What are the hardware requirements for Gemma 2 9B It SPPO Iter3?

Gemma 2 9B It SPPO Iter3 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 Gemma 2 9B It SPPO Iter3 and how large is it?

Gemma 2 9B It SPPO Iter3 is developed by UCLA-AGI, 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 Gemma 2 9B It SPPO Iter3?

Gemma 2 9B It SPPO Iter3 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gemma 2 9B It SPPO Iter3 by UCLA-AGI — VRAM 18.6GB, 8K context

Name: Gemma 2 9B It SPPO Iter3
Author: UCLA-AGI

Gemma 2 9B It SPPO Iter3 is an open-source language model by UCLA-AGI. Features: 9b LLM, VRAM: 18.6GB, Context: 8K, License: gemma, LLM Explorer Score: 0.22.

Arxiv:2405.00675 Conversational Dataset:openbmb/ultrafeedback Deploy:azure En Endpoints compatible Gemma2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3

Gemma 2 9B It SPPO Iter3 Parameters and Internals

Model Type

GPT-like, text generation

Supported Languages

en (NLP)

Training Details

Data Sources:

openbmb/UltraFeedback, snorkelai/Snorkel-Mistral-PairRM-DPO-Dataset

Methodology:

Self-Play Preference Optimization, finetuning on synthetic datasets

Model Architecture:

GPT-like

LLM Name	Gemma 2 9B It SPPO Iter3
Repository 🤗	https://huggingface.co/UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3
Model Size	9b
Required VRAM	18.6 GB
Updated	2026-05-08
Maintainer	UCLA-AGI
Model Type	gemma2
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
License	gemma
Context Length	8192
Model Max Length	8192
Transformers Version	4.43.0.dev0
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	256000
Torch Data Type	bfloat16

Rank the Gemma 2 9B It SPPO Iter3 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 Gemma 2 9B It SPPO Iter3

Best Alternatives	Context / RAM	Downloads	Likes
G2 GSHT 32K	32K / 20.4 GB	8	1
SystemGemma2 9B It	32K / 18.6 GB	5	2
Gemma 2 9B It	8K / 18.6 GB	80757	11
GWQ 9B Preview2	8K / 18.6 GB	11	10
Gemma 2 9B It	8K / 18.6 GB	6	0
Gemma 2 9B It SimPO	8K / 18.6 GB	473	173
Gemma 2 9B It	8K / 18.6 GB	323635	837
Gemma 2 9B It Blend Rebase	8K / 20.4 GB	5	0
Gemma 2 9B JEE Socratic Final	8K / 18.6 GB	1118	0
Gemma 2 9B	8K / 37.1 GB	95888	717

Note: green Score (e.g. "73.2") means that the model is better than UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3.