Instructions to use ReasoningTransferability/UniReason-Qwen3-14B-RL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use ReasoningTransferability/UniReason-Qwen3-14B-RL with Transformers:

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

pipe = pipeline("text-generation", model="ReasoningTransferability/UniReason-Qwen3-14B-RL")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("ReasoningTransferability/UniReason-Qwen3-14B-RL")
model = AutoModelForCausalLM.from_pretrained("ReasoningTransferability/UniReason-Qwen3-14B-RL")
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

vLLM

How to use ReasoningTransferability/UniReason-Qwen3-14B-RL with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "ReasoningTransferability/UniReason-Qwen3-14B-RL"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "ReasoningTransferability/UniReason-Qwen3-14B-RL",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/ReasoningTransferability/UniReason-Qwen3-14B-RL

SGLang

How to use ReasoningTransferability/UniReason-Qwen3-14B-RL 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 "ReasoningTransferability/UniReason-Qwen3-14B-RL" \
    --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": "ReasoningTransferability/UniReason-Qwen3-14B-RL",
		"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 "ReasoningTransferability/UniReason-Qwen3-14B-RL" \
        --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": "ReasoningTransferability/UniReason-Qwen3-14B-RL",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use ReasoningTransferability/UniReason-Qwen3-14B-RL with Docker Model Runner:
```
docker model run hf.co/ReasoningTransferability/UniReason-Qwen3-14B-RL
```

Add `library_name` metadata and GitHub link to model card

by nielsr HF Staff - opened Jul 6, 2025

base: refs/heads/main

←

from: refs/pr/1

Discussion Files changed

+10

-8

nielsr

Jul 6, 2025

This PR enhances the model card by:

Adding the library_name: transformers metadata tag, which enables the "how to use" widget on the Hugging Face Hub page.
Including a direct link to the official GitHub repository for the code, making it easier for users to find and interact with the implementation.

Add `library_name` metadata and GitHub link to model cardf4b694dd

Ibisbill changed pull request status to merged Jul 7, 2025

Ibisbill

Reasoning Transfer org Jul 7, 2025

Hi Niels, thanks for the advice. Already merged all the repos!

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