Moxin LM
Open Source Foundation Models

From reasoning to speech, our models are designed for the next generation of human-computer interaction.

Visit Moxin LM Hugging Face Page

Learn more about our foundation models and research.

huggingface.co/moxin-org
Open Creation Efficient Deployment Voice

Open Creation

The Moxin-7B series is our truly open, SOTA-performing LLM and VLM. We build, fine-tune, and openly release our own models, ensuring complete reproducibility and transparency.

Moxin-7B-LLM

Our flagship general-purpose model. Fine-tuned for instruction following, coding, and reasoning.

7B
Params
32k
Context
SOTA
Perf
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Moxin-7B-VLM

Vision-Language Model capable of understanding images, charts, and diagrams with high precision.

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Efficient Deployment

We specialize in extreme quantization, creating resource-efficient variants of popular models (like DeepSeek and Kimi) to run anywhere. We unleash the power of reproducible AI 🚀.

Kimi K2 Thinking

Optimized GGUF version of Kimi K2 Thinking model.

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MiniMax M2

Efficient GGUF quantization for MiniMax M2.

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Qwen3 Next 80B

A3B Instruct GGUF version of Qwen3 Next 80B.

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Qwen3 235B

Massive 235B parameter model quantized for deployment.

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DeepSeek V3

Latest DeepSeek V3 model optimized for Moxin.

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GLM 4.6

General Language Model 4.6 GGUF quantization.

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DeepSeek R1

Reasoning model optimized for efficient deployment.

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Voice

Moxin Voice brings speech synthesis, voice cloning, and speech recognition into a single fully local workflow for desktop products, edge devices, and research environments.

NEW
Runs locally 5-10s cloning 3-10 min training 14+ preset voices

Moxin Voice

Text-to-speech and automatic speech recognition that run entirely on-device, with no cloud API dependency and a strong focus on speed, privacy, and flexible deployment.

Human-like text-to-speech and automatic speech recognition running entirely on-device

Recording, preview, and WAV export built into a workflow that is easy to demo and integrate

14+ preset voices with room to extend, fine-tune, and train custom voice profiles

Well-suited for desktop apps, edge devices, voice-enabled agents, and research workflows

View on GitHub

Voice Sample

WAV

Moxin Voice Vivian sample

Zero-Shot Voice Cloning

Create a usable voice profile from just 5-10 seconds of reference audio for fast demos and personalized speech experiences.

Few-Shot High-Fidelity Training

Train a more stable and accurate custom voice model with 3-10 minutes of audio when quality matters most.

Local TTS + ASR

Keep text-to-speech, automatic speech recognition, recording, playback, and export inside a fully local pipeline.

Native Performance Stack

Built with Rust, Makepad, and GPT-SoVITS v2 to optimize privacy, responsiveness, and deployment flexibility.

Build with Moxin LM

Robotics & Automation

Fine-tune for specific robotics commands and industrial applications.

Edge AI Solutions

Run AI directly on devices for privacy-first, low-latency applications.

Research Platform

Ideal for academic research with full reproducibility and transparency.