Mellum by JetBrains
Fast LLMs for low-latency and high-performance workflows
Mellum by JetBrains launched on June 20, 2026 with 197 votes, #147 of 22,647 launches that month and more than 99% of that year's launches.
What it does
Meet Mellum, a family of fast language models, including a next-generation model for ultra-low-latency and high-performance inference.
Explore Mellum, a family of fast language models, including a next-generation model for ultra-low-latency and high-performance inference.
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I built a tiny LLM to demystify how language models workApr 2026 · github.com · ▲915Built a ~9M param LLM from scratch to understand how they actually work. Vanilla transformer, 60K synthetic conversations, ~130 lines of PyTorch. Trains in 5 min on a free Colab T4. The fish thinks the meaning of life is food. Fork it and swap the personality for your own character.
Tiny-vLLM – high performance LLM inference engine in C++ and CUDAMay 2026 · github.com · ▲205Build your own high performance LLM inference engine in C++ and CUDA - a smaller version of vLLM - jmaczan/tiny-vllm
Speeding up LLM inference 2x times (possibly)2024 · asciinema.org · ▲419Here's a project I've been working on for the last few months. It's a new (I think) algorithm, that allows to adjust smoothly - and in real time - how many calculations you'd like to do during inference of an LLM model. It seems that it's possible to do just 20-25% of weight multiplications instead of all of them, and still get good inference results. I implemented it to run on M1/M2/M3 GPU. The mmul approximation itself can be pushed to run 2x fast before the quality of output collapses. The inference speed is just a bit faster than Llama.cpp's, because the rest of implementation…

- TLTiny LLMs – Browser-based private AI models for a wide array of tasks2023 · tinyllms.vercel.app · ▲142

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