NInfer NVFP4 artifact of DavidAU/Qwen3.8-27B-Cold-Fusion-GAIN-V1.1, calibrated with a direct agentic coding dataset mix. The goal of this build is local agentic coding, tool calling, repository work and long agent loops on NVIDIA Blackwell GPUs. Direct agentic calibration was built from three pinned datasets: For larger context windows, —kv-capacity auto is recommended when VRAM is tight: On an RTX PRO 4000 Blackwell SFF 24 GB, a fixed 123904 INT8 KV capacity was slightly above the available runtime reservation for this artifact, while a smaller KV pool works. — This repository contains a NInfer artifact, not a standard Transformers checkpoint. — The build is targeted at NVIDIA Blackwell hardware and agentic coding workloads. — Calibration is post-training quantization calibration; the source model was not fine-tuned on the calibration samples by this build process. — Performance and quality should be evaluated against the original model and other NInfer artifacts for the intended workload. — Base model: DavidAU/Qwen3.8-27B-Cold-Fusion-GAIN-V1.1 — Runtime / artifact format: NInfer — Calibration datasets: NVIDIA Open-SWE-Traces, Thoughtworks Agentic Coding Trajectories, Nebius…
Модальности:
Генерация текста
Области применения:
Генерация кода
Задача: Генерация текста
Автор: Schestex
Теги: ninfer, qwen3_8, qwen3.8, nvfp4, blackwell, coding, agentic-coding, tool-calling
Лайков: 3 | Загрузок: 1,738
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
