AEGIS knowledge base and retriever
According to the model card, the system pairs the model with a curated 5,426-chunk knowledge base and a dual-stage retriever combining dense recall with a cross-encoder rerank step.
Open Source Model Profile · QuantaSparkLabs
NYXIS-Pro is a 1.54B-parameter Qwen2 text-generation release from QuantaSparkLabs. According to the model card, it wraps a NYXIS base model in an AEGIS knowledge-grounded reasoning system.
NYXIS-Pro is published by QuantaSparkLabs for text generation. The captured configuration identifies Qwen2ForCausalLM with model type qwen2, and Safetensors metadata reports 1,543,714,304 parameters. According to the model card, it combines a NYXIS 1.1B base model with a curated multi-thousand-chunk knowledge base spanning coding, math, science, history, and common knowledge.
According to the model card, the system pairs the model with a curated 5,426-chunk knowledge base and a dual-stage retriever combining dense recall with a cross-encoder rerank step.
According to the model card, a knowledge cascade falls back through external search and the model itself to an explicit admission when information is insufficient.
According to the model card, the system detects user emotion on a 1-to-10 scale to match tone, while noting that detection is keyword-based rather than deep sentiment analysis.
Safetensors metadata reports 1,543,714,304 parameters, and the hub record lists Transformers support.
Source: QuantaSparkLabs/NYXIS-Pro
Captured: Unknown. Processed: 2026-09-07T19:35:51.186256+00:00.
# NYXIS-PRO 🛡️ The all-in-one reasoning engine with the AEGIS knowledge shield. NYXIS-PRO combines the NYXIS1.1B base model with a curated 5,000+ chunk knowledge base covering coding, math, science, history, and common knowledge. A dual‑stage retriever grounds every factual answer in verified data — zero hallucination. 🧠 What Makes It Different Feature Description AEGIS Knowledge Base 5,426 curated Wikipedia, Trivia QA, and ArXiv chunks Dual‑Stage Retriever Dense recall (bge‑small) + Cross‑encoder rerank (ms‑marco‑MiniLM) Emotion Engine Detects user emotion on a 1‑10 scale and matches tone 4‑Tier Knowledge Cascade AEGIS → External…
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