LFM2.5-2.6B
Описание
LFM2.5-2.6B is Liquid AI's open-weight 2.6B dense hybrid text→text model (LFM2 architecture) post-trained for on-device agentic workloads: planning, native tool calling, and multi-step tasks. ~2.69B parameters, trained on ~34T tokens, 128K context (131,072 tokens), 128K vocabulary. Always thinks before answering. Day-one support for Transformers, vLLM, SGLang, llama.cpp, MLX, and ONNX. Hugging Face: LiquidAI/LFM2.5-2.6B (+ Base). License: LFM Open License v1.0 (lfm1.0). Catalog benches include AIME25, LiveCodeBench v6, IFBench, Multi-IF, BFCL-v4, PinchBench, Claw-Eval, τ³-Banking 0.0567 (Liquid harness; scale differs from some AA τ³ rows), and aa-omniscience-index −29.50 (signed). No catalog id for ToolSandbox 77.83, BrowseComp+ (OpenClaw) 26.89, or IFStruct 85.49 — recorded here only. Sources: https://www.liquid.ai/blog/lfm2-5-2-6b · https://huggingface.co/LiquidAI/LFM2.5-2.6B. No official hosted provider row in this catalog (no sibling Liquid/OpenRouter provider pattern present); OpenRouter free route liquid/lfm-2.5-2.6b:free exists externally but was not added.
Радар способностей
Рейтинги
| Домен | #Место | Оценка | Источник |
|---|---|---|---|
| Рейтинг кодинга | 523 | 9.0 | AA |
| Общий рейтинг | 545 | 16.0 | AA |
| Наука | 448 | 29.0 | AA |
Оценки бенчмарков (LLM Stats)
(LLM Stats (zeroeval))Agents
Code
Instruction Following
Knowledge
Math
Reasoning
Tool Calling
Индексы оценки AA
(Artificial Analysis)Оценки категорий LLM Stats
(LLM Stats (zeroeval))Цены
Скорость
Рейтинг цен провайдеров
Нет данных провайдеров