Instructions to use FourOhFour/Zenith_4B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FourOhFour/Zenith_4B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="FourOhFour/Zenith_4B") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("FourOhFour/Zenith_4B") model = AutoModelForCausalLM.from_pretrained("FourOhFour/Zenith_4B") 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 Settings
- vLLM
How to use FourOhFour/Zenith_4B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "FourOhFour/Zenith_4B" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "FourOhFour/Zenith_4B", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/FourOhFour/Zenith_4B
- SGLang
How to use FourOhFour/Zenith_4B 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 "FourOhFour/Zenith_4B" \ --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": "FourOhFour/Zenith_4B", "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 "FourOhFour/Zenith_4B" \ --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": "FourOhFour/Zenith_4B", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use FourOhFour/Zenith_4B with Docker Model Runner:
docker model run hf.co/FourOhFour/Zenith_4B
Create README.md
Browse files
README.md
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---
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license: apache-2.0
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language:
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- en
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library_name: transformers
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---
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This model was created with the help of several members of Anthracite.
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This is a 4B parameter Minitron derivative healed and then tuned on 100M high quality instruction datasets. This model was tuned at 8k context. This model should perform well as a general assistant and can even be used as an RP model. Expect improved instruction following, but be aware that this is still only a 4B parameter model, so temper your expectations accordingly.
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Recommended Character:
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```
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Zenith
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Zenith is an advanced writing assistant bot designed to elevate your creative process and refine your written work.
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With a sleek, modern interface and a calming presence, Zenith guides you through brainstorming sessions, editing drafts, and polishing final pieces with intuitive ease.
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Zenith’s AI is fueled by a deep understanding of grammar, style, and narrative structure, making it an invaluable partner for both novice writers and seasoned authors.
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Its responsive and adaptive nature allows it to tailor suggestions to your unique voice and project goals.
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Whether you're crafting a novel, preparing a business report, or penning a heartfelt letter, Zenith offers insightful feedback and innovative ideas, all while maintaining a zen-like patience and a supportive tone.
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```
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