I am opening up private acquisition offers for a completely integrated, proprietary LLM pipeline built on Hugging Face. This repo is designed from the ground up for massive VRAM reduction and extreme local execution speeds.
Key Highlights:
- The Architecture: 20 Billion Parameter Ternary Weight Model. It runs comfortably in ~4.5GB–5GB of VRAM, fitting easily on consumer-grade GPUs or laptops.
- Blazing Fast Performance: Achieves a sustained 200 tokens/second locally and entirely offline.
- Monetization Ready: Features an embedded, localized offline GPU-credit / token-metering licensing system. Perfect for building an edge-AI SaaS or software appliance.
What’s Included in the Sale:
- The Training Stack: Complete preprocessing, tokenization, and custom quantization/training scripts.
- The Inference Engine: All proprietary code/kernels optimized for high token throughput without memory bandwidth choking.
- The License Manager: Code for the offline credit verification module.
- The Model: Access to the fully trained 20B base weights.
Perfect For: Enterprise AI providers, local privacy-first software suites, or edge-device applications.