Apertus-70B-Instruct-2509-GGUF
Static quants of swiss-ai/Apertus-70B-Instruct-2509
.
Quants
Link | URI | Quant | Size |
---|---|---|---|
GGUF | hf:giladgd/Apertus-70B-Instruct-2509-GGUF:Q2_K |
Q2_K | 27.3GB |
GGUF | hf:giladgd/Apertus-70B-Instruct-2509-GGUF:Q3_K_S |
Q3_K_S | 30.8GB |
GGUF | hf:giladgd/Apertus-70B-Instruct-2509-GGUF:Q3_K_M |
Q3_K_M | 35.5GB |
GGUF | hf:giladgd/Apertus-70B-Instruct-2509-GGUF:Q3_K_L |
Q3_K_L | 39.6GB |
GGUF | hf:giladgd/Apertus-70B-Instruct-2509-GGUF:Q4_0 |
Q4_0 | 40.0GB |
GGUF | hf:giladgd/Apertus-70B-Instruct-2509-GGUF:Q4_K_S |
Q4_K_S | 40.4GB |
GGUF | hf:giladgd/Apertus-70B-Instruct-2509-GGUF:Q4_K_M |
Q4_K_M | 43.7GB |
GGUF | hf:giladgd/Apertus-70B-Instruct-2509-GGUF:Q5_0 |
Q5_0 | 48.7GB |
GGUF | hf:giladgd/Apertus-70B-Instruct-2509-GGUF:Q5_K_S |
Q5_K_S | 48.7GB |
GGUF | hf:giladgd/Apertus-70B-Instruct-2509-GGUF:Q5_K_M |
Q5_K_M | 50.6GB |
GGUF | hf:giladgd/Apertus-70B-Instruct-2509-GGUF:Q6_K |
Q6_K | 57.9GB |
GGUF | hf:giladgd/Apertus-70B-Instruct-2509-GGUF:Q8_0 |
Q8_0 | 75.0GB |
GGUF | hf:giladgd/Apertus-70B-Instruct-2509-GGUF:F16 |
F16 | 141.2GB |
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/Apertus-70B-Instruct-2509-GGUF:Q4_K_M
Code
Use it in your project:
npm install node-llama-cpp
import {getLlama, resolveModelFile, LlamaChatSession} from "node-llama-cpp";
const modelUri = "hf:giladgd/Apertus-70B-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);
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/Apertus-70B-Instruct-2509-GGUF:Q4_K_M -p "The meaning to life and the universe is"
Server
llama-server -hf giladgd/Apertus-70B-Instruct-2509-GGUF:Q4_K_M -c 2048
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Hardware compatibility
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Model tree for giladgd/Apertus-70B-Instruct-2509-GGUF
Base model
swiss-ai/Apertus-70B-2509
Finetuned
swiss-ai/Apertus-70B-Instruct-2509