Muse Glimmer: Meta's AI Model That Runs on Your Laptop

30 billion parameters, one GPU, zero cloud dependency. Meta just made frontier AI personal — download it free from Hugging Face and run it on your own machine.

Try Muse Glimmer Free ↓ Run It Locally
30B
Parameters
1 GPU
Minimum Hardware
Open
Weights on HF
Free
Download & Use

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No download, no signup — chat with Muse Glimmer directly in your browser.

Muse Glimmer 30B — Full Model
Muse Glimmer 30B DFlash — Speed-Optimized Variant

Free demos hosted on Hugging Face Spaces. For maximum speed and privacy, run Muse Glimmer locally on your own GPU.

What Is Muse Glimmer?

Muse Glimmer is Meta's 30-billion-parameter open-weight AI model, released on August 10, 2026. Unlike every other frontier model that needs a data center or a cloud API, Muse Glimmer was designed from the ground up to run on a single consumer GPU — your laptop's RTX 4060, your desktop's Radeon RX 7900, or an AMD Ryzen AI Max+ with unified memory.

The model comes from Meta Superintelligence Labs, the same team behind Muse Image and Muse Spark. Its benchmark scores compete with models two to three times its size: IFBench 77.0 (beating GPT-5.6 Sol's 76.0), AIME 2026 at 94.7, and AA-LCR at 80.0. Zuckerberg personally backed the launch, framing it as a strategic move to out-compete closed-model labs by making frontier AI a commodity on consumer hardware.

Weights are on Hugging Face with no gating — download, run, modify, and deploy commercially. AMD partnered with Meta for day-one optimization on Radeon and Ryzen AI Max+ hardware. This site is an unofficial guide covering local setup, benchmarks, hardware options, and use cases for the model that brings frontier AI to your desk.

Why Muse Glimmer Changes the Game

Six things that make this release different from every other open model.

Runs on one consumer GPU

Muse Glimmer is designed to run on a single consumer-grade GPU — a laptop RTX 4070 or AMD Radeon RX 7900 handles it. No cloud, no multi-GPU rigs, no data center.

30B parameters, frontier scores

IFBench 77.0, AIME 2026 94.7, GPQA Diamond 83.5 — benchmark numbers that compete with models two to three times its size, packed into a form factor that fits on your desk.

Agentic by design

Built for tool use, code execution, web browsing, and multi-step workflows. Meta trained it specifically for the harness patterns that coding assistants and AI agents need.

Open weights, free download

Available on Hugging Face with no gating. Download the weights, run them locally, fine-tune on your data, deploy commercially. Meta's open-weight commitment, continued.

AMD partnership optimized

Co-launched with AMD for Ryzen AI Max+ and Radeon GPUs. Optimized inference paths mean AMD hardware runs it particularly well — not just an NVIDIA story.

Privacy by architecture

Local-first means your prompts, your documents, and your code never leave your machine. No API calls, no cloud logging, no third-party data processing.

Explore the Guides

How to Run Locally →

GPU requirements, Ollama setup, and connecting to your coding tools — from download to first response.

Benchmarks →

IFBench, AIME, GPQA Diamond, and long-context scores compared to GPT-5.6 Sol and Qwen3.6.

vs Other Models →

Muse Glimmer vs Qwen, DeepSeek V4 Flash, and Llama 4 — specs, local-run ability, and which to choose.

AMD Hardware Guide →

Official AMD partnership: Ryzen AI Max+, Radeon GPUs, ROCm setup, and why AMD hardware runs it well.

10 Use Cases →

Private coding assistant, offline RAG, edge deployment, fine-tuning experiments, and more.

Why Open Weights →

Zuckerberg's strategy: open AI that runs everywhere beats closed APIs that run on someone else's server.

Muse Glimmer FAQ

What is Muse Glimmer?
Muse Glimmer is Meta's 30-billion-parameter open-weight AI model released August 10, 2026. It is designed to run on a single consumer GPU — a laptop or desktop graphics card — making frontier AI accessible without cloud infrastructure.
Can Muse Glimmer really run on a laptop?
Yes. With quantization (Q4-Q6), it runs on GPUs with 8-24GB VRAM, including laptop GPUs like the RTX 4060 or RTX 4070. AMD Ryzen AI Max+ laptops with unified memory handle it particularly well.
Is Muse Glimmer free?
Yes. The weights are on Hugging Face with no gating or approval process. Download, run, modify, and deploy — Meta's open-weight license allows commercial use.
How does it compare to GPT or Claude?
On several benchmarks it matches or beats GPT-5.6 Sol: IFBench 77.0 vs 76.0, AA-LCR 80.0 vs 68.3, Beam 128K 65.1 vs 58.2. It trails slightly on GPQA Diamond and Humanity's Last Exam. The key difference: it runs on your hardware for free.
What GPU do I need?
Minimum: any GPU with 8GB VRAM (RTX 4060, RX 7600) with Q4 quantization. Recommended: 12-16GB VRAM (RTX 4070, RX 7800 XT). Optimal: 24GB (RTX 4090, RX 7900 XTX). Apple Silicon Macs with 32GB+ work too.
Why did Meta release this?
Zuckerberg's stated strategy is to make open-weight AI that runs everywhere — beating closed-model labs by making frontier AI a commodity on consumer hardware. Muse Glimmer is the first model explicitly designed for this: 30B parameters tuned for single-GPU local inference.
Is it good for coding?
Yes. Muse Glimmer scores well on coding benchmarks and was trained for agentic tool use — the patterns that coding assistants like Cursor and Continue rely on. Connect it as a local backend and you have a private Copilot.
Does it work offline?
Completely. After downloading the weights (~20GB quantized), no internet is needed. Prompts and responses stay on your machine — ideal for air-gapped or privacy-sensitive environments.

Run Muse Glimmer Today

One command to download, one command to run. Frontier AI on your own hardware, free forever.

Setup Guide Weights on HF