Research-Reasoning-Qwen-F32-GGUF

Nemotron-Research-Reasoning-Qwen-1.5B-GGUF

Nemotron-Research-Reasoning-Qwen-1.5B is the world’s leading 1.5B open-weight model for complex reasoning tasks such as mathematical problems, coding challenges, scientific questions, and logic puzzles. It is trained using the ProRL algorithm on a diverse and comprehensive set of datasets. Our model has achieved impressive results, outperforming Deepseek’s 1.5B model by a large margin on a broad range of tasks, including math, coding, and GPQA.

Model Files

Quick Selection Guide

• For Research/Development: Use F32 or BF16 for maximum accuracy
• For Production (Recommended): Use Q5_K_M for best quality/performance balance
• For Resource-Constrained Environments: Use Q4_K_M or Q4_K_S
• For Edge Devices: Use Q3_K_M or Q2_K for minimal footprint

Quants Usage

(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)

Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):