What are the hardware requirements for Gemma 4 31B It Scotoma?

Gemma 4 31B It Scotoma requires approximately 62.6 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gemma 4 31B It Scotoma and how large is it?

Gemma 4 31B It Scotoma is developed by ReadyArt, a model with 31b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Gemma 4 31B It Scotoma perform on standard benchmarks?

Gemma 4 31B It Scotoma has the following published scores: LMSYS ELO 1451. Compare against reference models on this page or on the LLM Explorer leaderboards.

Gemma 4 31B It Scotoma by ReadyArt — VRAM 62.6GB

Name: Gemma 4 31B It Scotoma
Author: ReadyArt

Gemma 4 31B It Scotoma is an open-source language model by ReadyArt. Features: 31b LLM, VRAM: 62.6GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.41, ELO: 1451.

Conversational Endpoints compatible Gemma4 Gguf Image-text-to-text Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/ReadyArt/gemma-4-31B-it-scotoma

Gemma 4 31B It Scotoma Benchmarks

LMSys ELO 1451 vs 1272 (so35) 14.1%

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Gemma 4 31B It Scotoma Parameters and Internals

LLM Name	Gemma 4 31B It Scotoma
Repository 🤗	https://huggingface.co/ReadyArt/gemma-4-31B-it-scotoma
Base Model(s)	google/gemma-4-31b-it google/gemma-4-31b-it
Model Size	31b
Required VRAM	62.6 GB
Updated	2026-10-13
Maintainer	ReadyArt
Model Type	gemma4
Model Files	0.0 GB 49.8 GB: 1-of-2 12.8 GB: 2-of-2
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	Gemma4ForConditionalGeneration
License	apache-2.0
Transformers Version	5.5.0.dev0
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>

Rank the Gemma 4 31B It Scotoma 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 31B It Scotoma

Best Alternatives	Context / RAM	Downloads	Likes
Gemma 4 31B It GGUF	0K / 1.2 GB	486193	551
Gemma4 31B 1bit	0K / 3.8 GB	378	1
Gemma 4 31B It Qat GGUF	0K / 0.3 GB	200029	175
Gemma Astrology	0K / 62.6 GB	459	1
Gemma 4 31B It 4bit	0K / 18.5 GB	45067	46
... 4 31B It Qat Q4 0 Unquantized	0K / 62.6 GB	9972	39
...emma 4 31B It Unsloth Bnb 4bit	0K / 19.2 GB	19180	25
... 4 31B It Qat Q4 0 Unquantized	0K / 62.6 GB	2074	4
Gemma 4 31B It 8bit	0K / 33.8 GB	3214	17
Gemma 4 31B 8bit	0K / 33.8 GB	957	24

Note: green Score (e.g. "73.2") means that the model is better than ReadyArt/gemma-4-31B-it-scotoma.