barflyman/llama32-1b-onnx
By barflyman · ↓ 2 · ♥ 0 · Updated 2025-11-24
What's in this repo
This page lists the files in barflyman/llama32-1b-onnx, including model_bnb4.onnx, model_fp16.onnx, model_int8.onnx and more.
- 6 ONNX models (.onnx files)
- 21 files, including 6 .json, 6 .onnx, 3 .onnx_data, 2 .md, 1 .txt, 1 .jinja
- Last updated 2025-11-24
ONNX files
| File | Size | Download |
|---|---|---|
| onnx/model_bnb4.onnx | — | Download |
| onnx/model_fp16.onnx | — | Download |
| onnx/model_int8.onnx | — | Download |
| onnx/model_q4.onnx | — | Download |
| onnx/model_q4f16.onnx | — | Download |
| onnx/model_quantized.onnx | — | Download |
How to use
These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.
README
https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct with ONNX weights to be compatible with Transformers.js.
Usage (Transformers.js)
If you haven't already, you can install the Transformers.js JavaScript library from NPM using:
npm i @huggingface/transformers
Example: Text generation with barflyman/llama32-1b-onnx.
import { pipeline } from "@huggingface/transformers";
// Create a text generation pipeline
const generator = await pipeline("text-generation", "onnx-community/Llama-3.2-1B-Instruct");
// Define the list of messages
const messages = [
{ role: "system", content: "You are a helpful assistant." },
{ role: "user", content: "Tell me a joke." },
];
// Generate a response
const output = await generator(messages, { max_new_tokens: 128 });
console.log(output[0].generated_text.at(-1).content);
Example output
Here's a joke for you:
What do you call a fake noodle?
An impasta!
I hope that made you laugh! Do you want to hear another one?
Note: Having a separate repo for ONNX weights is intended to be a temporary solution until WebML gains more traction. If you would like to make your models web-ready, we recommend converting to ONNX using 🤗 Optimum and structuring your repo like this one (with ONNX weights located in a subfolder named onnx).
Model info
Created: 2025-11-18
Updated: 2025-11-24
View on Hugging Face