude-4.5-High-OPUS-Thinking"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "DavidAU/ERNIE-21B-A3B-Claude-4.5-High-OPUS-Thinking",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/DavidAU/ERNIE-21B-A3B-Claude-4.5-High-OPUS-Thinking

SGLang

How to use DavidAU/ERNIE-21B-A3B-Claude-4.5-High-OPUS-Thinking 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 "DavidAU/ERNIE-21B-A3B-Claude-4.5-High-OPUS-Thinking" \
    --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": "DavidAU/ERNIE-21B-A3B-Claude-4.5-High-OPUS-Thinking",
		"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 "DavidAU/ERNIE-21B-A3B-Claude-4.5-High-OPUS-Thinking" \
        --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": "DavidAU/ERNIE-21B-A3B-Claude-4.5-High-OPUS-Thinking",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Unsloth Desktop
Docker Model Runner
How to use DavidAU/ERNIE-21B-A3B-Claude-4.5-High-OPUS-Thinking with Docker Model Runner:
```
docker model run hf.co/DavidAU/ERNIE-21B-A3B-Claude-4.5-High-OPUS-Thinking
```

ERNIE-21B-A3B-Claude-4.5-High-OPUS-Thinking / tokenizer_config.json

DavidAU

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	{
	"add_bos_token": true,
	"add_eos_token": false,
	"add_prefix_space": null,
	"added_tokens_decoder": {
	"0": {
	"content": "<unk>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": true
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	},
	"100272": {
	"content": "<\|end_of_sentence\|>",
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	},
	"100281": {
	"content": "<think>",
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	},
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	},
	"100296": {
	"content": "</tool_output>",
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	},
	"100297": {
	"content": "<tool_call>",
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	},
	"100298": {
	"content": "</tool_call>",
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	},
	"100299": {
	"content": "<response>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": false
	},
	"100300": {
	"content": "</response>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": false
	},
	"100301": {
	"content": "<system_setting>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": false
	},
	"100302": {
	"content": "</system_setting>",
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	},
	"100303": {
	"content": "<global_setting>",
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	"rstrip": false,
	"single_word": false,
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	},
	"100304": {
	"content": "</global_setting>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": false
	},
	"100305": {
	"content": "<tool_list>",
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	},
	"100306": {
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	},
	"100307": {
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	"single_word": false,
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	},
	"100308": {
	"content": "<\|im_end\|>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": false
	}
	},
	"additional_special_tokens": [],
	"bos_token": "<s>",
	"clean_up_tokenization_spaces": false,
	"cls_token": "<\|begin_of_sentence\|>",
	"eos_token": "</s>",
	"extra_special_tokens": {},
	"header_end_token": "<mask:7>",
	"header_start_token": "<mask:6>",
	"legacy": true,
	"mask_token": "<mask:1>",
	"model_max_length": 131072,
	"pad_token": "<unk>",
	"padding_side": "left",
	"sep_token": "<\|end_of_sentence\|>",
	"sys_end_token": "<mask:5>",
	"sys_start_token": "<mask:4>",
	"tokenizer_class": "LlamaTokenizer",
	"unk_token": "<unk>",
	"use_default_system_prompt": false
	}