RexReranker 0.6B by thebajajra

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RexReranker 0.6B is an open-source language model by thebajajra. Features: 0.6b LLM, VRAM: 1.2GB, Context: 40K, License: apache-2.0, LLM Explorer Score: 0.28.

  Alibaba   Amazon   Asos Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-reranker...   Bestbuy   Carrefour   Costco Dataset:thebajajra/amazebay-re...   Decoder   E-commerce   Ebay   Ecommerce   En   Endpoints compatible   Etsy   Flipkart   Foundation-model   Google   Language-modeling   Marketplace   Model-index   Overstock   Qwen3   Rakuten   Region:us   Retail   Safetensors   Shein   Shopify   Shopping   Taobao   Target   Text-ranking   Walmart   Wayfair

RexReranker 0.6B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

RexReranker 0.6B Parameters and Internals

LLM NameRexReranker 0.6B
Repository 🤗https://huggingface.co/thebajajra/RexReranker-0.6B 
Base Model(s)  Qwen/Qwen3-Reranker-0.6B   Qwen/Qwen3-Reranker-0.6B
Model Size0.6b
Required VRAM1.2 GB
Updated2026-05-06
Maintainerthebajajra
Model Typeqwen3
Model Files  1.2 GB
Supported Languagesen
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length40960
Model Max Length40960
Transformers Version4.57.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151669
Errorsreplace

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...ied Qwen3 0.6B Gabliterated V140K / 1.2 GB170
Note: green Score (e.g. "73.2") means that the model is better than thebajajra/RexReranker-0.6B.

Rank the RexReranker 0.6B Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Release v20260328a