UniReason-Qwen3-14B-RL-GGUF Open-source Model - Free for Text Generation and Mathematical Reasoning Research

Unireason Qwen3 14B RL GGUF

Developed by mradermacher

A static quantization version of UniReason-Qwen3-14B-RL, suitable for text generation and mathematical reasoning research scenarios.

Large Language Model

Transformers

EnglishOpen Source License:Apache-2.0 #Mathematical reasoning optimization #Reinforcement learning fine-tuning #Low-resource deployment

Downloads 272

Release Time : 7/4/2025

Model Overview

A static quantization version based on the Qwen3-14B-RL model, focusing on mathematical reasoning and text generation tasks, offering multiple quantization options to meet different needs.

Model Features

Multiple quantization options

Provides multiple quantization versions from Q2_K to Q8_0 to meet the performance and quality requirements in different scenarios.

Mathematical reasoning optimization

Optimized for mathematical reasoning tasks, suitable for relevant research scenarios.

Static quantization

Adopts static quantization technology to reduce resource consumption while maintaining model performance.

Model Capabilities

Text generation

Mathematical reasoning

Logical reasoning

Use Cases

Academic research

Mathematical problem solving

Used to solve complex mathematical problems and reasoning tasks

Logical reasoning research

Supports research work related to logical reasoning

Education

Mathematics-assisted teaching

Can be used as an auxiliary tool for mathematics learning

🚀 UniReason-Qwen3-14B-RL Quantized Model

This project provides static quantizations of the UniReason-Qwen3-14B-RL model, offering various quantized file options for efficient use.

🚀 Quick Start

This README details the static quantizations of the UniReason-Qwen3-14B-RL model. If you're new to using GGUF files, check TheBloke's READMEs for comprehensive usage instructions, including how to concatenate multi - part files.

✨ Features

Model Base: Built upon the ReasoningTransferability/UniReason-Qwen3-14B-RL base model.
Datasets: Trained on math and reasoning datasets.
Use Cases: Ideal for text-generation, math-reasoning, and research on transferability with RL - GRPO techniques.
License: Licensed under the apache - 2.0 license.

📦 Installation

No specific installation steps are provided in the original README. You can directly download the quantized models from the provided links.

💻 Usage Examples

If you are unsure how to use GGUF files, refer to one of TheBloke's READMEs for more details, including on how to concatenate multi - part files.

📚 Documentation

About

Static quants of UniReason-Qwen3-14B-RL. Weighted/imatrix quants are available at mradermacher/UniReason-Qwen3-14B-RL-i1-GGUF.

Provided Quants

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

Link	Type	Size/GB	Notes
GGUF	Q2_K	5.9
GGUF	Q3_K_S	6.8
GGUF	Q3_K_M	7.4	lower quality
GGUF	Q3_K_L	8.0
GGUF	IQ4_XS	8.3
GGUF	Q4_K_S	8.7	fast, recommended
GGUF	Q4_K_M	9.1	fast, recommended
GGUF	Q5_K_S	10.4
GGUF	Q5_K_M	10.6
GGUF	Q6_K	12.2	very good quality
GGUF	Q8_0	15.8	fast, best quality

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

And here are Artefact2's thoughts on the matter: Artefact2's Gist

FAQ / Model Request

See mradermacher/model_requests for some answers to questions you might have and/or if you want some other model quantized.

Thanks

I thank my company, nethype GmbH, for letting me use its servers and providing upgrades to my workstation to enable this work in my free time.

📄 License

This project is licensed under the apache - 2.0 license.

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