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dolfsai/
Qwen3-Reranker-4B-seq-cls-vllm-W4A16_ASYM

Original Model: danielchalef/Qwen3-Reranker-4B-seq-cls-vllm-fixed
Quantization Method: AWQ
Compression Libraries: <a href="https://github.com/vllm-project/llm-compressor" target="_blank" rel="noopener noreferrer" class="text-blue-400 hover:text-blue-300 underline underline-offset-2 transition-colors">llm-compressor
Calibration Dataset: ultrachat_200k (512 samples)
Optimized For: Inference with vLLM
License: same as original model

Name: Qwen3-Reranker-4B-seq-cls-vllm-W4A16_ASYM
Availability: InStock

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prudant/Qwen3-Reranker-4B-seq-cls-vllm-fixed-W4A16_ASYM

This is a compressed version of danielchalef/Qwen3-Reranker-4B-seq-cls-vllm-fixed using llm-compressor with the following scheme: W4A16_ASYM

python3 -m vllm.entrypoints.openai.api_server --model 'dolfsai/Qwen3-Reranker-4B-seq-cls-vllm-W4A16_ASYM' --task classify

Important: You MUST read the following guide for correct usage of this model here Guide

(Check pooling configuration in VLLM and best pooling mode for this model)