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LFM2.5-2.6B

Liquid AI開源權重LFM Open License v1.0 · 商用許可

描述

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.

發布日期
2026-08-04
參數規模
2.7B
上下文長度
66K
支援模態
text

能力雷達圖

10
general
9
coding
56
reasoning
31
science
30
agents
0
multimodal

排行榜排名

領域#排名分數來源
程式碼能力榜523
9.0
AA
通用能力榜545
16.0
AA
科學能力448
29.0
AA

基準測試分數 (LLM Stats)

(LLM Stats (zeroeval))

Agents

Tau3 Banking5.7%自報

Code

PinchBench68.2%自報
Claw-Eval62.8%自報

Instruction Following

IFBench59.2%自報

Knowledge

AA-Omniscience Index-29.50 / 200自報

Math

AIME 202551.9%自報

Reasoning

Multi-IF80.1%自報
LiveCodeBench v659.4%自報

Tool Calling

BFCL-V456.9%自報

AA 評測指數

(Artificial Analysis)
Intelligence Index(Artificial Analysis)
11.0
Coding Index(Artificial Analysis)
7.7
Gpqa(NYU + Cohere + Anthropic (2023))
0.6
Scicode(UIUC + Argonne National Lab (2024))
0.1
Tau Banking
0.1
Hle(Center for AI Safety + Scale AI (2025))
0.1
Lcr(Artificial Analysis)
0.1
Terminalbench V2 1
0.0

LLM Stats 分類評分

(LLM Stats (zeroeval))
Language
80
Structured Output
80
Communication
80
Instruction Following
70
Code
70
General
60
Math
50
Reasoning
50
Agents
50
Tool Calling
30

定價

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速度

Tokens/秒0.0
首Token延遲0.00s
首回答延遲0.00s

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