back

Gemma 4 31B IT

Gemma

Google · 33B · Dense

Gemma 4 flagship instruct model (official)

HuggingFace
0 downloads 0 likes 2026-04 256K context

Use Cases

chat vision reasoning

Quantization Options

Quant Bits VRAM Quality Status
Q4_K_M 4 17.4 GB good —
Q6_K 6 25.9 GB excellent —
Q8_0 8 34.3 GB excellent —

About this model

HF model card Gemma

Google

33B

Dense model for chat, vision, reasoning workloads.

Context

256K

Q4 VRAM

~17.4 GB

Dense Vision

Gemma 4 31B IT on your hardware

Gemma 4 flagship instruct model (official). This page turns the Hugging Face model card into practical local-run numbers, so you can compare quantized VRAM, system RAM, and expected fit before downloading a large checkpoint.

Model shape

33B total parameters. Dense models use the whole network for each token.

Local fit target

Start with Q4_K_M: about 17.4 GB on disk and 17.4 GB VRAM before extra context and runtime overhead.

Best use cases

chat, vision, reasoning

License and source

Listed as Gemma from huggingface.co/lmstudio-community/gemma-4-31B-it-GGUF.

Want the real verdict? Pick your GPU or edit the specs on this page and compare the quant table below.

Open HF repo