Instructions to use AlioLeuchtmann/ALIO-SQL-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use AlioLeuchtmann/ALIO-SQL-7B with Transformers:

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

pipe = pipeline("text-generation", model="AlioLeuchtmann/ALIO-SQL-7B")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("AlioLeuchtmann/ALIO-SQL-7B")
model = AutoModelForCausalLM.from_pretrained("AlioLeuchtmann/ALIO-SQL-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 AlioLeuchtmann/ALIO-SQL-7B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "AlioLeuchtmann/ALIO-SQL-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": "AlioLeuchtmann/ALIO-SQL-7B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/AlioLeuchtmann/ALIO-SQL-7B

SGLang

How to use AlioLeuchtmann/ALIO-SQL-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 "AlioLeuchtmann/ALIO-SQL-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": "AlioLeuchtmann/ALIO-SQL-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 "AlioLeuchtmann/ALIO-SQL-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": "AlioLeuchtmann/ALIO-SQL-7B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use AlioLeuchtmann/ALIO-SQL-7B with Docker Model Runner:
```
docker model run hf.co/AlioLeuchtmann/ALIO-SQL-7B
```

ALIO-SQL-7B

Commit History

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Commit History

Update README.md f6047fc verified

Update README.md e7219b7 verified

Update README.md c770f1e verified

Update README.md 279463b verified

Update README.md 9973311 verified

Update README.md 39e24d1 verified

Update README.md 1a77751 verified

Update README.md 67be8af verified

Upload tokenizer 817483d verified

Upload Qwen2ForCausalLM 5925e2a verified

initial commit 37aa5bf verified

Update README.md

f6047fc
verified

Update README.md

e7219b7
verified

Update README.md

c770f1e
verified

Update README.md

279463b
verified

Update README.md

9973311
verified

Update README.md

39e24d1
verified

Update README.md

1a77751
verified

Update README.md

67be8af
verified

Upload tokenizer

817483d
verified

Upload Qwen2ForCausalLM

5925e2a
verified

initial commit

37aa5bf
verified