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liquidai/lfm2-vl-1.6b-gguf - Free GGUF Download is indexed on GraySoft with repository links, GGUF quant files, and Hugging Face metadata. This page helps you pick a local model for guIDE or other runtimes. See related models in the same shard below.

Model Intelligence Sheet

liquidai/lfm2-vl-1.6b-gguf overview

LFM2-VL is a new generation of vision models developed by Liquid AI, specifically designed for edge AI and on-device deployment. It sets a new standard in terms of quality, speed, and memory efficiency. Find more details in the original model card: https://huggingface.co/LiquidAI/LFM2-VL-1.6B

ggufvisionvlmliquidlfm2lfm2-vledgellama.cppimage-text-to-textenbase_model:LiquidAI/LFM2-VL-1.6Bbase_model:quantized:LiquidAI/LFM2-VL-1.6Blicense:otherendpoints_compatibleregion:usconversational
liquidai/lfm2-vl-1.6b-gguf visual
Downloads
3,698
Likes
57
Pipeline
image-text-to-text
Library
Visibility
Public
Access
Open

Repository Files & Downloads

5 files detected
Direct downloads for all repository files
FileTypeQuantizationSizeLink
LFM2-VL-1.6B-F16.gguf GGUF F16 2.18 GB Download
LFM2-VL-1.6B-Q4_0.gguf GGUF 663.52 MB Download
LFM2-VL-1.6B-Q8_0.gguf GGUF 1.16 GB Download
mmproj-LFM2-VL-1.6B-F16.gguf GGUF F16 791.87 MB Download
mmproj-LFM2-VL-1.6B-Q8_0.gguf GGUF 537.98 MB Download

Model Details Live

Model Slug
liquidai/lfm2-vl-1.6b-gguf
Author
LiquidAI
Pipeline Task
image-text-to-text
Library
Created
2025-08-17
Last Modified
2025-12-05
Gated
No
Private
No
HF SHA
9b0f98f2dfbb18e850e45cee5d1a022a1896476d
License
other
Language
en
Base Model
LiquidAI/LFM2-VL-1.6B

Metadata Inspector

Normalized metadata (stored in metadata_json)
{
  "metadata": {},
  "card_data": {
    "license": "other",
    "license_name": "lfm1.0",
    "license_link": "LICENSE",
    "language": [
      "en"
    ],
    "pipeline_tag": "image-text-to-text",
    "tags": [
      "vision",
      "vlm",
      "liquid",
      "lfm2",
      "lfm2-vl",
      "edge",
      "llama.cpp",
      "gguf"
    ],
    "base_model": [
      "LiquidAI/LFM2-VL-1.6B"
    ],
    "frontmatter": {
      "license": "other",
      "license_name": "lfm1.0",
      "license_link": "LICENSE",
      "language": [
        "en"
      ],
      "pipeline_tag": "image-text-to-text",
      "tags": [
        "vision",
        "vlm",
        "liquid",
        "lfm2",
        "lfm2-vl",
        "edge",
        "llama.cpp",
        "gguf"
      ],
      "base_model": [
        "LiquidAI/LFM2-VL-1.6B"
      ]
    },
    "hero_image_url": "https://cdn-uploads.huggingface.co/production/uploads/61b8e2ba285851687028d395/2b08LKpev0DNEk6DlnWkY.png",
    "summary": "LFM2-VL is a new generation of vision models developed by Liquid AI, specifically designed for edge AI and on-device deployment. It sets a new standard in terms of quality, speed, and memory efficiency. Find more details in the original model card: https://huggingface.co/LiquidAI/LFM2-VL-1.6B",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nlicense: other\nlicense_name: lfm1.0\nlicense_link: LICENSE\nlanguage:\n- en\npipeline_tag: image-text-to-text\ntags:\n- vision\n- vlm\n- liquid\n- lfm2\n- lfm2-vl\n- edge\n- llama.cpp\n- gguf\nbase_model:\n- LiquidAI/LFM2-VL-1.6B\n---\n\n<center>\n<div style=\"text-align: center;\">\n  <img \n    src=\"https://cdn-uploads.huggingface.co/production/uploads/61b8e2ba285851687028d395/2b08LKpev0DNEk6DlnWkY.png\" \n    alt=\"Liquid AI\"\n    style=\"width: 100%; max-width: 100%; height: auto; display: inline-block; margin-bottom: 0.5em; margin-top: 0.5em;\"\n  />\n</div>\n<div style=\"display: flex; justify-content: center; gap: 0.5em;\">\n  <a href=\"https://playground.liquid.ai/chat\">\n<a href=\"https://playground.liquid.ai/\"><strong>Try LFM</strong></a> • <a href=\"https://docs.liquid.ai/lfm\"><strong>Documentation</strong></a> • <a href=\"https://leap.liquid.ai/\"><strong>LEAP</strong></a></a>\n</div>\n</center>\n\n# LFM2-VL-1.6B-GGUF\n\nLFM2-VL is a new generation of vision models developed by [Liquid AI](https://www.liquid.ai/), specifically designed for edge AI and on-device deployment. It sets a new standard in terms of quality, speed, and memory efficiency.\n\nFind more details in the original model card: https://huggingface.co/LiquidAI/LFM2-VL-1.6B\n\n## 🏃 How to run LFM2-VL\n\nExample usage with [llama.cpp](https://github.com/ggml-org/llama.cpp):\n\nfull precision (F16/F16):\n\n```\nllama-mtmd-cli -hf LiquidAI/LFM2-VL-1.6B-GGUF:F16\n```\n\nfastest inference (Q4_0/Q8_0):\n\n```\nllama-mtmd-cli -hf LiquidAI/LFM2-VL-1.6B-GGUF:Q4_0\n```",
    "related_quantizations": []
  },
  "tags": [
    "gguf",
    "vision",
    "vlm",
    "liquid",
    "lfm2",
    "lfm2-vl",
    "edge",
    "llama.cpp",
    "image-text-to-text",
    "en",
    "base_model:LiquidAI/LFM2-VL-1.6B",
    "base_model:quantized:LiquidAI/LFM2-VL-1.6B",
    "license:other",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
  "likes": 57,
  "downloads": 3698,
  "gated": false,
  "private": false,
  "last_modified": "2025-12-05T17:56:32.000Z",
  "created_at": "2025-08-17T08:50:50.000Z",
  "pipeline_tag": "image-text-to-text",
  "library_name": ""
}
Source payload excerpt (from Hugging Face API)
{
  "_id": "68a197ea49ccbeb434041d56",
  "id": "LiquidAI/LFM2-VL-1.6B-GGUF",
  "modelId": "LiquidAI/LFM2-VL-1.6B-GGUF",
  "sha": "9b0f98f2dfbb18e850e45cee5d1a022a1896476d",
  "createdAt": "2025-08-17T08:50:50.000Z",
  "lastModified": "2025-12-05T17:56:32.000Z",
  "author": "LiquidAI",
  "downloads": 3698,
  "likes": 57,
  "gated": false,
  "private": false,
  "pipeline_tag": "image-text-to-text",
  "library_name": "",
  "siblings_count": 10
}