Instructions to use cycloneboy/SLM-SQL-Base-1.3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use cycloneboy/SLM-SQL-Base-1.3B with Transformers:

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

pipe = pipeline("text-generation", model="cycloneboy/SLM-SQL-Base-1.3B")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("cycloneboy/SLM-SQL-Base-1.3B")
model = AutoModelForCausalLM.from_pretrained("cycloneboy/SLM-SQL-Base-1.3B")
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 cycloneboy/SLM-SQL-Base-1.3B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "cycloneboy/SLM-SQL-Base-1.3B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "cycloneboy/SLM-SQL-Base-1.3B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/cycloneboy/SLM-SQL-Base-1.3B

SGLang

How to use cycloneboy/SLM-SQL-Base-1.3B 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 "cycloneboy/SLM-SQL-Base-1.3B" \
    --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": "cycloneboy/SLM-SQL-Base-1.3B",
		"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 "cycloneboy/SLM-SQL-Base-1.3B" \
        --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": "cycloneboy/SLM-SQL-Base-1.3B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use cycloneboy/SLM-SQL-Base-1.3B with Docker Model Runner:
```
docker model run hf.co/cycloneboy/SLM-SQL-Base-1.3B
```

Improve model card with GitHub link and sample usage

by nielsr HF Staff - opened Jul 31, 2025

base: refs/heads/main

←

from: refs/pr/1

Discussion Files changed

+69

-20

nielsr

Jul 31, 2025

This PR enhances the model card by:

Adding a direct link to the GitHub repository in the "Important Links" section for easier access to the code.
Clarifying "HuggingFace" and "ModelScope" links as "Collections" in the "Important Links" section.
Refactoring the "Introduction" section by removing the blockquote formatting and eliminating the redundant sentence about the GitHub release, now that a dedicated link is available.
Including a practical Python code snippet in a new "Sample Usage" section, demonstrating how to perform Text-to-SQL generation using the transformers library, torch_dtype=torch.bfloat16, and the model's specific chat template.

Improve model card with GitHub link and sample usage9663c413

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

Tap or paste here to upload images

Ready to merge

This branch is ready to get merged automatically.

· Sign up or log in to comment