llama.cpp now supports various small OCR models that can run on low-end devices. These models are small enough to run on GPU with 4GB VRAM, and some of them can even run on CPU with decent performance. In this post, I will show you how to use these OCR models with llama.cpp 👇
Using OCR models with llama.cpp
An easy-to-follow guide on how to use OCR models with llama.cpp.
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Part 2 of my journey building a smart home! 🚀 In this part: > ESPHome & custom component > RF433 receiver & transmitter > Hassio custom addon
Just published a new article on my blog 🏃♂️ Building My Smart Home - Part 1: Plan, Idea & Home Assistant Check it out!
Kudos to Google and the llama.cpp team! 🤝 GGUF support for Gemma 270M right from day-0
Richy Mini and SmolLM3 are featured in Github's weekly news! 🚀 🚀
Gemma 3n has arrived in llama.cpp 👨🍳 🍰 Comes in 2 flavors: E2B and E4B (E means "effective/active parameters")
See you this Sunday at AI Plumbers conference: 2nd edition! 📍 Where: GLS Event Campus Berlin, Kastanienallee 82 | 10435 Berlin 👉 Register here: lu.ma/vqx423ct
✨✨ AIFoundry is bringing you the AI Plumbers Conference: 2nd edition — an open source meetup for low-level AI builders to dive deep into "the plumbing" of modern AI 📍 Where: GLS Event Campus Berlin, Kastanienallee 82 | 10435 Berlin 📅 When: June 15, 2025 👉 Register now: lu.ma/vqx423ct
Hugging Face Inference Endpoints now officially support deploying **vision** models via llama.cpp 👀 👀 Try it now: endpoints.huggingface.co/catalog
Real-time webcam demo with @huggingface.bsky.social SmolVLM and llama.cpp server. All running locally on a Macbook M3
Although we have A100, H200, M3 Ultra, etc Still can't match the power of that Casio FX 😆
llama.cpp vision support just got much better! 🚀 Traditionally, models with complicated chat template like MiniCPM-V or Gemma 3 requires a dedicated binary to run. Now, you can use all supported models via a "llama-mtmd-cli" 🔥 (Only Qwen2VL is not yet supported)
Finally have time to write a blog post about ggml-easy! 😂 ggml-easy is a header-only wrapper for GGML, simplifies development with a cleaner API, easy debugging utilities, and native safetensors loading ✨ Great for rapid prototyping!
Someone at Google definitely had a lot of fun making this 😆 And if you don't know, it's available in "Starter apps" section on AI Studio. The app is called "Gemini 95"
Telling LLM memory requirement WITHOUT a calculator? Just use your good old human brain 🧠 😎 Check out my 3‑step estimation 🚀
Google having a quite good sense of humor 😂 Joke aside, 1B model quantized to Q4 without performance degrading is sweet 🤏
Cooking a fun thing today, I can now load safetensors file directly to GGML without having to convert it to GGUF! Why? Because this allow me to do experiments faster, especially with models outside of llama.cpp 😆
No vibe coding. Just code it ✅ Visit my website --> ngxson.com
On Monday, the 24th, I'm proud to give a talk at sota's webinar. My main talk will last for an hour to deep dive into the current state of on-device LLMs, exploring their advantages, trade-offs, and limitations. The session will end with an Q&A, where you can ask me anything about this subject.
Had a fantastic chat today with Georgi Gerganov, the brilliant mind behind ggml, llama.cpp, and whisper.cpp! We discussed about: 🚀 The integration of vision models into llama.cpp 🚀 The challenges of maintaining a smooth UX/DX 🚀 The exciting future of llama.cpp Big things ahead - stay tuned!
Wanna try Gemma 3 vision with llama.cpp? There is a playground for that! More in 🧵
Day-zero Gemma 3 support in llama.cpp 🤯 👉 4 model sizes: 1B, 4B, 12B, 27B 👉 Vision capability (except for 1B) with bi-direction attention 👉 Context size: 32k (1B) and 128k (4B, 12B, 27B) 👉 +140 languages support (except for 1B) 👉 Day-zero support on many frameworks 🚀
Aya Vision is now the number one trending OCR model on Hugging Face 🚀 👉 Comes in 2 sizes, 8B and 32B 👉 Supports 32 languages 👉 Day-zero support with HF Transformers
Did you know? A number of 🤗 Hugging Face's blog posts now feature AI-created podcasts 🎙️ This offers an alternative way to absorb extensive and intricate articles 🔍
CogView-4 is out 🔥🚀 The SoTa OPEN text to image model by ZhipuAI Demo: huggingface.co/spaces/THUDM... ✨ 6B with Apache2.0 ✨ Supports Chinese & English Prompts by ANY length ✨ Generate Chinese characters within images ✨ Creates images at any resolution within a given range
Wondering how much RAM is needed to run a given GGUF? Try: npx @huggingface/gguf [model].gguf This also work with remote file, for example: npx @huggingface/gguf https: //huggingface.co/bartowski/Qwen_QwQ-32B-GGUF/resolve/main/Qwen_QwQ-32B-Q4_K_M.gguf
Apple unveils the M3 Ultra chip, support up to 512GB unified money, oops sorry, unified memory. Perfect for pro workflows and AI development 👀 Read more: www.apple.com/newsroom/202...
