What are the hardware requirements for Bge Reranker V2 Gemma?

Bge Reranker V2 Gemma requires approximately 10 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Bge Reranker V2 Gemma and how large is it?

Bge Reranker V2 Gemma is developed by BAAI, a model with 2b 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 Bge Reranker V2 Gemma?

Bge Reranker V2 Gemma is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Bge Reranker V2 Gemma by BAAI — VRAM 10GB, 8K context

Name: Bge Reranker V2 Gemma
Author: BAAI

Bge Reranker V2 Gemma is an open-source language model by BAAI. Features: 2b LLM, VRAM: 10GB, Context: 8K, License: apache-2.0, LLM Explorer Score: 0.19.

Arxiv:2312.15503 Arxiv:2402.03216 Deploy:azure Gemma Multilingual Region:us Safetensors Sentence-transformers Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/BAAI/bge-reranker-v2-gemma

Bge Reranker V2 Gemma Parameters and Internals

LLM Name	Bge Reranker V2 Gemma
Repository 🤗	https://huggingface.co/BAAI/bge-reranker-v2-gemma
Model Size	2b
Required VRAM	10 GB
Updated	2026-08-24
Maintainer	BAAI
Model Type	gemma
Model Files	4.9 GB: 1-of-3 5.0 GB: 2-of-3 0.1 GB: 3-of-3
Model Architecture	GemmaForCausalLM
License	apache-2.0
Context Length	8192
Model Max Length	8192
Transformers Version	4.38.1
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	256000
Torch Data Type	float32

Rank the Bge Reranker V2 Gemma 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 Bge Reranker V2 Gemma

Best Alternatives	Context / RAM	Downloads	Likes
Gemma 1.1 2B It	8K / 5.1 GB	209209	173
Gemma 2B It	8K / 5 GB	16802	3
Gemma 1.1 2B It	8K / 5 GB	43	3
Gemma 2B It Peru Legal Es V2	8K / 5.1 GB	8	1
Codegemma 2B	8K / 5.1 GB	33091	101
Gita SastraGPT V1	8K / 5.1 GB	4	1
Caca Tinny 2B V3	8K / 5.1 GB	4	1
Pandas Tutor Gemma 2B	8K / 5.1 GB	6	1
Gemma Qlora Customer Support	8K / 5.1 GB	8	0
... 2B Finetuned Sft Navarasa 2.0	8K / 10 GB	536	27

Note: green Score (e.g. "73.2") means that the model is better than BAAI/bge-reranker-v2-gemma.