ImgSpace/Qwen3-Embedding-0.6B-Int8
By ImgSpace · ↓ 0 · ♥ 0 · Updated 2026-01-26
What's in this repo
This page lists the files in ImgSpace/Qwen3-Embedding-0.6B-Int8, including Qwen3-Embedding-0.6B.int8.onnx.
- 1 ONNX models (.onnx files)
- 11 files, including 4 .json, 2 .txt, 1 .onnx, 1 .md, 1 .py
- Last updated 2026-01-26
ONNX files
| File | Size | Download |
|---|---|---|
| Qwen3-Embedding-0.6B.int8.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
Qwen3-Embedding-0.6B Int8 ONNX
Qwen3-Embedding 0.6B 参数量的 Int8 量化 ONNX 版本,用于文本嵌入(embedding)任务。
模型来源
- 原始模型:Qwen/Qwen3-Embedding 系列(具体参考官方 Qwen3-Embedding-0.6B)
- 量化方式:Int8 静态量化
- 导出格式:ONNX Runtime 兼容
使用方式(Python + ONNX Runtime)
import onnxruntime as ort
from transformers import AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained("你的用户名/Qwen3-Embedding-0.6B-Int8-ONNX")
session = ort.InferenceSession("Qwen3-Embedding-0.6B.int8.onnx")
text = "这是一个测试句子"
inputs = tokenizer(text, return_tensors="np")
outputs = session.run(None, dict(inputs))
embedding = outputs[0] # 通常是 last_hidden_state 或 pooler_output
Model info
onnx
qwen3
embedding
text-embedding
int8
quantized
license:apache-2.0
region:us
↓ 0
♥ 0
Created: 2026-01-26
Updated: 2026-01-26
View on Hugging FaceFiles (11)
.gitattributes
Dockerfile
Qwen3-Embedding-0.6B.int8.onnx
ONNX
README.md
config.json
main.py
merges.txt
requirements.txt
tokenizer.json
tokenizer_config.json
vocab.json
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