What are the hardware requirements for Gemma4 12B FACEBOOK E2 BF16?

Gemma4 12B FACEBOOK E2 BF16 requires approximately 23.9 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gemma4 12B FACEBOOK E2 BF16 and how large is it?

Gemma4 12B FACEBOOK E2 BF16 is developed by taharmasmaliyev07, a model with 12b 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 12B FACEBOOK E2 BF16?

Gemma4 12B FACEBOOK E2 BF16 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gemma4 12B FACEBOOK E2 BF16 by taharmasmaliyev07 — VRAM 23.9GB

Name: Gemma4 12B FACEBOOK E2 BF16
Author: taharmasmaliyev07

Gemma4 12B FACEBOOK E2 BF16 is an open-source language model by taharmasmaliyev07. Features: 12b LLM, VRAM: 23.9GB, License: apache-2.0, LLM Explorer Score: 0.28.

Base model:finetune:taharmasma... Base model:taharmasmaliyev07/g... Conversational En Endpoints compatible Gemma4 unified Image-text-to-text Region:us Safetensors Unsloth

Model Card on HF 🤗: https://huggingface.co/taharmasmaliyev07/Gemma4-12B-FACEBOOK-E2-BF16

Gemma4 12B FACEBOOK E2 BF16 Parameters and Internals

LLM Name	Gemma4 12B FACEBOOK E2 BF16
Repository 🤗	https://huggingface.co/taharmasmaliyev07/Gemma4-12B-FACEBOOK-E2-BF16
Base Model(s)	Gemma4 12B FACEBOOK E2 BF16 taharmasmaliyev07/Gemma4-12B-FACEBOOK-E2-BF16
Model Size	12b
Required VRAM	23.9 GB
Updated	2026-11-01
Maintainer	taharmasmaliyev07
Model Type	gemma4_unified
Model Files	23.9 GB
Supported Languages	en
Model Architecture	Gemma4UnifiedForConditionalGeneration
License	apache-2.0
Transformers Version	5.17.0
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Torch Data Type	bfloat16

Rank the Gemma4 12B FACEBOOK E2 BF16 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 12B FACEBOOK E2 BF16

Best Alternatives	Context / RAM	Downloads	Likes
Gemma 4 12B It	0K / 23.9 GB	2965396	1417
Gemma 4 12B	0K / 23.9 GB	69628	816
...able5 Composer2.5 V2.3.5x Tau2	0K / 23.9 GB	242415	87
Jev Omni	0K / 23.9 GB	0	223
Gemma 4 12B It	0K / 23.9 GB	146843	15
Gemma 4 12B It NVFP4	0K / 9.3 GB	47579	20
Smaug Humanizer	0K / 23.9 GB	285	4
...le5 Composer2.5 V1 Abliterated	0K / 24 GB	30003	1
Basal Omni 1.0 Max	0K / 23.9 GB	1098	3
Gemma 4 12B	0K / 23.9 GB	13026	18

Note: green Score (e.g. "73.2") means that the model is better than taharmasmaliyev07/Gemma4-12B-FACEBOOK-E2-BF16.