Qwen3-Reranker-0.6B-GGUF

Static quants of Qwen/Qwen3-Reranker-0.6B.

Quants

Link	URI	Quant	Size
GGUF	hf:giladgd/Qwen3-Reranker-0.6B-GGUF:Q2_K	Q2_K	296.0MB
GGUF	hf:giladgd/Qwen3-Reranker-0.6B-GGUF:Q3_K_S	Q3_K_S	322.8MB
GGUF	hf:giladgd/Qwen3-Reranker-0.6B-GGUF:Q3_K_M	Q3_K_M	346.9MB
GGUF	hf:giladgd/Qwen3-Reranker-0.6B-GGUF:Q3_K_L	Q3_K_L	368.3MB
GGUF	hf:giladgd/Qwen3-Reranker-0.6B-GGUF:Q4_0	Q4_0	381.3MB
GGUF	hf:giladgd/Qwen3-Reranker-0.6B-GGUF:Q4_K_S	Q4_K_S	383.0MB
GGUF	hf:giladgd/Qwen3-Reranker-0.6B-GGUF:Q4_K_M	Q4_K_M	396.5MB
GGUF	hf:giladgd/Qwen3-Reranker-0.6B-GGUF:Q5_0	Q5_0	436.4MB
GGUF	hf:giladgd/Qwen3-Reranker-0.6B-GGUF:Q5_K_S	Q5_K_S	436.4MB
GGUF	hf:giladgd/Qwen3-Reranker-0.6B-GGUF:Q5_K_M	Q5_K_M	444.2MB
GGUF	hf:giladgd/Qwen3-Reranker-0.6B-GGUF:Q6_K	Q6_K	494.9MB
GGUF	hf:giladgd/Qwen3-Reranker-0.6B-GGUF:Q8_0	Q8_0	639.2MB
GGUF	hf:giladgd/Qwen3-Reranker-0.6B-GGUF:F16	F16	1.2GB

Download a quant using node-llama-cpp (more info):

npx -y node-llama-cpp pull <URI>

Usage

Use with node-llama-cpp (recommended)

Ensure you have node.js installed:

brew install nodejs

CLI

Chat with the model:

npx -y node-llama-cpp chat hf:giladgd/Qwen3-Reranker-0.6B-GGUF:Q8_0

Code

Use it in your project:

npm install node-llama-cpp

import {getLlama, resolveModelFile, LlamaChatSession} from "node-llama-cpp";

const modelUri = "hf:giladgd/Qwen3-Reranker-0.6B-GGUF:Q8_0";


const llama = await getLlama();
const model = await llama.loadModel({
    modelPath: await resolveModelFile(modelUri)
});
const context = await model.createContext();
const session = new LlamaChatSession({
    contextSequence: context.getSequence()
});


const q1 = "Hi there, how are you?";
console.log("User: " + q1);

const a1 = await session.prompt(q1);
console.log("AI: " + a1);

Read the getting started guide to quickly scaffold a new node-llama-cpp project

Use with llama.cpp

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

brew install llama.cpp

CLI

llama-cli -hf giladgd/Qwen3-Reranker-0.6B-GGUF:Q8_0 -p "The meaning to life and the universe is"

Server

llama-server -hf giladgd/Qwen3-Reranker-0.6B-GGUF:Q8_0 -c 2048