What are the hardware requirements for Gemma 2 9B Literary Prose DPO?

Gemma 2 9B Literary Prose DPO requires approximately 0.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gemma 2 9B Literary Prose DPO and how large is it?

Gemma 2 9B Literary Prose DPO is developed by czcollier, 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 Literary Prose DPO?

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

Gemma 2 9B Literary Prose DPO by czcollier — VRAM 0.2GB

Name: Gemma 2 9B Literary Prose DPO
Author: czcollier

Gemma 2 9B Literary Prose DPO is an open-source language model by czcollier. Features: 9b LLM, VRAM: 0.2GB, License: gemma, LLM Explorer Score: 0.28.

Adapter Base model:adapter:google/gemm... Base model:google/gemma-2-9b Creative-writing Dataset:czcollier/literary-pro... Dpo En Finetuned Gemma2 Literature Lora Peft Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/czcollier/gemma-2-9b-literary-prose-dpo

Gemma 2 9B Literary Prose DPO Parameters and Internals

LLM Name	Gemma 2 9B Literary Prose DPO
Repository 🤗	https://huggingface.co/czcollier/gemma-2-9b-literary-prose-dpo
Base Model(s)	Gemma 2 9B google/gemma-2-9b
Model Size	9b
Required VRAM	0.2 GB
Updated	2026-10-31
Maintainer	czcollier
Model Files	0.2 GB
Supported Languages	en
Model Architecture	Adapter
License	gemma
Is Biased	none
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	down_proj\|o_proj\|up_proj\|v_proj\|q_proj\|gate_proj\|k_proj
LoRA Alpha	32
LoRA Dropout	0.05
R Param	16

Rank the Gemma 2 9B Literary Prose DPO 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

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Bespoke Nimble 9B	0K / 0.2 GB	3967	244
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...en3.5 9B Policy Structure LoRA	0K / 0.2 GB	75	5
EpiQwen3.5 9B	0K / 0.3 GB	123	1
Swe At Scale	0K / 0.2 GB	10	14
....5 9B Agent Sft Efficient Lora	0K / 0.3 GB	32	1
Nautil SFT	0K / 0.2 GB	49	1
Editppt Vision Validator Lora	0K / 0.2 GB	12	1
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Imajev 9B	0K / 0.2 GB	35	1

Note: green Score (e.g. "73.2") means that the model is better than czcollier/gemma-2-9b-literary-prose-dpo.