oki608900/LFM2.5-350M-GGUF overview
<div align="center" <img src="https://cdn uploads.huggingface.co/production/uploads/61b8e2ba285851687028d395/2b08LKpev0DNEk6DlnWkY.png" alt="Liquid AI" style="…
Runs locally from ~209.2 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| LFM2.5-350M-BF16.gguf | GGUF | BF16 | 678.5 MB | Download |
| LFM2.5-350M-F16.gguf | GGUF | F16 | 678.5 MB | Download |
| LFM2.5-350M-Q4_0.gguf | GGUF | Q4_0 | 209.2 MB | Download |
| LFM2.5-350M-Q4_K_M.gguf | GGUF | Q4_K_M | 218.7 MB | Download |
| LFM2.5-350M-Q5_K_M.gguf | GGUF | Q5_K_M | 248.3 MB | Download |
| LFM2.5-350M-Q6_K.gguf | GGUF | Q6_K | 279.8 MB | Download |
| LFM2.5-350M-Q8_0.gguf | GGUF | Q8_0 | 361.7 MB | Download |
Model Details
| Model ID | oki608900/LFM2.5-350M-GGUF |
|---|---|
| Author | oki608900 |
| Pipeline | text-generation |
| License | other |
| Base model | LiquidAI/LFM2.5-350M |
| Last modified | 2026-07-23T21:15:20.000Z |
Model README
---
license: other
license_name: lfm1.0
license_link: LICENSE
language:
- en
- ar
- zh
- fr
- de
- ja
- ko
- es
pipeline_tag: text-generation
tags:
- liquid
- lfm2
- edge
- llama.cpp
- gguf
base_model:
- LiquidAI/LFM2.5-350M
---
<div align="center">
<img
src="https://cdn-uploads.huggingface.co/production/uploads/61b8e2ba285851687028d395/2b08LKpev0DNEk6DlnWkY.png"
alt="Liquid AI"
style="width: 100%; max-width: 100%; height: auto; display: inline-block; margin-bottom: 0.5em; margin-top: 0.5em;"
/>
<div style="display: flex; justify-content: center; gap: 0.5em; margin-bottom: 1em;">
<a href="https://playground.liquid.ai/"><strong>Try LFM</strong></a> •
<a href="https://docs.liquid.ai/lfm/getting-started/welcome"><strong>Docs</strong></a> •
<a href="https://leap.liquid.ai/"><strong>LEAP</strong></a> •
<a href="https://discord.com/invite/liquid-ai"><strong>Discord</strong></a>
</div>
</div>
<br>
LFM2.5-350M-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/LFM2.5-350M
🏃 How to run LFM2
Example usage with llama.cpp:
llama-cli -hf LiquidAI/LFM2.5-350M-GGUFRun oki608900/LFM2.5-350M-GGUF with guIDE
Download guIDE — the AI-native code editor with local LLM inference and 69 built-in tools.
Source: Hugging Face · Compare models