v2.2 · 2026-06-12

Gemma 3 1B Instruct

gemma-3-1b-it

TEXT-CHAT

Gemma 3 1B Instruct is a 1B text chat model profile for local AI planning. This page records provider, license, context, quantization, hardware-fit estimates, setup hints, source links, and caveats so readers do not choose a model by name alone.

PROVIDER

Google

FAMILY

Gemma 3

MODEL TYPE

text-chat

PARAMETERS

MODALITIES

text

ARCHITECTURE

decoder-only Transformer instruction model

CONTEXT WINDOW

32,768 tokens

TRAINING TOKENS

2.0T

RELEASE DATE

2025-03-10

LICENSE & LINKS

Gemma Terms of Uselicense text

MODEL CARD

ai.google.dev/gemma/docs/core/model_card_3

HUGGING FACE

google/gemma-3-1b-it

GGUF REPOSITORIES

bartowski/google_gemma-3-1b-it-GGUF community conversion

Community llama.cpp GGUF quantization of the official Google instruction-tuned checkpoint.

SETUP HINTS

OLLAMA

ollama run gemma3:1b

LM STUDIO

Search for bartowski/google_gemma-3-1b-it-GGUF and select Q4_K_M or Q5_K_M.

LLAMA.CPP

Use hf.co/bartowski/google_gemma-3-1b-it-GGUF:Q4_K_M; increase context only if memory permits.

QUANTIZATION FILE SIZES (GGUF)

Q4_K_M

0.806 GB

Q5_K_M

0.851 GB

Q8_0

1.07 GB

Quantization note: Q4_K_M for default local use; Q5_K_M if the model still fits comfortably in RAM/VRAM.

RAM / VRAM ESTIMATES

MIN RAM

3 GB

COMFORTABLE RAM

8 GB

MIN VRAM

2 GB

COMFORTABLE VRAM

4 GB

These are conservative local-inference estimates, not official hardware requirements.

HARDWARE FIT

CPU only (no GPU)

yes

8 GB RAM

yes

16 GB RAM

yes

32 GB RAM

yes

8 GB VRAM

yes

12 GB VRAM

yes

24 GB VRAM

yes

Apple Silicon (unified memory)

yes

Hardware fit values are conservative local-inference estimates based on GGUF size plus runtime and KV-cache overhead. Actual requirements depend on context length, quantization, runtime, GPU offload, and other running apps.

BEST FOR

·very small local chat

·fast offline assistants

·classification

·edge experimentation

AVOID IF

·image input is required

·higher answer quality is required

·large-document synthesis is required

CAVEATS

·The generic Gemma 3 model card describes image input, but Ollama's local 1B tag is text-only and Gemma 3 local vision entries start at 4B; this catalog record treats 1B as text-only.

·GGUF files are community conversions, not official Google GGUF releases.

·RAM and VRAM figures are estimates based on GGUF file size plus conservative runtime and KV-cache overhead, not official hardware requirements.

SOURCE URLS