Instructions to use poolside/Laguna-XS-2.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use poolside/Laguna-XS-2.1 with Transformers:

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

pipe = pipeline("text-generation", model="poolside/Laguna-XS-2.1", trust_remote_code=True)
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("poolside/Laguna-XS-2.1", trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained("poolside/Laguna-XS-2.1", trust_remote_code=True, device_map="auto")
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 poolside/Laguna-XS-2.1 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "poolside/Laguna-XS-2.1"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "poolside/Laguna-XS-2.1",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/poolside/Laguna-XS-2.1

SGLang

How to use poolside/Laguna-XS-2.1 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 "poolside/Laguna-XS-2.1" \
    --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": "poolside/Laguna-XS-2.1",
		"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 "poolside/Laguna-XS-2.1" \
        --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": "poolside/Laguna-XS-2.1",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use poolside/Laguna-XS-2.1 with Docker Model Runner:
```
docker model run hf.co/poolside/Laguna-XS-2.1
```

joerowell commited on Jul 20

Commit

c405648

verified ·

1 Parent(s): a81d6da

Restore macOS/Ollama note with fix pointer (llama.cpp#25389)

Browse files

Files changed (1) hide show

README.md +3 -0

README.md CHANGED Viewed

@@ -296,6 +296,9 @@ Available on the [Ollama library](https://ollama.com/library/laguna-xs-2.1).
 Reasoning and tool-calling work out of the box via the built-in `laguna` template.
 #### Atomic Chat
 Laguna XS 2.1 is also available in [Atomic Chat](https://atomic.chat/), a desktop app for running local models with a simple chat UI. To try it, download Atomic Chat, open the app, and choose Laguna XS 2.1 from the recommended models.

 Reasoning and tool-calling work out of the box via the built-in `laguna` template.
+> [!NOTE]
+> **macOS (Metal) users:** `ollama run` may currently return empty output on Apple Silicon (a Metal f16 overflow in the MoE down-projection; fix pending in [ggml-org/llama.cpp#25389](https://github.com/ggml-org/llama.cpp/pull/25389)). Until it ships, use a Linux/CUDA host or the `/api/generate` endpoint with `"raw": true`.
 #### Atomic Chat
 Laguna XS 2.1 is also available in [Atomic Chat](https://atomic.chat/), a desktop app for running local models with a simple chat UI. To try it, download Atomic Chat, open the app, and choose Laguna XS 2.1 from the recommended models.