mlx-community/LFM2-350M-4bit

Name: mlx-community/LFM2-350M-4bit
Author: LiquidAI

Run locally on Apple devices with Mirai

Type: local
From: LiquidAI
Quantization: MLX 4-bit
Parameters: 350M
Size: 195.0 MB
Source

A 4-bit quantized version of LiquidAI's LFM2-350M, converted to Apple's MLX format for efficient on-device inference on Apple Silicon hardware. This community conversion was produced using `mlx-lm` v0.26.0.

Origin & Architecture

LFM2-350M is part of Liquid AI's second-generation Liquid Foundation Model family, purpose-built for edge deployment. At just 350 million parameters — further compressed via 4-bit quantization — this variant is exceptionally lightweight, making it well-suited for resource-constrained environments like laptops, phones, and embedded applications.

Multilingual Text Generation

The model supports text generation across eight languages: English, Arabic, Chinese, French, German, Japanese, Korean, and Spanish. This broad multilingual coverage in such a compact model makes it a compelling option for lightweight, polyglot applications.

Key Highlights

Ultra-compact footprint: 350M parameters with 4-bit quantization yields a very small memory and storage profile.
MLX-native: Optimized for Apple's MLX framework, enabling fast inference on M-series chips with minimal setup.
Edge-first design: Part of Liquid AI's "edge" model line, balancing capability with extreme efficiency.
Chat-ready: Includes a chat template, supporting conversational use out of the box.

Use Cases

This model is ideal for developers building on-device assistants, lightweight multilingual text tools, or prototyping generative applications where low latency and minimal resource consumption are priorities. Its small size also makes it a practical choice for experimentation and rapid iteration on Apple Silicon machines.

Provenance

Base model: LiquidAI/LFM2-350M
Converted by: mlx-community
License: LFM 1.0 (custom license from Liquid AI)

Explore all local models

Choose framework

Run the following command to install Mirai SDK

spm https://github.com/trymirai/uzu.git

Apply code

1import Uzu23public func runChat() async throws {4    let engineConfig = EngineConfig.create()5    let engine = try await Engine.create(config: engineConfig)67    guard let model = try await engine.model(identifier: "mlx-community/LFM2-350M-4bit") else {8        return9    }10    for try await update in try await engine.download(model: model).iterator() {11        print("Download progress: \(update.progress())")12    }1314    let messages = [15        ChatMessage.system().withText(text: "You are a helpful assistant"),16        ChatMessage.user().withText(text: "Tell me a short, funny story about a robot")17    ]18    let session = try await engine.chat(model: model, config: .create())19    let stream = await session.replyWithStream(input: messages, config: .create())20    var message: ChatMessage? = nil21    for try await update in stream.iterator() {22        switch update {23        case .replies(let replies):24            message = replies.last?.message25        case .error(let error):26            print("Error: \(error)")27        }28    }29    print("Text: \(message?.text() ?? "empty")")30}

1Choose framework

2Run the following command to install Mirai SDK

spm https://github.com/trymirai/uzu.git

3Apply code

1	import Uzu
2
3	public func runChat() async throws {
4	let engineConfig = EngineConfig.create()
5	let engine = try await Engine.create(config: engineConfig)
6
7	guard let model = try await engine.model(identifier: "mlx-community/LFM2-350M-4bit") else {
8	return
9	}
10	for try await update in try await engine.download(model: model).iterator() {
11	print("Download progress: \(update.progress())")
12	}
13
14	let messages = [
15	ChatMessage.system().withText(text: "You are a helpful assistant"),
16	ChatMessage.user().withText(text: "Tell me a short, funny story about a robot")
17	]
18	let session = try await engine.chat(model: model, config: .create())
19	let stream = await session.replyWithStream(input: messages, config: .create())
20	var message: ChatMessage? = nil
21	for try await update in stream.iterator() {
22	switch update {
23	case .replies(let replies):
24	message = replies.last?.message
25	case .error(let error):
26	print("Error: \(error)")
27	}
28	}
29	print("Text: \(message?.text() ?? "empty")")
30	}