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Qwen2.5 14B Instruct 1M GGUF

Developed by Mungert
Qwen2.5-14B-Instruct-1M is an instruction-tuned model based on Qwen2.5-14B, supporting text generation tasks and suitable for chat scenarios.
Downloads 1,600
Release Time : 3/18/2025

Model Overview

This model is a large language model optimized through instruction tuning, suitable for dialogue and text generation tasks. Supports English and is licensed under Apache-2.0.

Model Features

IQ-DynamicGate Ultra-low-bit Quantization
Employs precision-adaptive quantization methods suitable for 1-2 bit models, improving accuracy while maintaining memory efficiency.
Dynamic Precision Allocation
The first/last 25% layers use IQ4_XS, while the middle 50% use IQ2_XXS/IQ3_S to optimize model performance.
Key Component Protection
Embedding and output layers use Q5_K, reducing error propagation by 38%.

Model Capabilities

Text generation
Dialogue interaction
Instruction understanding

Use Cases

Chat applications
Smart customer service
Used for automatically responding to user inquiries, providing efficient customer support.
Improves customer service response speed and user experience.
Edge device deployment
Low-memory device inference
Run the model on memory-constrained devices such as smartphones or embedded systems.
Achieves efficient localized inference.
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