What are the hardware requirements for Gemma 4 12B Wren?

Gemma 4 12B Wren requires approximately 6.8 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

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

Gemma 4 12B Wren is developed by glyd, 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 Wren?

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

Gemma 4 12B Wren by glyd — VRAM 6.8GB

Name: Gemma 4 12B Wren
Author: glyd

Gemma 4 12B Wren is an open-source language model by glyd. Features: 12b LLM, VRAM: 6.8GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.28.

8-bit Base model:google/gemma-4-12b-... Base model:quantized:google/ge... Compressed Consumer-gpu Conversational Dense Gemma4 unified Glyd Q4 Q4 0 Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/glyd/gemma-4-12B-wren

Gemma 4 12B Wren Parameters and Internals

LLM Name	Gemma 4 12B Wren
Repository 🤗	https://huggingface.co/glyd/gemma-4-12B-wren
Base Model(s)	... 4 12B It Qat Q4 0 Unquantized google/gemma-4-12B-it-qat-q4_0-unquantized
Model Size	12b
Required VRAM	6.8 GB
Updated	2026-10-21
Maintainer	glyd
Model Type	gemma4_unified
Model Files	5.4 GB: 1-of-2 1.4 GB: 2-of-2
Quantization Type	q4\|q4_0
Model Architecture	Gemma4UnifiedForConditionalGeneration
License	apache-2.0
Transformers Version	5.10.0.dev0
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>

Rank the Gemma 4 12B Wren 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 Wren

Best Alternatives	Context / RAM	Downloads	Likes
Gemma 4 12B It Qat W4a16 Ct	0K / 10.3 GB	1564845	56
... 4 12B It Qat Q4 0 Unquantized	0K / 23.9 GB	531981	73
Humanizer 12B OptiQ 4bit	0K / 8.8 GB	271	4
Gemma 4 12B It Qat 4bit	0K / 10.9 GB	16338	25
... Coder Fable5 Composer2.5 8bit	0K / 12.6 GB	8917	35
... Coder Fable5 Composer2.5 4bit	0K / 6.7 GB	8111	38
Gemma 4 12B It OptiQ 4bit	0K / 8.8 GB	9438	41
Gemma 4 12B It 8bit	0K / 12.7 GB	5702	41
Gemma 4 12B It 4bit	0K / 10.9 GB	7953	15
Gemma 4 12B It Qat OptiQ 4bit	0K / 8.9 GB	5018	11

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