Spaces:
Running on CPU Upgrade
Running on CPU Upgrade
| 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. | |
| <!-- POCKET-FAMILY --> | |
| --- | |
| ## 🧩 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) | |
| <!-- /POCKET-FAMILY --> | |