Norb3rt-Qdb is a 32-billion parameter language model specifically designed for advanced reasoning and code generation in the Q programming language. Built upon the robust Qwen 2.5 architecture, this model has undergone a comprehensive three-stage training process: pretraining, supervised fine-tuning (SFT), and reinforcement learning (RL) for the Q programming language. Norb3rt-Qdb is a reasoning model.

Associated Technical Report: Report

🔤 About Q Programming Language

Q is a high-performance, vector-oriented programming language developed by Kx Systems, primarily used in:

Financial Markets: High-frequency trading, risk management, and market data analysis
Time-Series Analytics: Real-time processing of large-scale temporal data
Data Science: Efficient manipulation of large datasets with concise syntax
Quantitative Research: Mathematical modeling and statistical analysis

Key Q Language Features:

Vector Operations: Built-in support for element-wise operations on arrays
Functional Programming: First-class functions and powerful combinators
Memory Efficiency: Optimized for handling large datasets in minimal memory
Speed: Exceptional performance for numerical computations
Concise Syntax: Expressive code that can accomplish complex tasks in few lines

ChathamHouse/Norb3rt-Qdb

Norb3rt-Qdb: Reasoning-Enhanced Q Programming Language Model

Model Overview

🔤 About Q Programming Language

Key Q Language Features:

📝 Citation

ChathamHouse/
Norb3rt-Qdb