Gemma 4 26B A4B

EXL3 6.1 bpw · tabbyapi · 128K context · RTX 5090 · 32 GB

Google's Gemma 4 mixture-of-experts model: 26B total, 4B active, so it runs fast while seeing images and thinking.

173 tok/sdecode

4,483 tok/sprefill

128Kcontext window

Tested on this cardSep 26, 2026

Run it

Follow the steps below to download and run this recipe. Omarchy Local AI lists the recipes it can launch on your hardware. The server then answers on http://localhost:8000/v1.

1 Download the weights

hf download turboderp/gemma-4-26B-A4B-it-exl3 \
  --revision 75510f9febfdea0fa22546a2725581cba6984fbb \
  --local-dir ~/models/gemma-4-26B-A4B-it-exl3-75510f9f

2 Write the server config

cat > gemma-4-26b-a4b.tabbyapi.128k.yml <<'EOF'
network: {host: 0.0.0.0, port: 5000, disable_auth: true, disable_fetch_requests: true, send_tracebacks: false, api_servers: [OAI], sse_ping_interval: 15}
logging: {log_prompt: false, log_generation_params: false, log_requests: false, log_chat_completion_requests: false}
model:
  model_dir: /workspace/models
  model_name: gemma-4-26B-A4B-it-exl3-75510f9f
  backend: exllamav3
  inline_model_loading: false
  max_seq_len: 131072
  cache_size: 264192
  cache_mode: Q4
  tensor_parallel: false
  gpu_split_auto: true
  autosplit_reserve: [256]
  chunk_size: 2048
  output_chunking: true
  max_batch_size: 2
  vision: true
  reasoning: true
  start_in_reasoning: auto
  tool_format: null
  template_vars_default: {enable_thinking: true}
draft_model: {}
memory: {sysmem_recurrent_cache: 4096, sysmem_kv_cache: 0, cuda_malloc_async: true}
EOF

3 Start the server

docker run --rm \
  --gpus all \
  -p 8000:5000 \
  --shm-size 8g \
  -v ~/models/gemma-4-26B-A4B-it-exl3-75510f9f:/workspace/models/gemma-4-26B-A4B-it-exl3-75510f9f:ro \
  -v $PWD/gemma-4-26b-a4b.tabbyapi.128k.yml:/app/config.yml:ro \
  --entrypoint /opt/venv/bin/python3 \
  ghcr.io/0xsero/tabbyapi-exl3@sha256:0f83e6198dc3be2561652d8df2525a7d1a69733e12fc8e25cbc5bc319a8a3ad1 \
  main.py \
  --config /app/config.yml

What it passed

✓ loadLoads and serves within an hour

✓ chatAnswers a plain question and stops on its own

✓ reasoningThinks separately and gets 17 × 23 right

✓ toolsCalls a tool with the right arguments and uses the result

✓ contextRecalls a code buried in a prompt that fills 85% of the window

✓ speedDecodes at 15 tok/s or more

Passed all six checks on a real RTX 5090 on Sep 26, 2026.

Details

Weights: turboderp/gemma-4-26B-A4B-it-exl3 @ 75510f9feb ›
Image: ghcr.io/0xsero/tabbyapi-exl3@sha256:0f83e6198dc3be2561652d8df2525a7d1a69733e12fc8e25cbc5bc319a8a3ad1
Engine profile: tabbyapi-exl3 ›
Recipe file: registry/recipes/nvidia/rtx-5090-32gb/gemma-4-26b-a4b.tabbyapi.128k.json ›
Model released: Mar 12, 2026
Tested: vast, RTX 5090