What are the hardware requirements for Gemma4 E2b It CPT SFTJV2?

Gemma4 E2b It CPT SFTJV2 requires approximately 10.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gemma4 E2b It CPT SFTJV2 and how large is it?

Gemma4 E2b It CPT SFTJV2 is developed by Kadabra, a model with 5.1b 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 Gemma4 E2b It CPT SFTJV2?

Gemma4 E2b It CPT SFTJV2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gemma4 E2b It CPT SFTJV2 by Kadabra — VRAM 10.2GB

Name: Gemma4 E2b It CPT SFTJV2
Author: Kadabra

Gemma4 E2b It CPT SFTJV2 is an open-source language model by Kadabra. Features: 5.1b LLM, VRAM: 10.2GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.24.

4bit Conversational En Endpoints compatible Gemma4 Image-text-to-text Quantized Region:us Safetensors Unsloth

Model Card on HF 🤗: https://huggingface.co/Kadabra/Gemma4-e2b-it-CPT-SFTJV2

Gemma4 E2b It CPT SFTJV2 Parameters and Internals

LLM Name	Gemma4 E2b It CPT SFTJV2
Repository 🤗	https://huggingface.co/Kadabra/Gemma4-e2b-it-CPT-SFTJV2
Model Name	unsloth/gemma-4-e2b-it-unsloth-bnb-4bit
Base Model(s)	unsloth/gemma-4-e2b-it-unsloth-bnb-4bit unsloth/gemma-4-e2b-it-unsloth-bnb-4bit
Model Size	5.1b
Required VRAM	10.2 GB
Updated	2026-08-09
Maintainer	Kadabra
Model Type	gemma4
Model Files	10.2 GB
Supported Languages	en
Quantization Type	4bit
Model Architecture	Gemma4ForConditionalGeneration
License	apache-2.0
Model Max Length	131072
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Torch Data Type	bfloat16

Rank the Gemma4 E2b It CPT SFTJV2 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 Gemma4 E2b It CPT SFTJV2

Best Alternatives	Context / RAM	Downloads	Likes
...emma 4 E2B It Unsloth Bnb 4bit	0K / 8.1 GB	81870	11
... 4 E2B It Qat Q4 0 Unquantized	0K / 10.2 GB	13412	32
... 4 E2B It Qat Q4 0 Unquantized	0K / 10.2 GB	3007	4
Sdam Gemma4 E2B Merged Bf16	0K / 10.2 GB	424	1
Gemma4 Spiritual V5 Merged	0K / 10.3 GB	48	1
...emma4 Utilitarianism V1 Merged	0K / 10.3 GB	46	1
Dama Aibrain	0K / 10.3 GB	323	0
Jev Gemma4	0K / 10.3 GB	29	1
Dama Aibrain	0K / 10.3 GB	38	1
Gemma 4 E2B Unsloth Bnb 4bit	0K / 9 GB	2179	5

Note: green Score (e.g. "73.2") means that the model is better than Kadabra/Gemma4-e2b-it-CPT-SFTJV2.