Qt 6.12 LTS released with QML hot reloading
Tools & releasesRelated articles
Fine-tuning: adapting a model to your data with LoRA and QLoRA
When prompts and RAG aren't enough: you adapt the model's weights to your data. LoRA, QLoRA, dataset preparation, and local tools (LLaMA-Factory, Unsloth, MLX) on a single consumer GPU.
Ling 3.1 Flash: 560B open-weight with MIT license and 1M context — what changes if you have 24GB of VRAM
Ling 3.1 Flash ships 560B open-weight parameters under an MIT license with 1M context. It won't fit in 24GB of VRAM, but the quantizations, 25B active MoE and the real numbers change the calculation.
Qwen3.8-27B vs Gemma 4 26B A4B: the new frontier at 24GB
A 27.8B dense or a MoE with 3.8B active, a 262K context against 256K and almost the same weight at Q4_K_M: two opposite ways of putting big-model quality on a 24GB consumer card. Which is faster, which goes deeper, and when to pick one over the other.
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