LocalClaw/LLM/LFM2.5-VL-3B
Open-weight local LLM

LFM2.5-VL-3B

Catalogue summary: Liquid AI edge vision-language model with LFM2.5-2.6B backbone, SigLIP2 NaFlex vision encoder, 32K context, LFM 1.0 open weights and official GGUF plus llama.cpp and MLX runtime paths for local image chat and OCR.

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

8 GB catalogue minimum8 GB RAMQ4_K_M + mmprojVision tasks
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OllamaNot available for this model
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
3B multimodal
Minimum RAM
8 GB
Model size
2.3 GB
Quantization
Q4_K_M + mmproj

Can LFM2.5-VL-3B run locally?

LFM2.5-VL-3B has a catalogue minimum of 8 GB RAM with Q4_K_M + mmproj. Actual memory use and speed vary by context length, runtime, backend and system headroom.

Use lfm2.5-vl-3b 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-VL-3B-GGUFUpstream releasePaper or model cardLicence text
chatvisionspeededgemultimodalgeneral

Install path

01
Check RAM fitMinimum 8 GB RAM. Start with the Q4_K_M + mmproj quant.
02
Load the modelSearch lfm2.5-vl-3b in LM Studio.
03
Control locallyUse LocalClaw to manage models, agents, chat, channels and scheduled OpenClaw work.

Catalogue record

  • Family: lfm
  • Parameters: 3B multimodal
  • Recommended quantization: Q4_K_M + mmproj
  • Catalogue minimum RAM: 8 GB
  • Catalogue model size: 2.3 GB
  • Tags: chat, vision, speed, edge, multimodal, 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
  • vision
  • speed
  • edge
  • multimodal
  • general

Capability profile

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

speed
9
quality
7
coding
4
reasoning
6

Technical notes

Developer
Liquid AI
License
LFM 1.0
Context window
32,768 tokens
Architecture
LFM2.5 vision-language model with the LFM2.5-2.6B language backbone and a SigLIP2 NaFlex 400M vision encoder. Liquid AI lists native-resolution image processing, 32K context and official GGUF, ONNX and MLX export paths.

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.

LFM2.5-2.6B 2.7BLFM2.5-8B-A1B 8.3B (1.5B active)Gemma 4 E2B E2BBonsai 27B 27.3B (ternary / 1-bit)Gemma 4 E4B E4BMinistral 3 3B Instruct 3BGemma 4 12B 12BGemma 3 (4B) 4B

Where to go next