Instructions to use webbrain-one/webbrain-compass-tiny-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use webbrain-one/webbrain-compass-tiny-v2 with Transformers:

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

pipe = pipeline("text-generation", model="webbrain-one/webbrain-compass-tiny-v2")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("webbrain-one/webbrain-compass-tiny-v2")
model = AutoModelForCausalLM.from_pretrained("webbrain-one/webbrain-compass-tiny-v2", 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=256)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use webbrain-one/webbrain-compass-tiny-v2 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "webbrain-one/webbrain-compass-tiny-v2"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "webbrain-one/webbrain-compass-tiny-v2",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/webbrain-one/webbrain-compass-tiny-v2

SGLang

How to use webbrain-one/webbrain-compass-tiny-v2 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 "webbrain-one/webbrain-compass-tiny-v2" \
    --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": "webbrain-one/webbrain-compass-tiny-v2",
		"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 "webbrain-one/webbrain-compass-tiny-v2" \
        --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": "webbrain-one/webbrain-compass-tiny-v2",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use webbrain-one/webbrain-compass-tiny-v2 with Docker Model Runner:
```
docker model run hf.co/webbrain-one/webbrain-compass-tiny-v2
```

webbrain-one commited on Sep 11

Commit

54bcab6

verified ·

1 Parent(s): d7df2eb

Correct release name to WebBrain Compass Tiny v2

Browse files

Files changed (1) hide show

README.md +6 -2

README.md CHANGED Viewed

@@ -1,7 +1,7 @@
 ---
 license: other
 license_name: webbrain-noncommercial-research-restrictions
-license_link: https://huggingface.co/webbrain-one/webbrain-compass-v2/blob/main/ATTRIBUTIONS.md
 library_name: transformers
 base_model: openbmb/MiniCPM5-2B
 tags:
@@ -11,7 +11,11 @@ tags:
 - lora-merged
 - bf16
 ---
-# WebBrain Compass v2 — experimental private BF16
 Full merged model weights, **not an adapter**. This experimental release was
 explicitly authorized after disclosure of a failed behavioral gate. It is NOT

 ---
 license: other
 license_name: webbrain-noncommercial-research-restrictions
+license_link: https://huggingface.co/webbrain-one/webbrain-compass-tiny-v2/blob/main/ATTRIBUTIONS.md
 library_name: transformers
 base_model: openbmb/MiniCPM5-2B
 tags:
 - lora-merged
 - bf16
 ---
+# WebBrain Compass Tiny v2 — experimental private BF16
+Release naming correction: formerly `webbrain-compass-v2`. Model weights,
+tokenizer, configuration and benchmark results are unchanged. Historical
+run IDs and provenance retain their original names for reproducibility.
 Full merged model weights, **not an adapter**. This experimental release was
 explicitly authorized after disclosure of a failed behavioral gate. It is NOT