Modelpublic

giladgd/Apertus-8B-Instruct-2509-GGUF

sourceHugging Faceapache-2.0updated 11mo agoView on Hugging Face

0likes869downloads

Model Card

Apertus-8B-Instruct-2509-GGUF

Static quants of `swiss-ai/Apertus-8B-Instruct-2509`.

Quants

Link	[URI](https://node-llama-cpp.withcat.ai/cli/pull)	Quant	Size
GGUF	`hf:giladgd/Apertus-8B-Instruct-2509-GGUF:Q2_K`	Q2_K	3.3GB
GGUF	`hf:giladgd/Apertus-8B-Instruct-2509-GGUF:Q3_K_S`	Q3KS	3.7GB
GGUF	`hf:giladgd/Apertus-8B-Instruct-2509-GGUF:Q3_K_M`	Q3KM	4.2GB
GGUF	`hf:giladgd/Apertus-8B-Instruct-2509-GGUF:Q3_K_L`	Q3KL	4.6GB
GGUF	`hf:giladgd/Apertus-8B-Instruct-2509-GGUF:Q4_0`	Q4_0	4.7GB
GGUF	`hf:giladgd/Apertus-8B-Instruct-2509-GGUF:Q4_K_S`	Q4KS	4.7GB
GGUF	`hf:giladgd/Apertus-8B-Instruct-2509-GGUF:Q4_K_M`	Q4KM	5.1GB
GGUF	`hf:giladgd/Apertus-8B-Instruct-2509-GGUF:Q5_0`	Q5_0	5.6GB
GGUF	`hf:giladgd/Apertus-8B-Instruct-2509-GGUF:Q5_K_S`	Q5KS	5.6GB
GGUF	`hf:giladgd/Apertus-8B-Instruct-2509-GGUF:Q5_K_M`	Q5KM	5.8GB
GGUF	`hf:giladgd/Apertus-8B-Instruct-2509-GGUF:Q6_K`	Q6_K	6.6GB
GGUF	`hf:giladgd/Apertus-8B-Instruct-2509-GGUF:Q8_0`	Q8_0	8.6GB
GGUF	`hf:giladgd/Apertus-8B-Instruct-2509-GGUF:F16`	F16	16.1GB

[!TIP] Download a quant using node-llama-cpp (more info): ``bash npx -y node-llama-cpp pull <URI> ``

Usage

Use with `node-llama-cpp` (recommended)

Ensure you have node.js installed:

bash

brew install nodejs

CLI

Chat with the model:

bash

npx -y node-llama-cpp chat hf:giladgd/Apertus-8B-Instruct-2509-GGUF:Q4_K_M

Code

Use it in your project:

bash

npm install node-llama-cpp

typescript

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

const modelUri = "hf:giladgd/Apertus-8B-Instruct-2509-GGUF:Q4_K_M";


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);

[!TIP] 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)

bash

brew install llama.cpp

CLI

bash

llama-cli -hf giladgd/Apertus-8B-Instruct-2509-GGUF:Q4_K_M -p "The meaning to life and the universe is"

Server

bash

llama-server -hf giladgd/Apertus-8B-Instruct-2509-GGUF:Q4_K_M -c 2048