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OpenVINO IR export of
Qwen/Qwen3-Reranker-0.6B
, quantized to
INT8
— 590 MB.
Quantization
weight compression (optimum)
Lesson
13 Two-stage retrieval
Built by
convert/convert_all.py
of the ARCademy OpenVINO courseware
A cross-encoder that is really a causal LM: it reads query and document together and you score the pair from the logits of the 'yes' and 'no' tokens at the last position. Exported WITHOUT KV cache on purpose — scoring is a single forward pass, and a cache the lesson never reuses is only a bigger file and an extra input to explain.
from huggingface_hub import snapshot_download
model_dir = snapshot_download("circulus/qwen3-reranker-0.6b-int8-ov")
Runs of circulus qwen3-reranker-0.6b-int8-ov on huggingface.co
14
Total runs
0
24-hour runs
-3
3-day runs
-11
7-day runs
1
30-day runs
More Information About qwen3-reranker-0.6b-int8-ov huggingface.co Model
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