Instructions to use RealSafe/RealSafe-R1-14B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RealSafe/RealSafe-R1-14B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="RealSafe/RealSafe-R1-14B") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("RealSafe/RealSafe-R1-14B") model = AutoModelForCausalLM.from_pretrained("RealSafe/RealSafe-R1-14B", 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 RealSafe/RealSafe-R1-14B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "RealSafe/RealSafe-R1-14B" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "RealSafe/RealSafe-R1-14B", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/RealSafe/RealSafe-R1-14B
- SGLang
How to use RealSafe/RealSafe-R1-14B 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 "RealSafe/RealSafe-R1-14B" \ --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": "RealSafe/RealSafe-R1-14B", "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 "RealSafe/RealSafe-R1-14B" \ --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": "RealSafe/RealSafe-R1-14B", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use RealSafe/RealSafe-R1-14B with Docker Model Runner:
docker model run hf.co/RealSafe/RealSafe-R1-14B
base_model: deepseek-ai/DeepSeek-R1-Distill-Qwen-14B
library_name: transformers
license: mit
tags:
- safe
languages:
- en
- zh
pipeline_tag: text-generation
RealSafe-R1-14B
The model card and source code can be found at https://huggingface.co/papers/2504.10081.
File information
The repository contains the following file information:
Filename: tokenizer.json Content: "Content of the file is larger than 50 KB, too long to display."
Filename: all_results.json Content: { "epoch": 0.9934065934065934, "total_flos": 42342023168000.0, "train_loss": 0.8060129891454646, "train_runtime": 2449.51, "train_samples_per_second": 5.943, "train_steps_per_second": 0.046 }
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