ONNX Model Zoo

onnx-community/oxy-1-micro

By onnx-community · ↓ 4 · ♥ 0 · Updated 2025-03-06

What's in this repo

This page lists the files in onnx-community/oxy-1-micro, including model.onnx, model_bnb4.onnx, model_fp16.onnx and more.

  • 8 ONNX models (.onnx files)
  • 20 files, including 8 .onnx, 7 .json, 2 .onnx_data, 1 .md, 1 .txt
  • Last updated 2025-03-06

ONNX files

File Size Download
onnx/model.onnx — 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
onnx/model_uint8.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/oxyapi/oxy-1-micro 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

You can then use the model to generate text like this:

import { pipeline } from "@huggingface/transformers";

// Create a text generation pipeline
const generator = await pipeline(
  "text-generation",
  "onnx-community/oxy-1-micro",
  { dtype: "q4" },
);

// Define the list of messages
const messages = [
  { role: "system", content: "You are a wise old wizard in a mystical land. A traveler approaches you seeking advice." },
  { role: "user", content: "Where is the nearest inn?" },
];

// Generate a response
const output = await generator(messages, { max_new_tokens: 256, do_sample: false });
console.log(output[0].generated_text.at(-1).content);

See example output

Greetings, traveler! I am here to guide you through this enchanted realm. The nearest inn is located not far from my humble abode. It is called "The Quiet Haven," and it is nestled on a quiet path just beyond my property. You can find it by following the winding paths of the forest. May I assist you further?

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

text-generation transformers.js
transformers.js onnx qwen2 text-generation conversational base_model:oxyapi/oxy-1-micro base_model:quantized:oxyapi/oxy-1-micro region:us
↓ 4 ♥ 0

Created: 2024-12-09

Updated: 2025-03-06

View on Hugging Face

Files (20)

.gitattributes
README.md
added_tokens.json
config.json
generation_config.json
merges.txt
onnx/model.onnx ONNX
onnx/model.onnx_data
onnx/model_bnb4.onnx ONNX
onnx/model_fp16.onnx ONNX
onnx/model_fp16.onnx_data
onnx/model_int8.onnx ONNX
onnx/model_q4.onnx ONNX
onnx/model_q4f16.onnx ONNX
onnx/model_quantized.onnx ONNX
onnx/model_uint8.onnx ONNX
special_tokens_map.json
tokenizer.json
tokenizer_config.json
vocab.json

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