Tag
#llama-cpp
6 Artikel
Ternary Bonsai 2 27B fact check: 5.9 GB, 262K context, and the runtime catch
Ternary Bonsai 2 27B: 5.95 GB GGUF needs PrismML's fork, MLX requires a bundled loader, and Mac RAM and vision limits need checking.
Ternary Bonsai 2 27B im Faktencheck: 5,9 GB, 262K Kontext – aber mit Runtime-Haken
Ternary Bonsai 2 27B: 5,95-GB-GGUF, PrismML-Fork statt Standard-llama.cpp, MLX-Loader, RAM-Grenzen und reproduzierbare Mac-Tests.
Qwen3.8-Flash im Faktencheck: Preise, 1M Kontext, Benchmarks und Flash-Next erklärt
Qwen3.8-Flash geprüft: aktuelle Preise, 1M Kontext, API-Funktionen, Benchmarks und der wichtige Unterschied zu Qwen3.8-Flash-Next.
Qwen3.8-Flash Explained: Pricing, 1M Context, Benchmarks, and Flash-Next
A source-checked guide to Qwen3.8-Flash pricing, its 1M context window, API features, benchmarks, and the separate Flash-Next open-weight release.
Apple Intelligence Local AI: On-Device Models, PCC and Apple Silicon
Which Apple Intelligence requests stay on your Mac, which go to Private Cloud Compute or ChatGPT, and which need an M3 with 12GB.
Apple Intelligence: Lokale KI, Foundation Models und Private Cloud Compute
Apple Intelligence nutzt ein ~3B-On-Device-Modell; AFM 3 Core Advanced hat 20 Mrd. Parameter, davon 1–4 Mrd. aktiv. Komplexes geht an Private Cloud.