Auroraventures/cipher-sft-merged

VISIONPricing:Input $0.48 / Cached $0.1 / Output $1.44Concurrent Unit Cost:2Model Size:31BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Apr 14, 2026License:cc-by-nc-4.0Architecture:Transformer0.0K Open Weights Featherless Exclusive Cold

Auroraventures/cipher-sft-merged is a 31 billion parameter Gemma-4 based causal language model developed by Aurora Ventures, fine-tuned for generating complete, single-file HTML documents in the Awwwards idiom. This model specializes in creative web code generation, including hero sections, scroll experiences, glassmorphism, WebGL, Three.js, and GSAP. It serves as the foundational SFT checkpoint for the Cipher series, optimized for specific aesthetic and functional web development tasks. The model is provided with merged BF16 weights, ready for deployment.

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Auroraventures/cipher-sft-merged: The Code Kraken's Foundation

Auroraventures/cipher-sft-merged is the initial SFT (Supervised Fine-Tuning) checkpoint in the Cipher series, developed by Aurora Ventures. This 31 billion parameter model is built upon unsloth/gemma-4-31b-it-unsloth-bnb-4bit and has been fine-tuned using Unsloth QLoRA on early Awwwards-style code pairs.

Key Capabilities & Specializations

  • HTML Generation: Emits complete, single-file HTML documents.
  • Awwwards Idiom: Specializes in generating code that aligns with the aesthetic and functional styles commonly found on Awwwards.com.
  • Creative Web Elements: Proficient in creating:
    • Hero sections
    • Scroll experiences
    • Glassmorphism effects
    • WebGL and Three.js integrations
    • GSAP animations

Deployment & Usage

This model provides merged BF16 weights, making it ready for use with Hugging Face Inference Endpoints or llama.cpp via its GGUF sibling. It is designed to function as a code generator, particularly for front-end web development tasks requiring specific design patterns.

Upgrade Path

For enhanced performance and a more refined experience, users are encouraged to consider cipher-sft25-real-merged, which is the recommended v3 checkpoint trained on real scraped Awwwards code.

Finetunes
2 models