What are the hardware requirements for Gemma2 9B IT Simpo Infinity Preference?

Gemma2 9B IT Simpo Infinity Preference requires approximately 18.6 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 Gemma2 9B IT Simpo Infinity Preference and how large is it?

Gemma2 9B IT Simpo Infinity Preference is developed by BAAI, a model with 9b 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 Gemma2 9B IT Simpo Infinity Preference?

Gemma2 9B IT Simpo Infinity Preference is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gemma2 9B IT Simpo Infinity Preference by BAAI — VRAM 18.6GB, 8K context

Name: Gemma2 9B IT Simpo Infinity Preference
Author: BAAI

Gemma2 9B IT Simpo Infinity Preference is an open-source language model by BAAI. Features: 9b LLM, VRAM: 18.6GB, Context: 8K, Instruction-Based, LLM Explorer Score: 0.2.

Base model:finetune:google/gem... Base model:google/gemma-2-9b-i... Dataset:baai/infinity-instruct En Gemma2 Instruct Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/BAAI/Gemma2-9B-IT-Simpo-Infinity-Preference

Gemma2 9B IT Simpo Infinity Preference Parameters and Internals

Supported Languages

en (unknown)

Training Details

Data Sources:

Infinity-Preference

Methodology:

Finetuned with Simpo

Context Length:

2048

LLM Name	Gemma2 9B IT Simpo Infinity Preference
Repository 🤗	https://huggingface.co/BAAI/Gemma2-9B-IT-Simpo-Infinity-Preference
Base Model(s)	Gemma 2 9B It google/gemma-2-9b-it
Model Size	9b
Required VRAM	18.6 GB
Updated	2026-09-09
Maintainer	BAAI
Model Type	gemma2
Instruction-Based	Yes
Model Files	4.9 GB: 1-of-4 5.0 GB: 2-of-4 5.0 GB: 3-of-4 3.7 GB: 4-of-4
Supported Languages	en
Model Architecture	Gemma2ForCausalLM
Context Length	8192
Model Max Length	8192
Transformers Version	4.44.2
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	256000
Torch Data Type	bfloat16

Rank the Gemma2 9B IT Simpo Infinity Preference 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 Gemma2 9B IT Simpo Infinity Preference

Best Alternatives	Context / RAM	Downloads	Likes
...2 9B Cpt Sahabatai V1 Instruct	8K / 18.6 GB	1369	47
Gigantes V2 Gemma2 9B It	8K / 18.6 GB	5	1
Gemma Evo 10B	8K / 20.4 GB	26	5
Gigantes V3 Gemma2 9B It	8K / 18.6 GB	6	0
Gigantes V1 Gemma2 9B It	8K / 18.6 GB	10	2
SILMA 9B Instruct V1.0	8K / 18.6 GB	2980	86
Magnum V4 9B	8K / 18.6 GB	88	20
Odin 9B	8K / 18.6 GB	26	5
GaMS 9B Instruct	8K / 18.6 GB	1583	2
Turkish Gemma 9B V0.1	8K / 18.6 GB	480	40

Note: green Score (e.g. "73.2") means that the model is better than BAAI/Gemma2-9B-IT-Simpo-Infinity-Preference.