JustVugg (@justvugg) header
JustVugg (@justvugg) profile picture

Founder of Colibrì a tiny engine for immense model for affordable hardware. 🐦 https://teapawt.org/t.co/QcE2sGOMBC

Joined January 2016
Photo by JustVugg (@justvugg)Photo by JustVugg (@justvugg)Photo by JustVugg (@justvugg)Photo by JustVugg (@justvugg)Photo by JustVugg (@justvugg)Photo by JustVugg (@justvugg)Photo by JustVugg (@justvugg)Photo by JustVugg (@justvugg)Photo by JustVugg (@justvugg)Photo by JustVugg (@justvugg)
colibri v2.1.0: huge open models on your own machine. CPU, Vulkan, CUDA. Every engine runs GGUFs natively, @UnslothAI's included. New: @MistralAI Large 4 (1T), @AIatMeta Muse Spark Open, @Recursive_SI Flint, @liquidai LFM3-VL. 256k contexts, new chat UI. github.com/JustVugg/colibri/…
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Thanks @fahdmirza for the tutorial!Cool video!
🐦 Colibri 2.1 is out, and I tested it hands-on ⚡ Big open models on the machine you already have, now with GGUF support and a new chat UI 🔹 One-step install, Qwen3.6-35B-A3B at 88.6 tok/s on my RTX A6000 🔹 Run a GGUF file as published, no conversion needed (Flint) 🔹 New chat UI with a live monitor and profiling page 🔹 System One decisions and the expert map 🔹 Tried a 91 GB DeepSeek V4 Flash model too, and shared what actually happened 🎬 Watch the full video below 👇 youtu.be/EdpT617DTRI?si=U2sQ…
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JustVugg retweeted
🐦 Colibri 2.1 is out, and I tested it hands-on ⚡ Big open models on the machine you already have, now with GGUF support and a new chat UI 🔹 One-step install, Qwen3.6-35B-A3B at 88.6 tok/s on my RTX A6000 🔹 Run a GGUF file as published, no conversion needed (Flint) 🔹 New chat UI with a live monitor and profiling page 🔹 System One decisions and the expert map 🔹 Tried a 91 GB DeepSeek V4 Flash model too, and shared what actually happened 🎬 Watch the full video below 👇 youtu.be/EdpT617DTRI?si=U2sQ…
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If you like my work on Colibri and want to support the project, buy me a coffee! Your support helps me keep optimizing the engine and dedicating more time to development. buymeacoffee.com/justvugg
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Le Chonk runs on colibri. @MistralAI Large 4, 1T parameters, from @UnslothAI's GGUFs: text, pictures, reasoning and tools, on one 24 GB card with the experts read from NVMe. 1.34-1.36 tok/s. colibri v2.1.0: github.com/JustVugg/colibri
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colibri v2.1.0 is out. Huge open models on the machine you already have: on the CPU, on any GPU through Vulkan, on NVIDIA cards through CUDA. Pure C. 387 pull requests since 2.0, 208 of them from 35 contributors. Thank you all. What is new, measured:
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Also in 2.1: - Qwen3.6's MTP head (Q36_MTP=1), up to 120 tok/s on CUDA - KV caches in float16: GLM-5.3 at 131k tokens in 11.9 GB instead of 23.9 - SSSE3 kernels for CPUs without AVX2, built from source - OLMoE prompts 2.5x faster on the CPU - security fixes
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Release notes and downloads: github.com/JustVugg/colibri/… One step to start: download, then START-HERE. Free and open source.
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We are working hard for optimize colibrì with the community. This is Qwen 3.6 35b.
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@mimihuhude is the best to work on it! Great support from the start!
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This is just the beginning Lumabri with Colibrì! Thank you @mfranz_on
You can chat live on 4× Raspberry Pi 5 4GB with weights split over Ethernet at 20 tok/s No GPU, no cloud just the power of Colibri @justvugg Local AI is never be so cool.
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You can chat live on 4× Raspberry Pi 5 4GB with weights split over Ethernet at 20 tok/s No GPU, no cloud just the power of Colibri @justvugg Local AI is never be so cool.
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