What are the hardware requirements for Gemma 4 12B It Esper4?

Gemma 4 12B It Esper4 requires approximately 23.9 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gemma 4 12B It Esper4 and how large is it?

Gemma 4 12B It Esper4 is developed by ValiantLabs, 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 Gemma 4 12B It Esper4?

Gemma 4 12B It Esper4 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gemma 4 12B It Esper4 by ValiantLabs — VRAM 23.9GB

Name: Gemma 4 12B It Esper4
Author: ValiantLabs

Gemma 4 12B It Esper4 is an open-source language model by ValiantLabs. Features: 12b LLM, VRAM: 23.9GB, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.3.

12b Analytical Ansible Architect Aws Azure Base model:finetune:google/gem... Base model:google/gemma-4-12b-... Bash C C# C++ Chat Cloud Code Code-instruct Conversational Creative Dataset:sequelbox/mitakihara2-... Dataset:sequelbox/tachibana4-d... Dataset:sequelbox/titanium4-de... Dev-ops Developer Docker En Endpoints compatible Engineer Esper Esper-4 Expert Gcp Gemma Gemma-4 Gemma-4-12b Gemma-4-12b-it Gemma4 unified Go Grafana Haskell Helm Image-text-to-text Instruct Java Javascript Jenkins Kubernetes Powershell Problem-solving Prometheus Python Rationality Reasoning Region:us Rust Safetensors Scripting Shell Terraform Typescript Valiant Valiant-labs

Model Card on HF 🤗: https://huggingface.co/ValiantLabs/gemma-4-12B-it-Esper4

Gemma 4 12B It Esper4 Parameters and Internals

LLM Name	Gemma 4 12B It Esper4
Repository 🤗	https://huggingface.co/ValiantLabs/gemma-4-12B-it-Esper4
Base Model(s)	Gemma 4 12B It google/gemma-4-12B-it
Model Size	12b
Required VRAM	23.9 GB
Updated	2026-08-09
Maintainer	ValiantLabs
Model Type	gemma4_unified
Instruction-Based	Yes
Model Files	23.9 GB
Supported Languages	en
Model Architecture	Gemma4UnifiedForConditionalGeneration
License	apache-2.0
Transformers Version	5.13.1
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>

Rank the Gemma 4 12B It Esper4 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 Gemma 4 12B It Esper4

Best Alternatives	Context / RAM	Downloads	Likes
Grug 12B	0K / 23.9 GB	519	67
Gemma 4 12B It Tachibana Agent	0K / 23.9 GB	82	3

Note: green Score (e.g. "73.2") means that the model is better than ValiantLabs/gemma-4-12B-it-Esper4.