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Original rewrites on React, Node.js, TypeScript and AI — practical notes from the same engineering practice behind our operator software. Article bodies are in English.
Tagged: gguf
Agents-A1: A 35B Model Built for Long-Horizon Agent Work
Agents-A1 is a 35B fine-tune that scales agent horizon, not parameters. See how it scores on SEAL-0, IFBench and BrowseComp, and where to grab GGUF builds.
1235 wordsRead articleDoubling Qwen3.8-Flash-Next Decode Speed with MTP on RTX GPUs
Learn how to build a llama.cpp fork with MTP speculative decoding and the right flags to roughly double Qwen3.8-Flash-Next generation speed on multi-GPU RTX rigs.
1248 wordsRead articleRunning Local Coding Models on a 12GB RTX 3060 With a Model Scheduler
How to pick models that fit a 12GB GPU and why switching between GGUF and SafeTensors backends behind one OpenAI-compatible endpoint turns into a scheduling problem.
1256 wordsRead articleRun Qwen3.8-Flash-Next on a 64GB MacBook: Files, Quants and llama.cpp Flags
Run a 180B-parameter MoE on an M4 Max or M1 Max with no CPU offload: which GGUF to pick, how the n-gram table is split into shards, and the exact llama-server command.
2060 wordsRead article
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