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🚨 REQUIRED Llama.cpp build:
https://github.com/ngxson/llama.cpp/tree/xsn/qwen3_embd_rerank
This unmerged fix branch is mandatory
to run Qwen3 reranking models. Other HF GGUF quantizations of the 0.6B reranker typically fail in mainline
llama.cpp
because they were not produced with this build.
This quantization was produced with the above build and works.
Purpose
Multilingual
text-reranking
model in
GGUF
for efficient CPU/GPU inference with
llama.cpp
-compatible back-ends.
Parameters ≈
0.6 B
.
Note:
Token embedding matrix and output tensors are
left at FP16
across all quantizations.
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JonathanMiddleton Qwen3-Reranker-0.6B online free url in huggingface.co:
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Qwen3-Reranker-0.6B install url in huggingface.co: