What are the hardware requirements for RexReranker 0.6B?

RexReranker 0.6B requires approximately 1.2 GB of VRAM and supports a context window of 40K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed RexReranker 0.6B and how large is it?

RexReranker 0.6B is developed by thebajajra, a model with 0.6b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate RexReranker 0.6B?

RexReranker 0.6B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

RexReranker 0.6B by thebajajra — VRAM 1.2GB, 40K context

Name: RexReranker 0.6B
Author: thebajajra

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: 0.22.

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

Model Card on HF 🤗: https://huggingface.co/thebajajra/RexReranker-0.6B

RexReranker 0.6B Parameters and Internals

LLM Name	RexReranker 0.6B
Repository 🤗	https://huggingface.co/thebajajra/RexReranker-0.6B
Base Model(s)	Qwen/Qwen3-Reranker-0.6B Qwen/Qwen3-Reranker-0.6B
Model Size	0.6b
Required VRAM	1.2 GB
Updated	2026-07-20
Maintainer	thebajajra
Model Type	qwen3
Model Files	1.2 GB
Supported Languages	en
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	40960
Model Max Length	40960
Transformers Version	4.57.3
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151669
Errors	replace

Rank the RexReranker 0.6B capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

Best Alternatives to RexReranker 0.6B

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3 Reranker 0.6B	40K / 1.2 GB	2508313	377
Quipu 0.6B	40K / 1.2 GB	351	4
Qwen3 0.6B FP8	40K / 1.1 GB	1581403	62
Privasis Cleaner 0.6B	40K / 1.2 GB	1171	18
Qwen3 Finetuned	40K / 1.2 GB	98	1
Privasis Cleaner 0.6B	40K / 1.2 GB	71	0
Qwen3 0.6B Sushi Code Expert	40K / 1.5 GB	40	0
Qwen 0.6B ConvFill	40K / 1.2 GB	106	0
Qwen3 0.6B	40K / 1.2 GB	99924	22
GLM 5.1 Qwen3 0.6B CoNDeNse	40K / 1.5 GB	137	2

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