Qwythos-27B-v1: the long-awaited 27B
Empero released Qwythos-27B-v1, an open-weights reasoning model under Apache-2.0, built on Qwen3.5-27B with native multi-token prediction, full vision, and a 1,048,576-token context via YaRN. The 27B …
Empero released Qwythos-27B-v1, an open-weights reasoning model under Apache-2.0, built on Qwen3.5-27B with native multi-token prediction, full vision, and a 1,048,576-token context via YaRN. The 27B …
A new study from arXiv introduces AdaRoPE, a method that assigns learnable rotation frequencies and attention scaling factors to each attention head in Transformers, outperforming standard Rotary Posi…
Empero AI released Qwythos-9B-v2, an update to its large language model that eliminates looping behavior during greedy decoding, reducing the looping rate from 6.7% to 0% using a technique called Fina…
A developer spent two weeks optimizing a homelab with four RTX 3090s (96GB VRAM) for local LLM inference, achieving improvements like 40% throughput gain and 4x VRAM savings, but ultimately found that…
Empero AI released Qwythos-9B-Claude-Mythos-5-1M, a 9-billion-parameter open-weights reasoning model distilled from Claude Mythos 5, featuring a 1-million-token context window, native tool use, and a …