Instructions to use FINAL-Bench/Darwin-397B-ZTC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use FINAL-Bench/Darwin-397B-ZTC with Transformers:

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

pipe = pipeline("text-generation", model="FINAL-Bench/Darwin-397B-ZTC")
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("FINAL-Bench/Darwin-397B-ZTC")
model = AutoModelForMultimodalLM.from_pretrained("FINAL-Bench/Darwin-397B-ZTC", 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 FINAL-Bench/Darwin-397B-ZTC with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "FINAL-Bench/Darwin-397B-ZTC"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "FINAL-Bench/Darwin-397B-ZTC",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/FINAL-Bench/Darwin-397B-ZTC

SGLang

How to use FINAL-Bench/Darwin-397B-ZTC 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 "FINAL-Bench/Darwin-397B-ZTC" \
    --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": "FINAL-Bench/Darwin-397B-ZTC",
		"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 "FINAL-Bench/Darwin-397B-ZTC" \
        --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": "FINAL-Bench/Darwin-397B-ZTC",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use FINAL-Bench/Darwin-397B-ZTC with Docker Model Runner:
```
docker model run hf.co/FINAL-Bench/Darwin-397B-ZTC
```

SeaWolf-AI commited on Sep 20

Commit

8e19303

verified ·

1 Parent(s): 868fd5b

docs: cross-link ZTC ecosystem badges

Browse files

Files changed (1) hide show

README.md +1 -1

README.md CHANGED Viewed

@@ -76,7 +76,7 @@ model-index:
 <!-- ZTC-ECOSYSTEM:START -->
 ### ZTC ecosystem
-![Darwin--397B--ZTC](https://img.shields.io/badge/Model-Darwin--397B--ZTC-c9ccd1?style=flat-square&label=you%20are%20here&labelColor=444) [![ZTC--Judge--27B](https://img.shields.io/badge/Model-ZTC--Judge--27B-7d5a96?style=flat-square)](https://huggingface.co/FINAL-Bench/ZTC-Judge-27B) [![Gate%20Arcade](https://img.shields.io/badge/Demo-Gate%20Arcade-9a7b1f?style=flat-square)](https://huggingface.co/spaces/FINAL-Bench/gate-tetris) [![Typed%20Decision%20Leaderboard](https://img.shields.io/badge/Leaderboard-Typed%20Decision%20Leaderboard-3f6f8f?style=flat-square)](https://huggingface.co/spaces/mayafree/typed-decision-leaderboard) [![vidraft.net](https://img.shields.io/badge/Home-vidraft.net-161d24?style=flat-square)](https://vidraft.net)
 **Zero-Token Confidence (ZTC)** reads a model's own internal state to judge whether an answer is right — **generating zero tokens**. `Darwin-397B-ZTC` ships a self-readout probe; `ZTC-Judge-27B` judges other models' answers; the arcade shows the gate deciding *execute or hold* in real time.
 <!-- ZTC-ECOSYSTEM:END -->

 <!-- ZTC-ECOSYSTEM:START -->
 ### ZTC ecosystem
+![Darwin--397B--ZTC](https://img.shields.io/badge/Model-Darwin--397B--ZTC-c9ccd1?style=flat-square&label=you%20are%20here&labelColor=444) [![ZTC--Judge--27B](https://img.shields.io/badge/Model-ZTC--Judge--27B-7d5a96?style=flat-square)](https://huggingface.co/FINAL-Bench/ZTC-Judge-27B) [![Gate%20Arcade](https://img.shields.io/badge/Demo-Gate%20Arcade-9a7b1f?style=flat-square)](https://huggingface.co/spaces/FINAL-Bench/gate-tetris) [![Typed%20Decision%20Leaderboard](https://img.shields.io/badge/Leaderboard-Typed%20Decision%20Leaderboard-3f6f8f?style=flat-square)](https://huggingface.co/spaces/mayafree/typed-decision-leaderboard) [![Verifier%20Playground](https://img.shields.io/badge/Playground-Verifier%20Playground-5a6672?style=flat-square)](https://huggingface.co/spaces/mayafree/verifier-playground) [![vidraft.net](https://img.shields.io/badge/Home-vidraft.net-161d24?style=flat-square)](https://vidraft.net)
 **Zero-Token Confidence (ZTC)** reads a model's own internal state to judge whether an answer is right — **generating zero tokens**. `Darwin-397B-ZTC` ships a self-readout probe; `ZTC-Judge-27B` judges other models' answers; the arcade shows the gate deciding *execute or hold* in real time.
 <!-- ZTC-ECOSYSTEM:END -->