Qwen3-Reranker-0.6B-ONNX

378
2
license:apache-2.0
by
n24q02m
Other
OTHER
0.6B params
New
378 downloads
Early-stage
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Edge AI:
Mobile
Laptop
Server
2GB+ RAM
Mobile
Laptop
Server
Quick Summary

AI model with specialized capabilities.

Device Compatibility

Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
1GB+ RAM

Code Examples

Usagebash
pip install qwen3-embed
Usagepythononnx
from qwen3_embed import TextCrossEncoder

# INT8 (default)
reranker = TextCrossEncoder("n24q02m/Qwen3-Reranker-0.6B-ONNX")
scores = list(reranker.rerank("What is AI?", ["AI is...", "Pizza is..."]))

# Custom instruction
scores = list(reranker.rerank(
    "What is AI?",
    ["doc1", "doc2"],
    instruction="Judge document relevance for code search.",
))

# Q4F16 (smaller, slightly less accurate)
reranker_q4 = TextCrossEncoder("n24q02m/Qwen3-Reranker-0.6B-ONNX-Q4F16")

# YesNo INT8 (optimized output, ~10x less RAM)
reranker_yesno = TextCrossEncoder("n24q02m/Qwen3-Reranker-0.6B-ONNX-YesNo")

# YesNo Q4F16 (smallest + optimized output)
reranker_yesno_q4 = TextCrossEncoder("n24q02m/Qwen3-Reranker-0.6B-ONNX-YesNo-Q4F16")
YesNo Q4F16 (smallest + optimized output)bash
pip install fastembed
YesNo Q4F16 (smallest + optimized output)python
from fastembed import TextCrossEncoder

# INT8 (default)
reranker = TextCrossEncoder("Qwen/Qwen3-Reranker-0.6B")
scores = list(reranker.rerank("What is AI?", ["AI is...", "Pizza is..."]))

# Q4F16
reranker_q4 = TextCrossEncoder("Qwen/Qwen3-Reranker-0.6B-Q4F16")

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