This is an LFM2.5-8B-A1B fine-tune, produced through P-E-W’s Heretic (v1.4.0) abliteration engine with Self-Organizing Maps & Magnitude-Preserving Orthogonal Ablation enabled at the request of Redvodk. LFM2.5 is a new family of hybrid models designed for on-device deployment. It builds on the LFM2 architecture with extended pre-training and reinforcement learning. — On-device personal assistant: Designed to power real-life applications, chaining tool calls, and following complex instructions on all devices. — Compressed performance: Competitive with much larger dense and MoE models on instruction following and agentic tasks. — Unmatched throughput: Fastest in its size class on both CPU and GPU inference, with day-one support for llama.cpp, MLX, vLLM, and SGLang. AA-Omniscience Index (higher is better) rewards correct answers and penalizes hallucinations. Scores range from -100 to 100. See more results on Artificial Analysis. LFM2.5-8B-A1B is a general-purpose text-only model with the following features: — Total parameters: 8.3B — Active parameters: 1.5B — Number of layers: 24 (18 double-gated LIV conv + 6 GQA) — Training budget: 38 trillion tokens — Context length: 128,000 -…
Модальности:
Генерация текста
Области применения:
Диалог / чат
Задача: Генерация текста
Автор: MuXodious
Теги: lfm2_moe, liquid, lfm2.5, edge, heretic, uncensored, decensored, abliterated
Лайков: 3 | Загрузок: 76
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
