mlx-community/LFM2-700M-8bit

Name: mlx-community/LFM2-700M-8bit
Author: LiquidAI

Run locally on Apple devices with Mirai

Type: local
From: LiquidAI
Quantization: MLX 8-bit
Parameters: 700M
Size: 757.2 MB
Source

An 8-bit quantized version of LiquidAI's LFM2-700M, 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

LFM2-700M is part of Liquid AI's second-generation Liquid Foundation Model family, purpose-built for edge deployment. At 700 million parameters, it occupies a compact footprint ideal for resource-constrained environments while still delivering capable text generation. The 8-bit quantization further reduces memory usage, making it particularly well-suited for local inference on MacBooks and other Apple Silicon devices.

Multilingual Support

The model supports eight languages: English, Arabic, Chinese, French, German, Japanese, Korean, and Spanish — giving it broad multilingual utility despite its small size.

Key Highlights

Edge-optimized: Designed from the ground up for lightweight, fast inference at the edge rather than datacenter-scale deployment.
MLX-native: Runs natively through Apple's MLX framework, taking full advantage of unified memory and Metal acceleration on M-series chips.
8-bit quantization: Reduced precision keeps quality high while cutting memory demands, enabling smooth performance even on devices with limited RAM.
Chat-capable: Includes a chat template, supporting conversational use cases out of the box.

Use Cases

LFM2-700M-8bit is a strong fit for local assistants, on-device text generation, multilingual content drafting, and any scenario where low-latency inference on Apple hardware is a priority. Its small parameter count and quantized weights make it one of the more accessible options for developers exploring private, offline language model deployment.

Base model: LiquidAI/LFM2-700M License: LFM 1.0 (custom)

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/LFM2-700M-8bit") 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/LFM2-700M-8bit") 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	}