Instructions to use Worthify/Decision-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Worthify/Decision-1 with Transformers:

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

pipe = pipeline("text-generation", model="Worthify/Decision-1")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Worthify/Decision-1")
model = AutoModelForCausalLM.from_pretrained("Worthify/Decision-1", 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=256)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Worthify/Decision-1 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Worthify/Decision-1"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Worthify/Decision-1",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Worthify/Decision-1

SGLang

How to use Worthify/Decision-1 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 "Worthify/Decision-1" \
    --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": "Worthify/Decision-1",
		"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 "Worthify/Decision-1" \
        --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": "Worthify/Decision-1",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use Worthify/Decision-1 with Docker Model Runner:
```
docker model run hf.co/Worthify/Decision-1
```

Review V1 Worthify Decision-1 model card

by cameron-j-knight - opened 27 days ago

base: refs/heads/main

←

from: refs/pr/1

Discussion Files changed

+29307

-33

cameron-j-knight

Worthify AI org 27 days ago

Private review draft with bounded-choice examples, seed-42 held-out results, matched task-LoRA evidence, and serving limits. README only; preserve the verified model release on main.

Review V1 Worthify Decision-1 model card3e7de523

Add Decision-1 V2 review card, source-backed charts and three videos07b3beb8

Correct LoRA chart legend spacing48acdb76

Pin review card media and evidence links to verified commitdd0584dc

Link verified private BANKING77 adapter pair80251d2e

Pin runnable BANKING77 adapter previewsab3f34a1

cameron-j-knight changed pull request status to merged 27 days ago

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