Vaultek/Quartz-R1-8B-Genesis
Quartz-R1-8B-Genesis is an 8 billion parameter language model developed by Vaultek, based on the YandexGPT-5-Lite-8B-pretrain architecture. It features an integrated chain-of-thought mechanism using a tag and has been de-censored and fine-tuned using DeepSeek-R1 Distillation and Genesis Tensor Denoising. This model is optimized for reasoning tasks and exhibits high accuracy in stress tests, making it suitable for applications requiring robust analytical capabilities.
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Quartz-R1-8B-Genesis: Integrated Chain-of-Thought Model
Quartz-R1-8B-Genesis is an 8 billion parameter language model developed by Vaultek, built upon the YandexGPT-5-Lite-8B-pretrain architecture. It has undergone significant re-engineering, de-censoring, and fine-tuning using DeepSeek-R1 Distillation and Genesis Tensor Denoising methodologies. A key feature is its integrated chain-of-thought mechanism, requiring the use of a <think> block within its ChatML dialogue template to guide its reasoning process.
Key Capabilities & Features
- Integrated Chain-of-Thought: Utilizes a mandatory
<think>tag for structured reasoning. - Genesis Tensor Denoising: Post-training weight filtering, scale alignment, and anomaly removal to enhance precision and reduce hallucinations, even with 4-bit quantization.
- Robust Performance: Achieves 86.8% on ARC-Challenge and 74.2% on GSM8K, demonstrating strong reasoning and mathematical abilities.
- Vaultek Custom Stress-Suite: Achieved a 98.0% pass rate on 50 stress tests from a Qwen3.8-27B teacher model and 100% identity accuracy, indicating strong adherence to its intended persona.
Good For
- Applications requiring explicit, structured reasoning and problem-solving.
- Tasks benefiting from enhanced precision and reduced hallucinations, particularly in quantized environments.
- Use cases where a model with a distinct, de-censored persona is desired.