Instructions to use ContaAI/ContaLLM-Beauty-8B-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use ContaAI/ContaLLM-Beauty-8B-Instruct with Transformers:

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

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

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("ContaAI/ContaLLM-Beauty-8B-Instruct")
model = AutoModelForCausalLM.from_pretrained("ContaAI/ContaLLM-Beauty-8B-Instruct")
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 ContaAI/ContaLLM-Beauty-8B-Instruct with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/ContaAI/ContaLLM-Beauty-8B-Instruct

SGLang

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

Docker Model Runner
How to use ContaAI/ContaLLM-Beauty-8B-Instruct with Docker Model Runner:
```
docker model run hf.co/ContaAI/ContaLLM-Beauty-8B-Instruct
```

Tonya77 commited on Dec 19, 2024

Commit

eef4f47

verified ·

1 Parent(s): 4f3e5cc

Update README.md

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@@ -73,7 +73,14 @@ Users can enter the required marketing needs according to their own needs, non-r
 Example:
 ```
-user_prompt = '营销需求：美白水乳推荐，推广HBN原白水乳。\n关键词：HBN原白水乳\n话题： 分享护肤 提亮肤色\n标签：爱情、浪漫\n话题： 分享护肤 提亮肤色\n人设：美白水乳推荐，推广HBN原白水乳。\n相关素材：美白水乳推荐，推广HBN原白水乳。\n内容长度：较长\n'
 ```
 ### Use example (with template)
@@ -86,7 +93,14 @@ tokenizer = AutoTokenizer.from_pretrained(model_name)
 system_prompt = '请根据用户提供的营销需求和其他信息写一篇美妆护肤行业的营销推文。'
-user_prompt = '营销需求：美白水乳推荐，推广HBN原白水乳。\n关键词：HBN原白水乳\n话题： 分享护肤 提亮肤色\n标签：爱情、浪漫\n话题： 分享护肤 提亮肤色\n人设：美白水乳推荐，推广HBN原白水乳。\n相关素材：美白水乳推荐，推广HBN原白水乳。\n内容长度：较长\n'
 prompt_template = '''<|begin_of_text|><|start_header_id|>system<|end_header_id|>
 {}<|eot_id|><|start_header_id|>user<|end_header_id|>

 Example:
 ```
+user_prompt = """营销需求：美白水乳推荐，推广HBN原白水乳。
+关键词：HBN原白水乳
+话题： 分享护肤 提亮肤色
+标签：爱情、浪漫
+话题： 分享护肤 提亮肤色
+人设：美白水乳推荐，推广HBN原白水乳。
+相关素材：美白水乳推荐，推广HBN原白水乳。
+内容长度：较长"""
 ```
 ### Use example (with template)
 system_prompt = '请根据用户提供的营销需求和其他信息写一篇美妆护肤行业的营销推文。'
+user_prompt = """营销需求：美白水乳推荐，推广HBN原白水乳。
+关键词：HBN原白水乳
+话题： 分享护肤 提亮肤色
+标签：爱情、浪漫
+话题： 分享护肤 提亮肤色
+人设：美白水乳推荐，推广HBN原白水乳。
+相关素材：美白水乳推荐，推广HBN原白水乳。
+内容长度：较长"""
 prompt_template = '''<|begin_of_text|><|start_header_id|>system<|end_header_id|>
 {}<|eot_id|><|start_header_id|>user<|end_header_id|>