Text Generation
Transformers
Safetensors
PyTorch
Chinese
llama
facebook
meta
llama-3
ContaLLM
ContaAI
conversational
text-generation-inference
Instructions to use ContaAI/ContaLLM-Food-Beverage-8B-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ContaAI/ContaLLM-Food-Beverage-8B-Instruct with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="ContaAI/ContaLLM-Food-Beverage-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-Food-Beverage-8B-Instruct") model = AutoModelForCausalLM.from_pretrained("ContaAI/ContaLLM-Food-Beverage-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-Food-Beverage-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-Food-Beverage-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-Food-Beverage-8B-Instruct", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/ContaAI/ContaLLM-Food-Beverage-8B-Instruct
- SGLang
How to use ContaAI/ContaLLM-Food-Beverage-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-Food-Beverage-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-Food-Beverage-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-Food-Beverage-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-Food-Beverage-8B-Instruct", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use ContaAI/ContaLLM-Food-Beverage-8B-Instruct with Docker Model Runner:
docker model run hf.co/ContaAI/ContaLLM-Food-Beverage-8B-Instruct
Upload README.md
Browse files
README.md
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@@ -34,9 +34,9 @@ ContaLLM-Food-Beverage-8B-Instruct is a large Chinese vertical marketing model f
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| **Industry** | **Version** | **Llama 3.1 8B**
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## Using the model
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### System Prompt
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```
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system_prompt = '请根据用户提供的营销需求、选品及其他信息写一篇食品饮料行业的营销推文。'
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```
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| **营销需求** | required | Fill in your marketing requirements, cannot be blank |
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| **选品** | required | Fill in your product selection, cannot be blank |
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| **选品知识库** | required | Fill in the relevant information/materials about your product, cannot be blank
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| **关键词** | optional | Fill in your marketing keywords, or remove this row from the prompt |
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| **标签** | optional | Fill in the hashtag, or remove this row from the prompt |
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| **主推卖点** | optional | Fill in the main recommended selling points, or remove this row from the prompt |
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| **Industry** | **Version** | **Llama 3.1 8B**
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|--------------|-------------|------------------------------------------------------------------------------------------------------------|
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| **Food And Beverage** | **bf16** | [ContaAI/ContaLLM-Food-Beverage-8B-Instruct](https://huggingface.co/ContaAI/ContaLLM-Food-Beverage-8B-Instruct) |
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| **Food And Beverage** | **8bit** | [ContaAI/ContaLLM-Food-Beverage-8B-Instruct-8bit](https://huggingface.co/ContaAI/ContaLLM-Food-Beverage-8B-Instruct-8bit) |
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| **Food And Beverage** | **4bit** | [ContaAI/ContaLLM-Food-Beverage-8B-Instruct-4bit](https://huggingface.co/ContaAI/ContaLLM-Food-Beverage-8B-Instruct-4bit) |
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## Using the model
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### System Prompt
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This model is a Chinese marketing model for food and beverage industry, so we use this system prompt by default:
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```
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system_prompt = '请根据用户提供的营销需求、选品及其他信息写一篇食品饮料行业的营销推文。'
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```
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|-------------------|-----------------------|------------------------------------------------------------------------------------------------------|
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| **营销需求** | required | Fill in your marketing requirements, cannot be blank |
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| **选品** | required | Fill in your product selection, cannot be blank |
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| **选品知识库** | required | Fill in the relevant information/materials about your product, cannot be blank |
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| **关键词** | optional | Fill in your marketing keywords, or remove this row from the prompt |
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| **标签** | optional | Fill in the hashtag, or remove this row from the prompt |
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| **主推卖点** | optional | Fill in the main recommended selling points, or remove this row from the prompt |
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