gemma-4-E2B-E4B-12B

E2B: 4 GB (4-bit) or 5-8 GB (8-bit), phone/edge.

llama.cpp Mixed Cross-platform General Updated 2026-06-05

Import

Requires llml ≥ 0.5.0

$ llml import https://llml.dev/profiles/gemma-4-E2B-E4B-12B.toml --activate

$ brew install --cask flyingnobita/tap/llml

$ llml import https://llml.dev/profiles/gemma-4-E2B-E4B-12B.toml --activate

$ go install github.com/flyingnobita/llml/cmd/llml@latest

$ llml import https://llml.dev/profiles/gemma-4-E2B-E4B-12B.toml --activate

$ scoop bucket add flyingnobita https://github.com/flyingnobita/scoop-bucket && scoop install flyingnobita/llml

$ llml import https://llml.dev/profiles/gemma-4-E2B-E4B-12B.toml --activate

Download .toml

Copy the Run command, paste it in your terminal, and pick a local model. The profile attaches immediately — press p in the TUI to confirm.

Why this profile exists

E2B: 4 GB (4-bit) or 5-8 GB (8-bit), phone/edge. E4B: 5.5-6 GB (4-bit) or 9-12 GB (8-bit), laptops. 12B Unified: 7-8 GB (4-bit), 13-14 GB (8-bit), 25 GB (BF16/FP16). llama.cpp supports CPU and GPU inference

Launch configuration

# args

--temp 1.0

--top-p 0.95

--top-k 64

--chat-template-kwargs {"enable_thinking":false}

Hardware assumptions

Mixed — tested envelope
Cross-platform — backend installed and on PATH
Backend: llama.cpp >= current llml-supported version
Profile assumes the model file is already on disk; llml supplies the path at launch

gemma-4-E2B-E4B-12B

Why this profile exists

Launch configuration

Hardware assumptions

Keyboard shortcuts