broadfield-dev/Qwen3-0.6B-20260105-055554-onnx
By broadfield-dev · ↓ 0 · ♥ 0 · Updated 2026-01-05
What's in this repo
This page lists the files in broadfield-dev/Qwen3-0.6B-20260105-055554-onnx, including model.onnx.
- 1 ONNX models (.onnx files)
- 14 files, including 8 .json, 1 .md, 1 .jinja, 1 .txt, 1 .onnx, 1 .data
- Last updated 2026-01-05
ONNX files
| File | Size | Download |
|---|---|---|
| model.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
ONNX Export: Qwen/Qwen3-0.6B
- Original Model: Qwen/Qwen3-0.6B
- Task:
text-generation - Optimization:
INT8 (ARM64) - Opset:
18
Usage
from tokenizers import Tokenizer
import onnxruntime as ort
import numpy as np
# 1. Load Tokenizer
tokenizer = Tokenizer.from_pretrained("broadfield-dev/Qwen3-0.6B-20260105-055554-onnx")
# 2. Load Model
session = ort.InferenceSession("model.onnx")
# 3. Inference
text = "Hello world"
encoding = tokenizer.encode(text)
inputs = {
"input_ids": np.array([encoding.ids], dtype=np.int64),
"attention_mask": np.array([encoding.attention_mask], dtype=np.int64)
}
logits = session.run(None, inputs)[0]
print(logits.shape)
Model info
text-generation
transformers
transformers
onnx
qwen3
text-generation
onnxruntime
tokenizers
optimum
pure-onnx
int8
quantized
mobile
conversational
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♥ 0
Created: 2026-01-05
Updated: 2026-01-05
View on Hugging FaceFiles (14)
.gitattributes
README.md
added_tokens.json
chat_template.jinja
config.json
generation_config.json
merges.txt
model.onnx
ONNX
model_quantized.onnx.data
ort_config.json
special_tokens_map.json
tokenizer.json
tokenizer_config.json
vocab.json