What are the hardware requirements for Gemma3 Vikhr 4B?

Gemma3 Vikhr 4B requires approximately 7.8 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gemma3 Vikhr 4B and how large is it?

Gemma3 Vikhr 4B is developed by Vikhrmodels, a model with 4b 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 Gemma3 Vikhr 4B?

Gemma3 Vikhr 4B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gemma3 Vikhr 4B by Vikhrmodels — VRAM 7.8GB, 128K context

Name: Gemma3 Vikhr 4B
Author: Vikhrmodels

Gemma3 Vikhr 4B is an open-source language model by Vikhrmodels. Features: 4b LLM, VRAM: 7.8GB, Context: 128K, LLM Explorer Score: 0.17.

Gemma3 text Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Vikhrmodels/gemma3-vikhr-4b

Gemma3 Vikhr 4B Parameters and Internals

LLM Name	Gemma3 Vikhr 4B
Repository 🤗	https://huggingface.co/Vikhrmodels/gemma3-vikhr-4b
Model Size	4b
Required VRAM	7.8 GB
Updated	2026-08-06
Maintainer	Vikhrmodels
Model Type	gemma3_text
Model Files	5.0 GB: 1-of-2 2.8 GB: 2-of-2
Model Architecture	Gemma3ForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.51.0.dev0
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	262208
Torch Data Type	bfloat16

Rank the Gemma3 Vikhr 4B 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 Gemma3 Vikhr 4B

Best Alternatives	Context / RAM	Downloads	Likes
Gemma 3 4B T1 It	128K / 9.1 GB	27	41
KONI 4B Instruct 20250901	128K / 7.8 GB	206	2
Nile Chat 4B	128K / 7.8 GB	760	19
Gemma 3 4B Cpt It 0820	128K / 7.8 GB	16	0
Gemma 3 4B Cpt It 0821	128K / 7.8 GB	7	0
Typhoon2.1 Gemma3 4B	128K / 7.8 GB	744	10
EEVE Rosetta 4B 2507	128K / 7.8 GB	14	8
Gemma 3 4B It Abliterated V2	128K / 15.5 GB	200	11
Typhoon2.1 Gemma3 4B	128K / 7.8 GB	232	6
Gemma 3 4B Tigrinya	128K / 7.8 GB	20	1

Note: green Score (e.g. "73.2") means that the model is better than Vikhrmodels/gemma3-vikhr-4b.