Instructions to use SeaLLMs/SeaLLMs-v3-7B-Chat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use SeaLLMs/SeaLLMs-v3-7B-Chat with Transformers:

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

pipe = pipeline("text-generation", model="SeaLLMs/SeaLLMs-v3-7B-Chat")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("SeaLLMs/SeaLLMs-v3-7B-Chat")
model = AutoModelForCausalLM.from_pretrained("SeaLLMs/SeaLLMs-v3-7B-Chat")
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]:]))

Inference
Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use SeaLLMs/SeaLLMs-v3-7B-Chat with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "SeaLLMs/SeaLLMs-v3-7B-Chat"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "SeaLLMs/SeaLLMs-v3-7B-Chat",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/SeaLLMs/SeaLLMs-v3-7B-Chat

SGLang

How to use SeaLLMs/SeaLLMs-v3-7B-Chat 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 "SeaLLMs/SeaLLMs-v3-7B-Chat" \
    --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": "SeaLLMs/SeaLLMs-v3-7B-Chat",
		"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 "SeaLLMs/SeaLLMs-v3-7B-Chat" \
        --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": "SeaLLMs/SeaLLMs-v3-7B-Chat",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use SeaLLMs/SeaLLMs-v3-7B-Chat with Docker Model Runner:
```
docker model run hf.co/SeaLLMs/SeaLLMs-v3-7B-Chat
```

Update README.md

by IAMJB - opened Jul 30, 2024

base: refs/heads/main

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from: refs/pr/2

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README.md CHANGED Viewed

@@ -256,12 +256,14 @@ We would like to express our special thanks to our professional and native lingu
 If you find our project useful, we hope you would kindly star our repo and cite our work as follows:
 ```
-@article{damonlp2024seallm3,
-  author = {Wenxuan Zhang*, Hou Pong Chan*, Yiran Zhao*, Mahani Aljunied*,
-            Jianyu Wang, Chaoqun Liu, Yue Deng, Zhiqiang Hu, Weiwen Xu,
-            Yew Ken Chia, Xin Li, Lidong Bing},
-  title = {SeaLLMs - Large Language Models for Southeast Asia},
-  year = {2024},
 }
 ```
 Corresponding Author: l.bing@alibaba-inc.com

 If you find our project useful, we hope you would kindly star our repo and cite our work as follows:
 ```
+@misc{zhang2024seallms3openfoundation,
+      title={SeaLLMs 3: Open Foundation and Chat Multilingual Large Language Models for Southeast Asian Languages},
+      author={Wenxuan Zhang and Hou Pong Chan and Yiran Zhao and Mahani Aljunied and Jianyu Wang and Chaoqun Liu and Yue Deng and Zhiqiang Hu and Weiwen Xu and Yew Ken Chia and Xin Li and Lidong Bing},
+      year={2024},
+      eprint={2407.19672},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL},
+      url={https://arxiv.org/abs/2407.19672},
 }
 ```
 Corresponding Author: l.bing@alibaba-inc.com