What are the hardware requirements for GrayLine Gemma3 12B?

GrayLine Gemma3 12B requires approximately 24.3 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed GrayLine Gemma3 12B and how large is it?

GrayLine Gemma3 12B is developed by soob3123, 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 GrayLine Gemma3 12B?

GrayLine Gemma3 12B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

GrayLine Gemma3 12B by soob3123 — VRAM 24.3GB, 128K context

Name: GrayLine Gemma3 12B
Author: soob3123

GrayLine Gemma3 12B is an open-source language model by soob3123. Features: 12b LLM, VRAM: 24.3GB, Context: 128K, License: apache-2.0, Quantized, LLM Explorer Score: 0.18.

Amoral-ai Autotrain compatible Base model:finetune:google/gem... Base model:google/gemma-3-12b-... Conversational Dataset:soob3123/grayline-qa Direct-answer En Endpoints compatible Gemma3 text General-knowledge Information-retrieval Q4 Q4 0 Quantized Region:us Safetensors Sharded Tensorflow Uncensored Unfiltered

Model Card on HF 🤗: https://huggingface.co/soob3123/GrayLine-Gemma3-12B

GrayLine Gemma3 12B Parameters and Internals

LLM Name	GrayLine Gemma3 12B
Repository 🤗	https://huggingface.co/soob3123/GrayLine-Gemma3-12B
Base Model(s)	... 3 12B It Qat Q4 0 Unquantized google/gemma-3-12b-it-qat-q4_0-unquantized
Model Size	12b
Required VRAM	24.3 GB
Updated	2025-05-18
Maintainer	soob3123
Model Type	gemma3_text
Model Files	5.0 GB: 1-of-5 4.9 GB: 2-of-5 4.9 GB: 3-of-5 4.9 GB: 4-of-5 4.6 GB: 5-of-5
Supported Languages	en
Quantization Type	q4\|q4_0
Model Architecture	Gemma3ForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.51.3
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	262208
Torch Data Type	bfloat16

Rank the GrayLine Gemma3 12B 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 GrayLine Gemma3 12B

Best Alternatives	Context / RAM	Downloads	Likes
... 12B Instruct 2608 V1 Mlx 6Bit	128K / 9.6 GB	225	1
Gemma 3 12B It Qat Abliterated	128K / 47.2 GB	59	14
...ranscription Fixer Gemma 3 12B	128K / 24.3 GB	10	1
Erebus RP 12B Instruct 2608 V1	128K / 23.4 GB	10	0
GaMS3 12B Instruct	128K / 23.4 GB	4238	5
YanoljaNEXT Rosetta 12B 2510	128K / 25.4 GB	953	29
Typhoon2.1 Gemma3 12B	128K / 23.4 GB	1610	18
Nile Chat 12B	128K / 23.4 GB	657	14
Gemma 3 12B It Abliterated V2	128K / 47.2 GB	487	24
Typhoon2.1 Gemma3 12B	128K / 23.4 GB	677	19

Note: green Score (e.g. "73.2") means that the model is better than soob3123/GrayLine-Gemma3-12B.