gemma-4-26B-A4B-31B

26B-A4B: 16-18 GB (4-bit), 28-30 GB (8-bit), 52 GB (BF16/FP16).

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

Import

Requires llml ≥ 0.5.0

$ llml import https://llml.dev/profiles/gemma-4-26B-A4B-31B.toml --activate

$ brew install --cask flyingnobita/tap/llml

$ llml import https://llml.dev/profiles/gemma-4-26B-A4B-31B.toml --activate

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

$ llml import https://llml.dev/profiles/gemma-4-26B-A4B-31B.toml --activate

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

$ llml import https://llml.dev/profiles/gemma-4-26B-A4B-31B.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

26B-A4B: 16-18 GB (4-bit), 28-30 GB (8-bit), 52 GB (BF16/FP16). 31B: 17-20 GB (4-bit), 34-38 GB (8-bit), 62 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-4-26B-A4B-31B

Why this profile exists

Launch configuration

Hardware assumptions

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