What are the hardware requirements for Gemma 2 9B It WPO HB?

Gemma 2 9B It WPO HB requires approximately 37.1 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 WPO HB and how large is it?

Gemma 2 9B It WPO HB is developed by wzhouad, 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 WPO HB?

Gemma 2 9B It WPO HB 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 WPO HB by wzhouad — VRAM 37.1GB, 8K context

Name: Gemma 2 9B It WPO HB
Author: wzhouad

Gemma 2 9B It WPO HB is an open-source language model by wzhouad. Features: 9b LLM, VRAM: 37.1GB, Context: 8K, LLM Explorer Score: 0.21.

Arxiv:2310.01377 Arxiv:2406.11827 Arxiv:2406.12845 Alignment-handbook Base model:finetune:google/gem... Base model:google/gemma-2-9b-i... Conversational Dataset:wzhouad/gemma-2-ultraf... Endpoints compatible Gemma Gemma2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/wzhouad/gemma-2-9b-it-WPO-HB

Gemma 2 9B It WPO HB Parameters and Internals

Model Type

text generation

Training Details

Data Sources:

openbmb/UltraFeedback, ULHFlow/ArmoRM-Llama3-8B-v0.1

Methodology:

Weighted Preference Optimization (WPO) by hybrid WPO

Context Length:

2048

LLM Name	Gemma 2 9B It WPO HB
Repository 🤗	https://huggingface.co/wzhouad/gemma-2-9b-it-WPO-HB
Base Model(s)	Gemma 2 9B It google/gemma-2-9b-it
Model Size	9b
Required VRAM	37.1 GB
Updated	2026-07-29
Maintainer	wzhouad
Model Type	gemma2
Model Files	4.8 GB: 1-of-8 5.0 GB: 2-of-8 5.0 GB: 3-of-8 4.9 GB: 4-of-8 5.0 GB: 5-of-8 5.0 GB: 6-of-8 5.0 GB: 7-of-8 2.4 GB: 8-of-8
Model Architecture	Gemma2ForCausalLM
Context Length	8192
Model Max Length	8192
Transformers Version	4.43.3
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	256000
Torch Data Type	float32

Rank the Gemma 2 9B It WPO HB 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 WPO HB

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 wzhouad/gemma-2-9b-it-WPO-HB.