Qwen3 1.7B Q8 0 GGUF

🚀 Triangle104/Qwen3-1.7B-Q8_0-GGUF

This model is a conversion of Qwen/Qwen3-1.7B to the GGUF format. It offers advanced language processing capabilities with unique features.

🚀 Quick Start

This model was converted to GGUF format from Qwen/Qwen3-1.7B using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.

✨ Features

Qwen3 is the latest generation of large language models in Qwen series, offering a comprehensive suite of dense and mixture-of-experts (MoE) models. Built upon extensive training, Qwen3 delivers groundbreaking advancements in reasoning, instruction-following, agent capabilities, and multilingual support, with the following key features:

• Uniquely support of seamless switching between thinking mode (for complex logical reasoning, math, and coding) and non-thinking mode (for efficient, general-purpose dialogue) within single model, ensuring optimal performance across various scenarios.
• Significantly enhancement in its reasoning capabilities, surpassing previous QwQ (in thinking mode) and Qwen2.5 instruct models (in non-thinking mode) on mathematics, code generation, and commonsense logical reasoning.
• Superior human preference alignment, excelling in creative writing, role-playing, multi-turn dialogues, and instruction following, to deliver a more natural, engaging, and immersive conversational experience.
• Expertise in agent capabilities, enabling precise integration with external tools in both thinking and unthinking modes and achieving leading performance among open-source models in complex agent-based tasks.
• Support of 100+ languages and dialects with strong capabilities for multilingual instruction following and translation.

📦 Installation

Install llama.cpp through brew (works on Mac and Linux)

brew install llama.cpp

💻 Usage Examples

CLI

llama-cli --hf-repo Triangle104/Qwen3-1.7B-Q8_0-GGUF --hf-file qwen3-1.7b-q8_0.gguf -p "The meaning to life and the universe is"

Server

llama-server --hf-repo Triangle104/Qwen3-1.7B-Q8_0-GGUF --hf-file qwen3-1.7b-q8_0.gguf -c 2048

Alternative Usage Steps

You can also use this checkpoint directly through the usage steps listed in the Llama.cpp repo as well.

Step 1: Clone llama.cpp from GitHub

git clone https://github.com/ggerganov/llama.cpp

Step 2: Move into the llama.cpp folder and build it

cd llama.cpp && LLAMA_CURL=1 make

Step 3: Run inference through the main binary

./llama-cli --hf-repo Triangle104/Qwen3-1.7B-Q8_0-GGUF --hf-file qwen3-1.7b-q8_0.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo Triangle104/Qwen3-1.7B-Q8_0-GGUF --hf-file qwen3-1.7b-q8_0.gguf -c 2048

📚 Documentation

Model Overview

📄 License

This model is licensed under the Apache-2.0 license.