> No matter your GPU. No matter your RAM. With ~4.5 GB of VRAM or unified memory free, you can run your own > private, offline coding agent right now. 🚀 v2 is the big agentic upgrade — it reads, reasons, uses tools, > and works through multi-step technical tasks before it acts. 🧠🛠️ All local, all yours, no API, no cloud. → Roughly 3.5× higher than the base model on technical-agentic tasks. 🎯 Want the full story — why telecom, how the two models fail differently, the honest caveats, and the trade-offs (including general knowledge)? It’s all broken down further below. 👇 First, a huge thank-you for all the data and help you’ve shared. 🙏 The bittersweet part: none of us saw it coming that Fable 5 would be retired — and only my own dataset holds Fable 5’s genuine, self-authored chain-of-thought. So for every dataset the community contributed, I rebuilt the missing reasoning from scratch with Opus 4.8 (xhigh). It may diverge from the original Fable 5 traces, but it was the only workable path — and the improvement turned out really, really huge (it nearly launched me out of my chair 😄). The benchmark numbers are right above. 👆 Second — I’ve tried to reply to every community comment, and…
Модальности:
Генерация текста
Области применения:
Генерация кода Логика и рассуждение Вызов функций (Tool use)
Задача: Генерация текста
Автор: eadx
Теги: gguf, gemma4, coding, agentic, terminal, tool-use, reasoning, thinking
Лайков: 4 | Загрузок: 337
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
