LocalClaw/LLM/LFM2.5-2.6B
Open-weight local LLM

LFM2.5-2.6B

Catalogue summary: Liquid AI compact hybrid model with 128K context, LFM 1.0 open weights, official GGUF, ONNX and MLX artifacts, and practical llama.cpp / LM Studio paths for 8GB-class local machines.

Repository editorial metadata; verify comparative claims in the linked upstream material.

8 GB catalogue minimum8 GB RAMQ4_K_MCoding assistant
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Open on Hugging FaceFiles, licence and available downloadsOpen llama.cpp setupAdvanced option: opens the model filesUse with LocalClawOptional workspace after the model is installed

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Parameters
2.7B
Minimum RAM
8 GB
Model size
1.8 GB
Quantization
Q4_K_M

Can LFM2.5-2.6B run locally?

LFM2.5-2.6B has a catalogue minimum of 8 GB RAM with Q4_K_M. Actual memory use and speed vary by context length, runtime, backend and system headroom.

Use lfm2.5-2.6b as the catalogue search term in a compatible runtime, and confirm the available format on the upstream repository before download.

Model sourcePublic GGUF repository (verified 2026-09-07): LiquidAI/LFM2.5-2.6B-GGUFUpstream releasePaper or model cardLicence text
chatcodereasoninglightspeedlong-contextgeneral

Install path

01
Check RAM fitMinimum 8 GB RAM. Start with the Q4_K_M quant.
02
Load the modelSearch lfm2.5-2.6b in LM Studio.
03
Control locallyUse LocalClaw to manage models, agents, chat, channels and scheduled OpenClaw work.

Catalogue record

  • Family: lfm
  • Parameters: 2.7B
  • Recommended quantization: Q4_K_M
  • Catalogue minimum RAM: 8 GB
  • Catalogue model size: 1.8 GB
  • Tags: chat, code, reasoning, light, speed, long-context, general

Practical limits

  • Catalogue RAM is a minimum estimate, not a guarantee for every context length or runtime.
  • Speed and memory use vary by quantization, backend, context length and system headroom.
  • Verify architecture, licence and usage restrictions in the linked upstream material before deployment.

Catalogue tags

  • chat
  • code
  • reasoning
  • light
  • speed
  • long-context

Capability profile

Repository catalogue ratings used by LocalClaw's editorial rubric. They are not a standardized third-party benchmark.

speed
9
quality
7
coding
7
reasoning
7

Technical notes

Developer
Liquid AI
License
LFM 1.0
Context window
128,000 tokens
Architecture
Hybrid Liquid Foundation Model with 2.7B dense parameters, built on Liquid AI LFM2 layers and packaged with official GGUF, ONNX and MLX runtime artifacts.

This model fits these next steps

Hardware fit is based on LocalClaw's RAM tier, model size and quantization metadata. Always leave memory headroom for your OS and runtime.

Entry laptop fitMacBook Air 8GBMore headroomMac mini M4 16GBAll compatible picks8GB RAM guide

Related catalogue entries

Linked mechanically by family, shared tags and nearby RAM tier; this is not a quality ranking.

LFM2.5-8B-A1B 8.3B (1.5B active)LFM2.5-VL-3B 3B multimodalLing-3.0-tiny 7.9B (1.3B active, MoE)K2-Horizon-0.9B 0.9BSpark-X2.5-1.7B 1.7BGranite 4.1 (3B) 3BMiniCPM5 1B 1BMiniCPM5 2B 2B

Where to go next