Instructions to use Sweaterdog/Andy-4-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Sweaterdog/Andy-4-tiny with Transformers:

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

pipe = pipeline("text-generation", model="Sweaterdog/Andy-4-tiny")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Sweaterdog/Andy-4-tiny")
model = AutoModelForCausalLM.from_pretrained("Sweaterdog/Andy-4-tiny")
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 Sweaterdog/Andy-4-tiny with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Sweaterdog/Andy-4-tiny"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Sweaterdog/Andy-4-tiny",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Sweaterdog/Andy-4-tiny

SGLang

How to use Sweaterdog/Andy-4-tiny 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 "Sweaterdog/Andy-4-tiny" \
    --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": "Sweaterdog/Andy-4-tiny",
		"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 "Sweaterdog/Andy-4-tiny" \
        --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": "Sweaterdog/Andy-4-tiny",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use Sweaterdog/Andy-4-tiny with Docker Model Runner:
```
docker model run hf.co/Sweaterdog/Andy-4-tiny
```

Sweaterdog commited on May 21, 2025

Commit

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+Andy 1.0 License
+Copyright 2025 SWEATERDOG
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this Work (the “Work”), to deal in the Work without restriction, including
+without limitation the rights to use, copy, modify, merge, publish, distribute,
+sublicense, and/or sell copies of the Work, and to permit persons to whom the
+Work is furnished to do so, subject to the following conditions:
+1. Model Naming or Credit Link
+   The redistributed or derivative model’s name must include the term “Andy”,
+   OR the repository must credit https://huggingface.co/Sweaterdog in the
+   README or LICENSE file.
+2. Shout-Out Clause
+   The following acknowledgment must appear in the README or equivalent:
+   “This work uses data and models created by @Sweaterdog.”
+3. Retention of License and Notices
+   The above copyright notice, this license text, and the Shout-Out Clause
+   must be included in all copies or substantial portions of the Work.
+4. No Additional Restrictions
+   You may not apply legal terms or technological measures that restrict
+   the exercise of the rights granted herein.
+THE WORK IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND,
+EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES
+OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND
+NONINFRINGEMENT. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR
+CONTRIBUTORS BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY,
+WHETHER IN AN ACTION OF CONTRACT, TORT, OR OTHERWISE, ARISING FROM,
+OUT OF, OR IN CONNECTION WITH THE WORK OR THE USE OR OTHER DEALINGS
+IN THE WORK.