Is Gemma 4 31B IT an API model?

This page documents downloadable publisher weights. Maviter has not reviewed or asserted a provider-hosted API identity, price or data policy for this record.

Does Maviter host Gemma 4 31B IT files?

No. Maviter links to the exact publisher repository revision and does not mirror model binaries or third-party quantisations.

Exact downloadable model / source revision pinned

Gemma 4 31B IT

Q: Can Gemma 4 31B IT run locally?

The publisher provides discoverable model weights. Local compatibility still depends on the exact runtime, quantisation, context and machine. Maviter classifies this as large workstation planning territory, not a guarantee.

google/gemma-4-31B-it

A large open-weight Gemma instruction model for text-and-image reasoning, coding and multimodal understanding on workstation-class systems.

Open pinned publisher source ↗Calculate local fit

Direct answer

Where Gemma 4 31B IT fits.

A large current Gemma instruction model with substantial memory requirements.

The pinned Gemma model card identifies the 31B release as text-and-image input with text output and a 256K-class context.

Identity before opinion

The facts this release can support.

Exact model ID: google/gemma-4-31B-it
Release identity: Gemma 4 / 842da3794eaa
Parameters: 31.27B 31,27,30,88,876 recorded
Documented context: 2,62,144 tokens Publisher maximum, not a local-fit promise
Input → output: text + image → text
Weights access: Publicly discoverable files
Listed licence: Apache-2.0 Read the complete publisher terms
API status: Not reviewed No API identity, price or data policy asserted

Use-case fit

Consider it when…

Evaluate large local multimodal assistants
Test coding and reasoning with text-and-image context
Prototype private workstation inference after confirming runtime support

Limits and cautions

Check carefully when…

The 31B working set requires substantial memory and careful runtime selection
This specific size does not inherit every audio or video capability listed for smaller family variants
Open weights do not remove the need to review the licence and acceptable-use terms

Transparent local planning

What 4-bit weights may ask of the machine.

These are Maviter calculations at an 8,192-token context—not publisher hardware requirements or proof that a runtime supports this release.

01 / Weight floor14.56 GiB

Parameters × 4 bits, converted to GiB.

02 / Runtime + KV10+ GiB

Runtime reserve and formula-backed KV cache.

03 / Planning floor25 GiB

Calculated working set rounded upward.

04 / Comfortable band48 GiB

A planning band with headroom—not a guarantee.

Before adoption

A three-check evaluation is more useful than a leaderboard.

Run the exact publisher release, on the intended runtime, with inputs from the work it must actually perform.

01Confirm support for the exact 31B architecture
02Do not assume family-level modalities apply to this variant
03Measure memory and latency at the intended context

Evidence ledger

Publisher sources, not copied binaries.

Pinned repository treegoogle/gemma-4-31B-it842da3794eaa0b77d5f08bae87a17459d91ff475Open source ↗Pinned model cardCapabilities, licence and usage notesREADME.md at the recorded revisionRead card ↗

The evidence ledger pins an exact publisher revision and monitors it for drift. A source check does not independently reproduce benchmarks or certify production suitability.

Continue comparing

Google / 4.30BGemma 3 4B IT

A compact Gemma instruction model that accepts text and images and returns text for local multimodal experiments.

Open evidence brief →Google / 1.0BGemma 3 1B IT

A compact, text-only Gemma instruction model for constrained local experiments and clearly bounded language tasks.

Open evidence brief →Qwen / 27.78BQwen3.6 27B

A dense 27B Qwen vision-language model positioned for agentic coding, reasoning and multimodal work on high-memory systems.

Open evidence brief →

Common questions

Know the boundary before downloading.

Can Gemma 4 31B IT run locally?

The publisher provides discoverable weights, but runtime support and performance are machine-specific. Use Maviter's fit calculator, then run one controlled test.

Is this an API model?

This record documents downloadable weights. It does not assert a provider-hosted API ID, current price, rate limit or data policy.

Does Maviter host or redistribute the files?

No. The pinned links return to the publisher. Maviter does not mirror binaries or endorse unaudited third-party quantisations.