What are the hardware requirements for Gemma 3 4B It Roleplay Tuned V2?

Gemma 3 4B It Roleplay Tuned V2 requires approximately 8.6 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gemma 3 4B It Roleplay Tuned V2 and how large is it?

Gemma 3 4B It Roleplay Tuned V2 is developed by Indexnusrefather, a model with 4b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Gemma 3 4B It Roleplay Tuned V2 perform on standard benchmarks?

Gemma 3 4B It Roleplay Tuned V2 has the following published scores: LMSYS ELO 1303. Compare against reference models on this page or on the LLM Explorer leaderboards.

Gemma 3 4B It Roleplay Tuned V2 by Indexnusrefather — VRAM 8.6GB

Name: Gemma 3 4B It Roleplay Tuned V2
Author: Indexnusrefather

Gemma 3 4B It Roleplay Tuned V2 is an open-source language model by Indexnusrefather. Features: 4b LLM, VRAM: 8.6GB, License: gemma, Quantized, LLM Explorer Score: 0.41, ELO: 1303.

4bit Base model:adapter:google/gemm... Base model:google/gemma-3-4b-i... Conversational Creative En Endpoints compatible Experimental Finetuned Gemma3 Gguf Lora Quantized Region:us Roleplay Rp Safetensors Sharded Tensorflow Writer

Model Card on HF 🤗: https://huggingface.co/Indexnusrefather/gemma-3-4b-it-roleplay-tuned-v2

Gemma 3 4B It Roleplay Tuned V2 Benchmarks

LMSys ELO 1303 vs 1272 (so35) 2.4%

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Gemma 3 4B It Roleplay Tuned V2 Parameters and Internals

LLM Name	Gemma 3 4B It Roleplay Tuned V2
Repository 🤗	https://huggingface.co/Indexnusrefather/gemma-3-4b-it-roleplay-tuned-v2
Model Name	unsloth/gemma-3-4b-it-unsloth-bnb-4bit
Base Model(s)	Gemma 3 4B It google/gemma-3-4b-it
Model Size	4b
Required VRAM	8.6 GB
Updated	2026-08-11
Maintainer	Indexnusrefather
Model Type	gemma3
Model Files	0.9 GB 7.8 GB 2.5 GB 2.8 GB 3.2 GB 4.1 GB 5.0 GB: 1-of-2 3.6 GB: 2-of-2
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	4bit\|gguf
Model Architecture	Gemma3ForConditionalGeneration
License	gemma
Model Max Length	131072
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
LoRA Model	Yes
Torch Data Type	bfloat16

Rank the Gemma 3 4B It Roleplay Tuned V2 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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