--- title: POCKET-26B vs Bonsai · CPU (Gemma4-based) emoji: ⚔️ colorFrom: green colorTo: yellow sdk: docker app_port: 7860 pinned: true license: apache-2.0 models: - google/gemma-4-26B-A4B-it - FINAL-Bench/POCKET-26B-GGUF - prism-ml/Bonsai-27B-gguf short_description: BONSAI vs POCKET — 26B Gemma4 MoE out-runs a 27B on CPU --- # BONSAI vs POCKET-26B · live A/B on a CPU A live demo of **POCKET-26B** (Q4_K_M, 17 GB) answering on an **upgraded CPU** Space — **no GPU** — with a second tab that races it **head-to-head against Bonsai-27B** (the most-downloaded 1-bit on-device model) on the same box, same stock `llama.cpp`. Bonsai answers first, then POCKET — watch the tok/s. POCKET-26B is the **Gemma4 sibling** of the POCKET family: built from Google's [Gemma4-26B-A4B](https://huggingface.co/google/gemma-4-26B-A4B-it) (Apache-2.0), a sparse Mixture-of-Experts model (25.2B total, ~4B active/token). It is **unpruned** and keeps **GPQA-Diamond 67%** — on par with the full base — via Korean-imatrix calibration and mixed-precision quantization. Runs on stock `llama.cpp`: on a 12 GB phone, and on a PC with no graphics card. - 🧠 [Gemma4-26B-A4B (base)](https://huggingface.co/google/gemma-4-26B-A4B-it) - 📦 [POCKET-26B-GGUF](https://huggingface.co/FINAL-Bench/POCKET-26B-GGUF) · [POCKET-35B (Qwen sibling)](https://huggingface.co/FINAL-Bench/POCKET-35B-GGUF) - 📚 [POCKET collection](https://huggingface.co/collections/FINAL-Bench/pocket-models-6a618ee5d23eafb7e185a5c6) Built with FastAPI + prebuilt `llama.cpp`. Apache-2.0 · a VIDRAFT model family. This Space runs on CPU hardware only. --- ## 🧩 The POCKET Family — On-device AI by VIDRAFT *Big models, small hardware. No GPU, no cloud.* **Models** - 📦 [POCKET-35B-GGUF](https://huggingface.co/FINAL-Bench/POCKET-35B-GGUF) — flagship, PC / server, no GPU - 📦 [POCKET-26B-GGUF](https://huggingface.co/FINAL-Bench/POCKET-26B-GGUF) — compact 26B - 🇰🇷 [POCKET-KR-GGUF](https://huggingface.co/FINAL-Bench/POCKET-KR-GGUF) — Korean, Android - 🍎 [POCKET-KR-MLX](https://huggingface.co/FINAL-Bench/POCKET-KR-MLX) — Korean, iPhone / Mac - 🌍 [POCKET-EN-GGUF](https://huggingface.co/FINAL-Bench/POCKET-EN-GGUF) — English, phone / PC - 🖼️ [POCKET-Image-Zimage](https://huggingface.co/FINAL-Bench/POCKET-Image-Zimage) — character-perfect text in any image **Demos & tools (Spaces)** - 🎨 [POCKET-Image Studio](https://huggingface.co/spaces/FINAL-Bench/POCKET-Image-Studio) — text-in-image, generate in-page - 🖥️ [POCKET-35B-CPU](https://huggingface.co/spaces/FINAL-Bench/POCKET-35B-CPU) — 35B answering on a CPU - 🖥️ [POCKET-26B-CPU](https://huggingface.co/spaces/FINAL-Bench/POCKET-26B-CPU) — 26B on a CPU 📚 [Full POCKET collection](https://huggingface.co/collections/FINAL-Bench/pocket-models-6a618ee5d23eafb7e185a5c6)