Text Generation
Transformers
Safetensors
English
gemma4
image-text-to-text
gemma-4-31b
cipher
kin
creative-coding
web-design
html
css
javascript
three.js
gsap
unsloth
qlora
lora
sft
single-file-html
conversational
Instructions to use Auroraventures/cipher-sft-merged with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Auroraventures/cipher-sft-merged with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Auroraventures/cipher-sft-merged") messages = [ { "role": "user", "content": [ {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"}, {"type": "text", "text": "What animal is on the candy?"} ] }, ] pipe(text=messages)# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("Auroraventures/cipher-sft-merged") model = AutoModelForMultimodalLM.from_pretrained("Auroraventures/cipher-sft-merged") messages = [ { "role": "user", "content": [ {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"}, {"type": "text", "text": "What animal is on the candy?"} ] }, ] inputs = processor.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(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Auroraventures/cipher-sft-merged with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Auroraventures/cipher-sft-merged" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Auroraventures/cipher-sft-merged", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/Auroraventures/cipher-sft-merged
- SGLang
How to use Auroraventures/cipher-sft-merged 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 "Auroraventures/cipher-sft-merged" \ --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": "Auroraventures/cipher-sft-merged", "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 "Auroraventures/cipher-sft-merged" \ --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": "Auroraventures/cipher-sft-merged", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Unsloth Studio
How to use Auroraventures/cipher-sft-merged with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for Auroraventures/cipher-sft-merged to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for Auroraventures/cipher-sft-merged to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Auroraventures/cipher-sft-merged to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="Auroraventures/cipher-sft-merged", max_seq_length=2048, ) - Docker Model Runner
How to use Auroraventures/cipher-sft-merged with Docker Model Runner:
docker model run hf.co/Auroraventures/cipher-sft-merged
| """Generate 3 Awwwards-quality website examples with Cipher SFT (via Unsloth).""" | |
| import torch, re, os | |
| from unsloth import FastLanguageModel | |
| print("[1/4] Loading model with Unsloth (60GB - takes ~2min)...", flush=True) | |
| model, tok = FastLanguageModel.from_pretrained( | |
| model_name="/content/cipher-sft-merged", | |
| max_seq_length=8192, | |
| load_in_4bit=True, | |
| dtype=None, | |
| ) | |
| FastLanguageModel.for_inference(model) | |
| print("[2/4] Model ready.", flush=True) | |
| PROMPTS = { | |
| "01-hero-particles": "Build a complete single-file HTML page with a stunning hero section featuring a Three.js particle system that responds to mouse movement. Include CDN imports for Three.js (use https://unpkg.com/three@0.160.0/build/three.module.js with importmap). Use GSAP from CDN for the headline entrance animation. Style with custom CSS - dark theme with bioluminescent blue/purple accents (#9bf, #a4f). Include a headline 'Cipher.ai' and subheadline 'The Code Kraken sees what others miss.' Make it Awwwards-quality. Output ONLY the complete HTML, nothing else.", | |
| "02-portfolio-scroll": "Build a complete single-file HTML page that's a portfolio with smooth scrolling using Lenis from CDN. Include 3 project sections with parallax images and GSAP scroll-triggered text reveals. Dark elegant theme with custom serif typography. Use placeholder images from picsum.photos. Include CDN scripts inline. Output ONLY complete HTML.", | |
| "03-3d-card": "Build a complete single-file HTML page with an interactive 3D card that flips and rotates on mouse hover. Use vanilla JS with CSS 3D transforms. Glassmorphism style with backdrop-filter. Include subtle GSAP animations for entry. Make the card show a Cipher product preview. Output ONLY complete HTML.", | |
| } | |
| os.makedirs("/content/cipher-sites", exist_ok=True) | |
| print("[3/4] Generating sites...", flush=True) | |
| for name, prompt in PROMPTS.items(): | |
| print(f" -> {name}", flush=True) | |
| msgs = [ | |
| {"role": "system", "content": "You are Cipher, the Code Kraken. Award-winning frontend AI. Output only complete HTML files starting with <!DOCTYPE html>, no markdown fences, no preamble."}, | |
| {"role": "user", "content": prompt}, | |
| ] | |
| inputs = tok.apply_chat_template( | |
| msgs, tokenize=True, add_generation_prompt=True, return_tensors="pt" | |
| ).to("cuda") | |
| with torch.no_grad(): | |
| out = model.generate( | |
| inputs, max_new_tokens=4096, do_sample=True, | |
| temperature=0.7, top_p=0.9, repetition_penalty=1.05, | |
| pad_token_id=tok.eos_token_id, | |
| ) | |
| text = tok.decode(out[0][inputs.shape[1]:], skip_special_tokens=True) | |
| if "```" in text: | |
| m2 = re.search(r"```(?:html)?\s*\n?(.*?)```", text, re.DOTALL) | |
| if m2: | |
| text = m2.group(1) | |
| if "<!DOCTYPE" not in text and "<html" not in text: | |
| text = "<!DOCTYPE html><html><body><pre>" + text + "</pre></body></html>" | |
| with open(f"/content/cipher-sites/{name}.html", "w") as f: | |
| f.write(text) | |
| print(f" saved ({len(text)} chars)", flush=True) | |
| # Index page | |
| with open("/content/cipher-sites/index.html", "w") as f: | |
| f.write("""<!DOCTYPE html><html><head><title>Cipher Generated Sites</title> | |
| <style>body{font-family:system-ui;max-width:700px;margin:60px auto;padding:24px;background:#0a0a0f;color:#e8e8ff} | |
| a{display:block;padding:24px;margin:14px 0;background:#1a1a2e;color:#9bf;text-decoration:none;border-radius:12px;border:1px solid #333;transition:all .2s} | |
| a:hover{background:#252550;border-color:#9bf;transform:translateY(-2px)} | |
| h1{color:#a4f;font-weight:300;letter-spacing:-1px} | |
| .tag{font-size:11px;background:#252540;padding:4px 10px;border-radius:20px;display:inline-block;margin-left:8px;color:#9bf}</style></head><body> | |
| <h1>Cipher - Generated Sites</h1> | |
| <p style="color:#8888aa;margin-bottom:32px">Trained on Awwwards-quality code. Three.js, GSAP, Lenis.</p> | |
| <a href="01-hero-particles.html">01. Hero with Three.js Particles<span class="tag">Three.js + GSAP</span></a> | |
| <a href="02-portfolio-scroll.html">02. Smooth Scroll Portfolio<span class="tag">Lenis + GSAP</span></a> | |
| <a href="03-3d-card.html">03. Interactive 3D Card<span class="tag">CSS 3D + GSAP</span></a> | |
| </body></html>""") | |
| print("[4/4] DONE - 3 sites in /content/cipher-sites/", flush=True) | |