Can Ling 3.0 Flash Fin run on Mac Studio M5 Ultra 96GB?

YES — Runs great
Q4_0 · 4K context · formula estimate

What this means

Ling 3.0 Flash Fin fits on the Mac Studio M5 Ultra · 96GB at Q4_0. We estimate it uses 85.9GB of the conservative 88GB working budget.

Estimated decode speed is 200.4280.5 tokens/s. A roughly 300-word answer may take around 2 seconds.

200.4–280.5tokens/s
estimated · instant
85.9GB
needed at Q4_0
Q4_0
quant selected
2.1GB
working headroom
needs 85.9 GBworking budget 88 GB
Apple M5 Ultra96 GB unified memoryMetalActive cooling

See how fast it feels

Using the midpoint of our 200.4280.5 tokens/s estimate for this demo.

Live demo · 240.5 tokens/s

Where the memory goes

ComponentDetailGB
Model weightsQ4_0 GGUF (72.8 GB) + mmap overhead76.4
KV cache4K context window8.7
RuntimemacOS inference app + compute buffers0.8
Total neededat Q4_0, 4K context85.9
Working budget96 GB unified memory − conservative macOS reserve88
Headroomremaining inside the working budget2.1

Pick your quant

QuantDownloadMemoryEstimated speedVerdict
IQ1_S27.6 GB38.5 GB~528.6–740 tok/s Runs great
Q2_K45.9 GB57.7 GB~317.8–445 tok/s Runs great
Q3_K_M59 GB71.4 GB~247.3–346.2 tok/s Runs great
IQ4_XS68.7 GB81.6 GB~212.3–297.3 tok/s Runs great
Q4_072.8 GB85.9 GB~200.4–280.5 tok/s Runs great
Q4_K_S75 GB88.2 GB Won't fit
Q4_K_M77.8 GB91.2 GB Won't fit
Q5_K_M90.7 GB104.7 GB Won't fit
Q6_K109.3 GB124.2 GB Won't fit
Q8_0135.6 GB151.9 GB Won't fit

Get it running on this Mac

Recommended app: LM Studio. Follow the point-and-click steps below.

1
Install LM Studio for Apple silicon.

Download LM Studio from its official site and drag it to Applications. Open it once and allow macOS to launch it. This route uses the graphical app; you do not need its CLI or local-server features.

2
Open Discover and paste the exact model repository.

Search for bartowski/Ling-3.0-flash-Fin-GGUF. Use the publisher name shown on this page—or paste its full Hugging Face URL. Similarly named community uploads may contain different files.

3
Choose the Q4_0 GGUF.

Open the GGUF download options and select the row containing Q4_0. The download should be about 72.8 GB. Do not select vision-projector or mmproj helper files for a text-only chat.

4
Download it, then open Chat and load that model.

Choose the downloaded model in the model selector and click Load if prompted. Keep the default local runtime and start with a 4K (4096-token) context. Close memory-heavy apps for the first load.

5
Send a simple first prompt.

Try “Explain why the sky is blue in three sentences.” This page estimates 200.4280.5 tokens/s; it is not an LM Studio measurement unless marked ✓ Verified.

6
Turn off Wi-Fi and ask again.

A second reply while offline confirms that the model is running on this Mac.

Why LM Studio?

This report names an exact Hugging Face repository and GGUF quant. LM Studio lets you search that exact source, choose the matching quant, download it, and chat without using Terminal.

Jan

An open-source GGUF alternative with friendly hardware-fit hints.

Its MLX engine is experimental, and support for new model architectures can lag.
Ollama

A trusted Ollama catalog model, or later use with coding tools and a local API.

An Ollama package may use different weights or a different quant from this report.
Msty

One interface for GGUF, MLX, Ollama, documents, and knowledge workflows.

It exposes more choices than the first-chat path and its free license is for personal use.
If it does not work
  • Model not listed: paste the exact repository bartowski/Ling-3.0-flash-Fin-GGUF, not only the model nickname.
  • Download stalls: confirm there is enough free storage, reconnect to Wi-Fi, and restart the download inside the app.
  • Load fails or the app closes: quit memory-heavy apps. In LM Studio, confirm Q4_0 is the model currently loaded. Otherwise use a smaller model from this Mac's results.
  • No reply while offline: make sure the downloaded local model—not a remote or cloud model—is selected in the chat.
Did the first offline reply work?

Your anonymous feedback helps us prioritize which Mac and model paths to retest.

Other models on this Mac

Ling 3.0 Flash Fin on other Mac Studio M5 Ultra configurations

FAQ

Can the Mac Studio M5 Ultra · 96GB run Ling 3.0 Flash Fin?

Yes at Q4_0. We estimate about 85.9GB of working memory and 200.4–280.5 tokens/s at 4K context.

Which Ling 3.0 Flash Fin quant should I use on this Mac?

Q4_0. It is a 72.8GB download and leaves about 2.1GB inside our conservative working budget.

Which app should I use for Ling 3.0 Flash Fin on this Mac?

Start with LM Studio. This page gives the complete point-and-click walkthrough.

Are these speeds measured on a Mac Studio M5 Ultra?

No. The range is a formula estimate based on memory bandwidth, model size, active parameters, cooling, and a 4K context. The app, backend, thermals, and prompt can change real performance.