LFM2-350M-4bit

Run locally Apple devices with Mirai

Type

Type

Local

From

From

LiquidAI

Quantisation

Quantisation

uint4

Precision

Precision

No

Size

Size

350M

Source

Source

Hugging Face Logo

This model is a 4-bit quantized version of LiquidAI/LFM2-350M converted to MLX format for efficient inference on Apple Silicon devices. LFM2-350M is a compact language model capable of text generation across multiple languages including English, Arabic, Chinese, French, German, Japanese, Korean, and Spanish. The model uses Liquid Foundation Model architecture optimized for edge deployment while maintaining strong performance characteristics.

1
Choose framework
2
Run the following command to install Mirai SDK
SPMhttps://github.com/trymirai/uzu-swift
3
Set Mirai API keyGet API Key
4
Apply code
Loading...

LFM2-350M-4bit

Run locally Apple devices with Mirai

Type

Local

From

LiquidAI

Quantisation

uint4

Precision

float16

Size

350M

Source

Hugging Face Logo

This model is a 4-bit quantized version of LiquidAI/LFM2-350M converted to MLX format for efficient inference on Apple Silicon devices. LFM2-350M is a compact language model capable of text generation across multiple languages including English, Arabic, Chinese, French, German, Japanese, Korean, and Spanish. The model uses Liquid Foundation Model architecture optimized for edge deployment while maintaining strong performance characteristics.

1
Choose framework
2
Run the following command to install Mirai SDK
SPMhttps://github.com/trymirai/uzu-swift
3
Set Mirai API keyGet API Key
4
Apply code
Loading...