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

Models

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Name

5 models

Size

Context

Input

LFM2-350M-GGUF:latest

229MB · 32K context window · Text · 1 week ago

LFM2-350M-GGUF:latest

229MB

32K

Text

LFM2-350M-GGUF:Q4_0

379MB · 125K context window · Text · 6 days ago

LFM2-350M-GGUF:Q4_0

379MB

125K

Text

LFM2-350M-GGUF:Q5_K_M

260MB · 125K context window · Text · 6 days ago

LFM2-350M-GGUF:Q5_K_M

260MB

125K

Text

LFM2-350M-GGUF:Q6_K

293MB · 125K context window · Text · 6 days ago

LFM2-350M-GGUF:Q6_K

293MB

125K

Text

LFM2-350M-GGUF:Q8_0

379MB · 125K context window · Text · 6 days ago

LFM2-350M-GGUF:Q8_0

379MB

125K

Text

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

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# 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
```

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