GGUF format model's from HuggingFace, Base model: https://huggingface.co/LiquidAI/LFM2-350M-GGUF

Updated 1 week ago

1 week ago

11046067b993 · 379MB ·

model

archlfm2

parameters354M

quantizationQ8_0

379MB

license

LICENSE TEXT LFM Open License v1.0 TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 1. D

11kB

template

{{- range .Messages }}<|im_start|>{{ .Role }} {{ .Content }}<|im_end|> {{ end }}<|im_start|>assistan

105B

license

LICENSE TEXT LFM Open License v1.0 TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 1. D

11kB

params

{ "stop": [ "<|im_start|>", "<|im_end|>" ] }

59B

Readme

Liquid Liquid Playground Playground

LFM2-350M-GGUF

LFM2 is a new generation of hybrid 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/LFM2-350M

🏃 How to run LFM2

Example usage with llama.cpp:

llama-cli -hf LiquidAI/LFM2-350M-GGUF

<a href="https://playground.liquid.ai/chat">
<svg width="114.8" height="20" viewBox="0 0 1300 200" xmlns="http://www.w3.org/2000/svg" role="img" aria-label="Liquid Playground" style="margin-bottom: 1em;">
  <title>Liquid: Playground</title>
  <g>
    <rect fill="#fff" width="600" height="200"></rect>
    <rect fill="url(#x)" x="600" width="700" height="200"></rect>
  </g>
  <g transform="translate(20, 30) scale(0.4, 0.4)">
    <path d="M172.314 129.313L172.219 129.367L206.125 188.18C210.671 195.154 213.324 203.457 213.324 212.382C213.324 220.834 210.956 228.739 206.839 235.479L275.924 213.178L167.853 33.6L141.827 76.9614L172.314 129.313Z" fill="black"/>
    <path d="M114.217 302.4L168.492 257.003C168.447 257.003 168.397 257.003 168.352 257.003C143.515 257.003 123.385 237.027 123.385 212.387C123.385 203.487 126.023 195.204 130.55 188.24L162.621 132.503L135.966 86.7327L60.0762 213.183L114.127 302.4H114.217Z" fill="black"/>
    <path d="M191.435 250.681C191.435 250.681 191.43 250.681 191.425 250.686L129.71 302.4H221.294L267.71 226.593L191.435 250.686V250.681Z" fill="black"/>
  </g>
  <g aria-hidden="true" fill="#fff" text-anchor="start" font-family="Verdana,DejaVu Sans,sans-serif" font-size="110">
    <text x="200" y="148" textLength="329" fill="#000" opacity="0.1">Liquid</text>
    <text x="190" y="138" textLength="329" fill="#000">Liquid</text>
    <text x="655" y="148" textLength="619" fill="#000" opacity="0.1">Playground</text>
    <text x="645" y="138" textLength="619">Playground</text>
  </g>
  
  <linearGradient id="x" x1="0%" y1="0%" x2="100%" y2="0%">
    <stop offset="0%" style="stop-color:#000000"></stop>
    <stop offset="100%" style="stop-color:#000000"></stop>
  </linearGradient>
</svg>
</a>
</center>

# LFM2-350M-GGUF

LFM2 is a new generation of hybrid 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.

Find more details in the original model card: https://huggingface.co/LiquidAI/LFM2-350M

## 🏃 How to run LFM2

Example usage with [llama.cpp](https://github.com/ggml-org/llama.cpp):

```
llama-cli -hf LiquidAI/LFM2-350M-GGUF
```

Paste, drop or click to upload images (.png, .jpeg, .jpg, .svg, .gif)