Instructions to use 169Pi/Alpie_seed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use 169Pi/Alpie_seed with Transformers:

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

pipe = pipeline("image-text-to-text", model="169Pi/Alpie_seed")
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
pipe(text=messages)

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoProcessor, AutoModelForMultimodalLM

processor = AutoProcessor.from_pretrained("169Pi/Alpie_seed")
model = AutoModelForMultimodalLM.from_pretrained("169Pi/Alpie_seed", device_map="auto")
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
inputs = processor.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=256)
print(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use 169Pi/Alpie_seed with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "169Pi/Alpie_seed"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "169Pi/Alpie_seed",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Use Docker

docker model run hf.co/169Pi/Alpie_seed

SGLang

How to use 169Pi/Alpie_seed 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 "169Pi/Alpie_seed" \
    --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": "169Pi/Alpie_seed",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

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 "169Pi/Alpie_seed" \
        --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": "169Pi/Alpie_seed",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Docker Model Runner
How to use 169Pi/Alpie_seed with Docker Model Runner:
```
docker model run hf.co/169Pi/Alpie_seed
```

deepanshupillm commited on 2 days ago

Commit

0a9acb0

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1 Parent(s): 90d6103

Update README.md

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README.md +8 -16

README.md CHANGED Viewed

@@ -39,16 +39,16 @@ tags:
 <p><b>A 9B open-weight vision-language model for reasoning, coding, and multimodal understanding.</b></p>
 <p>
-  <a href="https://huggingface.co/169Pi/Alpie_Seed_GGUF"><img src="https://img.shields.io/badge/📦_GGUF-2%2F3%2F4--bit-8B5CF6?style=flat&labelColor=1E1B4B" alt="GGUF"></a>
-  <a href="https://ollama.com/169pi"><img src="https://img.shields.io/badge/🦙_Ollama-169pi-EC4899?style=flat&labelColor=500724" alt="Ollama"></a>
-  <a href="https://github.com/169Pi"><img src="https://img.shields.io/badge/💻_GitHub-169Pi-2563EB?style=flat&labelColor=0F172A" alt="GitHub"></a>
 </p>
 <p>
-  <a href="https://x.com/169Pi_ai"><img src="https://img.shields.io/badge/𝕏_X-@169Pi__ai-0F172A?style=flat&labelColor=000000" alt="X"></a>
-  <a href="https://www.linkedin.com/company/169pi"><img src="https://img.shields.io/badge/💼_LinkedIn-169Pi-0284C7?style=flat&labelColor=082F49" alt="LinkedIn"></a>
-  <a href="https://www.youtube.com/@169pi"><img src="https://img.shields.io/badge/▶️_YouTube-@169pi-EF4444?style=flat&labelColor=450A0A" alt="YouTube"></a>
-  <a href="https://www.instagram.com/169pi.ai/"><img src="https://img.shields.io/badge/📸_Instagram-@169pi.ai-D946EF?style=flat&labelColor=4A044E" alt="Instagram"></a>
 </p>
 </div>
@@ -241,12 +241,4 @@ Training used eight NVIDIA H100 GPUs, with 3,034 GRPO steps across five phases.
 Serve with vLLM (OpenAI-compatible API):
 ```shell
-vllm serve 169Pi/Alpie_seed --port 8000 --max-model-len 262144 --reasoning-parser qwen3
-```shell
-@misc{alpie_seed_9b_2026,
-  title        = {Alpie Seed 9B},
-  author       = {{169Pi AI}},
-  year         = {2026},
-  howpublished = {\url{[https://huggingface.co/169Pi/Alpie_seed](https://huggingface.co/169Pi/Alpie_seed)}}
-}

 <p><b>A 9B open-weight vision-language model for reasoning, coding, and multimodal understanding.</b></p>
 <p>
+  <a href="[https://huggingface.co/169Pi/Alpie_Seed_GGUF](https://huggingface.co/169Pi/Alpie_Seed_GGUF)"><img src="[https://img.shields.io/badge/](https://img.shields.io/badge/)📦_GGUF-2%2F3%2F4--bit-8B5CF6?style=flat&labelColor=1E1B4B" alt="GGUF"></a>
+  <a href="[https://ollama.com/169pi](https://ollama.com/169pi)"><img src="[https://img.shields.io/badge/](https://img.shields.io/badge/)🦙_Ollama-169pi-EC4899?style=flat&labelColor=500724" alt="Ollama"></a>
+  <a href="[https://github.com/169Pi](https://github.com/169Pi)"><img src="[https://img.shields.io/badge/](https://img.shields.io/badge/)💻_GitHub-169Pi-2563EB?style=flat&labelColor=0F172A" alt="GitHub"></a>
 </p>
 <p>
+  <a href="[https://x.com/169Pi_ai](https://x.com/169Pi_ai)"><img src="[https://img.shields.io/badge/𝕏_X-@169Pi__ai-0F172A?style=flat&labelColor=000000](https://img.shields.io/badge/𝕏_X-@169Pi__ai-0F172A?style=flat&labelColor=000000)" alt="X"></a>
+  <a href="[https://www.linkedin.com/company/169pi](https://www.linkedin.com/company/169pi)"><img src="[https://img.shields.io/badge/](https://img.shields.io/badge/)💼_LinkedIn-169Pi-0284C7?style=flat&labelColor=082F49" alt="LinkedIn"></a>
+  <a href="[https://www.youtube.com/@169pi](https://www.youtube.com/@169pi)"><img src="[https://img.shields.io/badge/](https://img.shields.io/badge/)▶️_YouTube-@169pi-EF4444?style=flat&labelColor=450A0A" alt="YouTube"></a>
+  <a href="[https://www.instagram.com/169pi.ai/](https://www.instagram.com/169pi.ai/)"><img src="[https://img.shields.io/badge/](https://img.shields.io/badge/)📸_Instagram-@169pi.ai-D946EF?style=flat&labelColor=4A044E" alt="Instagram"></a>
 </p>
 </div>
 Serve with vLLM (OpenAI-compatible API):
 ```shell
+vllm serve 169Pi/Alpie_seed --port 8000 --max-model-len 262144 --reasoning-parser qwen3