Instructions to use sail/Sailor2-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use sail/Sailor2-8B with Transformers:

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

pipe = pipeline("text-generation", model="sail/Sailor2-8B")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("sail/Sailor2-8B")
model = AutoModelForCausalLM.from_pretrained("sail/Sailor2-8B")
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 sail/Sailor2-8B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "sail/Sailor2-8B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "sail/Sailor2-8B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/sail/Sailor2-8B

SGLang

How to use sail/Sailor2-8B 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 "sail/Sailor2-8B" \
    --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": "sail/Sailor2-8B",
		"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 "sail/Sailor2-8B" \
        --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": "sail/Sailor2-8B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use sail/Sailor2-8B with Docker Model Runner:
```
docker model run hf.co/sail/Sailor2-8B
```

Add pipeline tag and library name

by nielsr HF Staff - opened Feb 19, 2025

base: refs/heads/main

←

from: refs/pr/2

Discussion Files changed

-4

Files changed (1) hide show

README.md +8 -4

README.md CHANGED Viewed

@@ -1,4 +1,6 @@
 ---
 language:
 - en
 - zh
@@ -12,6 +14,7 @@ language:
 - km
 - su
 - tl
 tags:
 - multilingual
 - sea
@@ -29,11 +32,11 @@ widget:
   example_title: Indonesian
 - text: Làm thế nào để nướng cá?
   example_title: Vietnamese
-license: apache-2.0
-base_model:
-- Qwen/Qwen2.5-7B
 ---
 <div align="center">
   <img src="sailor2_banner.jpg" width="700"/>
 </div>
@@ -145,4 +148,5 @@ If you find Sailor2 useful, please cite our work as follows:
 # Contact Us
-If you have any questions, please raise an issue or contact us at [doulx@sea.com](mailto:doulx@sea.com) or [liuqian.sea@gmail.com](mailto:liuqian.sea@gmail.com).

 ---
+base_model:
+- Qwen/Qwen2.5-7B
 language:
 - en
 - zh
 - km
 - su
 - tl
+license: apache-2.0
 tags:
 - multilingual
 - sea
   example_title: Indonesian
 - text: Làm thế nào để nướng cá?
   example_title: Vietnamese
+library_name: transformers
+pipeline_tag: text-generation
 ---
+```markdown
 <div align="center">
   <img src="sailor2_banner.jpg" width="700"/>
 </div>
 # Contact Us
+If you have any questions, please raise an issue or contact us at [doulx@sea.com](mailto:doulx@sea.com) or [liuqian.sea@gmail.com](mailto:liuqian.sea@gmail.com).
+```