LFM2.5-2.6B
설명
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.
능력 레이더
전용 과학 벤치마크가 없을 때 Science는 LLM Stats 과학 점수 또는 추론 능력에서 추정합니다.
랭킹
| 도메인 | #순위 | 점수 | 소스 |
|---|---|---|---|
| 에이전트형 역량 | 139 | 29.0 | LS |
벤치마크 점수 (LLM Stats)
(LLM Stats (zeroeval))Agents
Communication
General
Knowledge
Math
AA 평가 지수
(Artificial Analysis)AA 평가 데이터가 없습니다
LLM Stats 카테고리 점수
(LLM Stats (zeroeval))가격
속도
속도 데이터가 없습니다
공급자 가격 순위
프로바이더 데이터가 없습니다