Instructions to use poolside/Laguna-XS.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use poolside/Laguna-XS.2 with Transformers:

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

pipe = pipeline("text-generation", model="poolside/Laguna-XS.2", 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", trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained("poolside/Laguna-XS.2", trust_remote_code=True)
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 poolside/Laguna-XS.2 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"
# 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",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/poolside/Laguna-XS.2

SGLang

How to use poolside/Laguna-XS.2 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" \
    --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",
		"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" \
        --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",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use poolside/Laguna-XS.2 with Docker Model Runner:
```
docker model run hf.co/poolside/Laguna-XS.2
```

Laguna-XS.2

Commit History

Add DFlash speculative decoding section

e5916e1

joerowell commited on 4 days ago

Update README.md

7ffaee5
verified

joerowell commited on 5 days ago

Fix typo

d38ff3c
verified

Pengming commited on 9 days ago

Fix typo

f07da4d
verified

Pengming commited on 9 days ago

Enable thinking by default in recommended vllm serve command

be45e1e
verified

joerowell commited on 12 days ago

Update vLLM serve command and link to vLLM recipes page

30ca10b
verified

joerowell commited on 12 days ago

Drop install-from-source note for Transformers

de04ba5
verified

joerowell commited on 12 days ago

Update vLLM install instructions to use nightly wheel

598f732
verified

joerowell commited on 12 days ago

Add community evaluation results for SWE-BENCH_PRO, SWE-BENCH_VERIFIED, TERMINAL-BENCH-2.0 (#5)

06367f7

joerowell

nielsr HF Staff commited on 13 days ago

Laguna XS.2 upload

7b8e693

joerowell commited on 13 days ago

Commit History

Add DFlash speculative decoding section e5916e1

Update README.md 7ffaee5 verified

Fix typo d38ff3c verified

Fix typo f07da4d verified

Enable thinking by default in recommended vllm serve command be45e1e verified

Update vLLM serve command and link to vLLM recipes page 30ca10b verified

Drop install-from-source note for Transformers de04ba5 verified

Update vLLM install instructions to use nightly wheel 598f732 verified

Add community evaluation results for SWE-BENCH_PRO, SWE-BENCH_VERIFIED, TERMINAL-BENCH-2.0 (#5) 06367f7

Laguna XS.2 upload 7b8e693

Add DFlash speculative decoding section

e5916e1

Update README.md

7ffaee5
verified

Fix typo

d38ff3c
verified

Fix typo

f07da4d
verified

Enable thinking by default in recommended vllm serve command

be45e1e
verified

Update vLLM serve command and link to vLLM recipes page

30ca10b
verified

Drop install-from-source note for Transformers

de04ba5
verified

Update vLLM install instructions to use nightly wheel

598f732
verified

Add community evaluation results for SWE-BENCH_PRO, SWE-BENCH_VERIFIED, TERMINAL-BENCH-2.0 (#5)

06367f7

Laguna XS.2 upload

7b8e693