Instructions to use Veri-Code/ReForm-SFT-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Veri-Code/ReForm-SFT-7B with Transformers:

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

pipe = pipeline("text-generation", model="Veri-Code/ReForm-SFT-7B")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Veri-Code/ReForm-SFT-7B")
model = AutoModelForCausalLM.from_pretrained("Veri-Code/ReForm-SFT-7B")
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 Veri-Code/ReForm-SFT-7B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Veri-Code/ReForm-SFT-7B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Veri-Code/ReForm-SFT-7B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Veri-Code/ReForm-SFT-7B

SGLang

How to use Veri-Code/ReForm-SFT-7B 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 "Veri-Code/ReForm-SFT-7B" \
    --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": "Veri-Code/ReForm-SFT-7B",
		"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 "Veri-Code/ReForm-SFT-7B" \
        --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": "Veri-Code/ReForm-SFT-7B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use Veri-Code/ReForm-SFT-7B with Docker Model Runner:
```
docker model run hf.co/Veri-Code/ReForm-SFT-7B
```

Add comprehensive model card for Re:Form

by nielsr HF Staff - opened Jul 25, 2025

base: refs/heads/main

←

from: refs/pr/1

Discussion Files changed

+82

-3

nielsr

Jul 25, 2025

This PR significantly improves the model card for the Re:Form model family by:

Adding pipeline_tag: text-generation to ensure the model is correctly categorized on the Hub.
Adding library_name: transformers to enable the "Use in Transformers" widget and provide library compatibility information.
Including a detailed description based on the paper's abstract.
Linking to the official paper, project page, and GitHub repository.
Providing a practical Python usage example for generating Dafny code using the transformers library.
Adding the official BibTeX citation for proper attribution.

These changes will greatly enhance the discoverability, usability, and understanding of the model for researchers and practitioners.

Add comprehensive model card for Re:Form7d7640da

SiniShell1 changed pull request status to merged Jul 25, 2025

Upload images, audio, and videos by dragging in the text input, pasting, or clicking here.

Tap or paste here to upload images

· Sign up or log in to comment