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

Gemma 4 12B It Tachibana Agent 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 Tachibana Agent and how large is it?

Gemma 4 12B It Tachibana Agent is developed by sequelbox, 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 Tachibana Agent?

Gemma 4 12B It Tachibana Agent 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 Tachibana Agent by sequelbox — VRAM 23.9GB

Name: Gemma 4 12B It Tachibana Agent
Author: sequelbox

Gemma 4 12B It Tachibana Agent is an open-source language model by sequelbox. Features: 12b LLM, VRAM: 23.9GB, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.27.

12b Analytical Any-to-any 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/tachibana4-d... Developer En Endpoints compatible Engineer Expert Gcp Gemma Gemma-4 Gemma-4-12b Gemma-4-12b-it Gemma4 unified Go Google Haskell Image-text-to-text Instruct Java Javascript Powershell Problem-solving Python Rationality Reasoning Region:us Rust Safetensors Scripting Shell Tachibana Typescript Valiant Valiant-labs

Model Card on HF 🤗: https://huggingface.co/sequelbox/gemma-4-12B-it-Tachibana-Agent

Gemma 4 12B It Tachibana Agent Parameters and Internals

LLM Name	Gemma 4 12B It Tachibana Agent
Repository 🤗	https://huggingface.co/sequelbox/gemma-4-12B-it-Tachibana-Agent
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	sequelbox
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 Tachibana Agent capabilities

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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 Tachibana Agent

Best Alternatives	Context / RAM	Downloads	Likes
Grug 12B	0K / 23.9 GB	519	67
Gemma 4 12B It Esper4	0K / 23.9 GB	422	10

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