Gemma 3 local model profile

Evidence snapshot:

Gemma 3 is a local model family available through Ollama. The published local profile lists 270M / 1B / 4B / 12B / 27B variants, 32K-128K context, and a typical 292MB-17GB download range; effective speed and capacity depend on hardware and quantization.

Gemma 3 is documented as a local Ollama family. This page does not claim a Kendr-hosted API route, hosted availability, a Kendr markup, or a routing receipt.

Gemma 3 accepts text and image and returns text. The snapshot records text and image (4b+) as capabilities or interfaces.

$0 token fee. Hardware, storage, memory, electricity, and operational costs remain user-provided.

No comparable third-party benchmark value is present in the 2026-08-12 snapshot. Missing values are not estimated.

No comparable popularity rank or traffic share is present in the 2026-08-12 snapshot. No comparable routing rank or traffic-share observation is attached to this dated profile; missing adoption evidence is not estimated.

Profile data was reviewed for the 2026-08-12 snapshot. Claims retain their source dates, and unavailable fields are shown as unavailable instead of estimated.

Profile facts

Profile type
Local model family
Provider or publisher
Open-weight / Ollama
Context window
32K-128K
Snapshot date
2026-08-12

Context, modalities, and identity

Gemma 3 accepts text and image and returns text. The snapshot records text and image (4b+) as capabilities or interfaces.

Provider or publisher
Open-weight / Ollama
Context window
32K-128K
Maximum output
No verified numeric limit
Input modalities
text and image
Output modalities
text
Knowledge cutoff
Not disclosed

Ollama variants and hardware boundary

The documented Ollama family uses gemma3. It is suited to Efficient private chat, document work, and vision on modest hardware. Actual throughput and maximum usable context vary with the selected variant, quantization, runtime, RAM, and VRAM.

Ollama identifier
gemma3
Variants
270M / 1B / 4B / 12B / 27B
Typical download
292MB-17GB

Capabilities and supported controls

Capabilities and parameters are reported from the dated catalog and source records; their presence does not guarantee identical behavior across every provider route.

Supported parameters
No verified parameter list
  • text
  • image (4b+)

Local operating cost

$0 token fee. Hardware, storage, memory, electricity, and operational costs remain user-provided.

Local inference is not a zero-cost operation: the user supplies compute, memory, storage, electricity, and maintenance.

Price date
2026-08-12
Input
$0 per 1M tokens
Cached input
No verified rate
Output
$0 per 1M tokens

Benchmark evidence and limitations

No comparable third-party benchmark value is present in the 2026-08-12 snapshot. Missing values are not estimated.

Local performance varies by exact variant, quantization, hardware, runtime, and settings.

Popularity and market context

No comparable popularity rank or traffic share is present in the 2026-08-12 snapshot. No comparable routing rank or traffic-share observation is attached to this dated profile; missing adoption evidence is not estimated.

Third-party catalog rank
No verified rank
Global market share
Not inferred
Observation date
2026-08-12

Frequently asked questions

What is Gemma 3?

Gemma 3 is a local model family available through Ollama. The published local profile lists 270M / 1B / 4B / 12B / 27B variants, 32K-128K context, and a typical 292MB-17GB download range; effective speed and capacity depend on hardware and quantization.

What context window does Gemma 3 have?

The dated profile lists 32K-128K of context. Provider routes, variants, and runtime configuration can impose lower effective limits.

What benchmark evidence is available for Gemma 3?

No comparable third-party benchmark value is present in the 2026-08-12 snapshot. Missing values are not estimated. Local performance varies by exact variant, quantization, hardware, runtime, and settings.

Can Gemma 3 run locally?

Gemma 3 is documented here as an Ollama family with the identifier gemma3. Hardware, quantization, context settings, and the selected variant determine practical speed and memory use.

Sources and evidence dates

  1. Gemma 3 on Ollama (primary, checked 2026-08-12)