Videos · Muse Spark Open
What people filmed about it
Within three days there were eight videos worth a card, and they divide cleanly: four do the memory arithmetic, two are local diaries, and two are arguments about whether a model this large can be called open at all. Longest reach first.
Views and duration read 2026-10-17 8 videos published Player loads only on click
- YouTube
Muse Spark Open is HERE: What REALLY Takes to Run It?
A practical run-through of the memory arithmetic: why the BF16 checkpoint is about 1.65 TB, why NVFP4 still needs multiple machines, and what the cheapest hosted route looks like. The clearest of the launch-week videos about hardware.
- YouTube
I Ran Meta Spark Open Locally for 24 Hours... USA's #1 Local AI
A 35-minute diary of a day with the model on local hardware. Useful for the friction nobody puts in a launch post: downloads, quantisation choices, and what the machine sounds like under load.
- YouTube
Muse Spark Open Is Useless
An argument, not a demo. The case is that an 816B model requiring two Mac Studios or eight GPUs is not a desktop model, and the video spends its time on who can actually run it rather than on benchmark scores.
- YouTube
Meta Muse Spark Open vs GPT 6 Astra vs Claude Opus 5.5
A side-by-side prompt comparison with two hosted frontier models. Small sample, but it is one of the few videos that puts Muse Spark Open next to the models readers are actually choosing between.
- YouTube
Meta's new Muse Spark Open AI needs two $5,499 Mac Studios to run on desktop
Two and a half minutes on the price of the desktop story: two M5 Ultra Mac Studios at $5,499 each, and what that buys in tokens per second.
- YouTube
Muse Spark Open: What It Really Costs to Run Meta's 816B Model Locally
Cost accounting for local versus hosted deployment, including electricity and the hardware you would have to buy. The numbers are estimates, but the framing is the right one.
- YouTube
Meta Muse Spark Open Is Free. Running It Needs 700 GB of VRAM
A short explainer on the gap between free weights and free inference: 700 GB is the video's shorthand for the NVFP4-plus-overhead footprint, and it walks through why that number is not a typo.
- YouTube
Muse Spark Open vs GLM 5.3: Which Big Model Should You Run?
Compares the two open-weight options on hardware requirements and local usability rather than raw scores. The conclusion is less interesting than the table of what each one needs to run at all.
What this column does not have
Any video whose title does not name Muse Spark Open, and any we have not watched past the part that matters. The search also returned Muse Spark 1.3 explainers, which are a different model; those are not here.
Source: YouTube Data API v3 Read 2026-10-17 Muse Spark Open topic