Laguna S 2.1: VRAM requirements by quant
Key facts
Laguna S 2.1 needs about 97.3 GB at standard quality (Q4, estimate).
Checked . poolside Q4_K_M GGUF.
Laguna S 2.1 is a large AI model you can download and run on your own computer. It is a mixture of experts: all of it has to fit in memory, but it uses only a small part for each word. It needs about 97 GB of memory at standard quality.
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Memory needed
About 97 GB
At standard quality, with room for a conversation of about 12 pages.
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Machines that run Laguna S 2.1
Each of these holds the whole model in memory. We do not estimate a speed for this kind of model (a mixture of experts), so these are simply the cheapest.
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Mac Studio M5 Ultra 256GB
256 GB shared memory
$11,565€12,500estimate
Machine details →
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About these prices
Each price is the amount we last wrote down for that machine, with its date on the machine page. "Estimate" is our own figure: for a complete PC we add our estimate for the other parts to the graphics card price, and some Mac prices are estimates, not a checked shop listing. "Used" is a second-hand price. "Unverified" means we have no checked shop listing for that exact amount. The shop buttons open a search for that machine at each shop, so you see today's price there. Prices excl. shipping unless marked. Euro prices incl. VAT where the seller charges it. Dollar prices are converted from our euro prices without the 21% EU VAT, before US sales tax.
Or rent one by the hour: Nvidia H200 at Hyperbolic holds it, for $3.99 an hour (starting price, 21 Oct 2026). Compare GPU cloud prices
Speeds and memory are our estimate from the hardware specs, not a measured test. Prices are dated and may change. How we calculate
Memory at each quality level
A lower quality level makes the model smaller, so it fits on a smaller machine. Standard (Q4) is what most people run.
| Quality | Memory needed |
|---|---|
| Q4 · standard (smallest that keeps quality) | 97.3 GB |
| Q5 · a bit sharper, a bit bigger | 114.9 GB |
| Q8 · near full quality, almost twice Q4 | 127.5 GB |
| FP16 · full quality, over three times Q4 | 237.3 GB |
With a conversation of 8,192 tokens · about 12 pages of text.
Sources and method
At standard quality: 96.0 GB for the model itself (a measured file), 0.5 GB for a conversation of 8,192 tokens, and 0.8 GB for the software.
Size source: huggingface.co/poolside/Laguna-S-2.1. 118B parameters in total, 8B used for each word. The memory counts the total.
Poolside's coding mixture of experts: 118B total, about 8B active, 256 routed experts with 10 per token plus one shared expert, context 1,048,576. Open weights under OpenMDW-1.1. 12 of 48 layers attend to the whole context; the other 36 use a 512-token window. The DFlash draft (2.23 GB) is not in these file sizes.
Licence
Commercial use: yes
Commercial use allowed. Keep the licence and copyright notice when you share the weights.
Licence: OpenMDW-1.1 · checked 24 Oct 2026
Our reading of the licence, not legal advice.
Will Laguna S 2.1 run on my graphics card?
Common questions
- How much memory does Laguna S 2.1 need?
- About 97.3 GB at standard quality (Q4) with a conversation of 8,192 tokens: 96.0 GB for the model itself, 0.5 GB for the conversation and 0.8 GB for the software. The model size is a measured file; the conversation and software parts are our estimate.
- Does Laguna S 2.1 fit on a single 24 GB graphics card?
- Not in full. It needs about 97.3 GB, and a 24 GB card leaves about 23.4 GB usable.
- Are the speeds measured?
- We do not show a speed for this model. It is a mixture-of-experts model, and our estimate would not be reliable for that design.
- Can I test Laguna S 2.1 online for free in my browser without downloading 96 GB?
- Yes. Laguna S 2.1 (118B total, 8B active, parameter count is an estimate) is one of the 10 free open models at https://localllmrig.com/ and in the inline test box on https://localllmrig.com/can-i-run/laguna-s-2.1. You can send it prompts side by side against Recursive Flint (https://localllmrig.com/can-i-run/flint) or Gemma 4 31B (https://localllmrig.com/can-i-run/gemma-4-31b) using none of your own graphics memory.
- Can I run Laguna S 2.1 on 24GB?
- Not in full. Laguna S 2.1 (118B total, 8B active, parameter count is an estimate) needs about 97.3 GB at Q4_K_M (96.03 GB measured GGUF + 0.48 GB conversation memory at 8,192 tokens + 0.80 GB working space = 97.31 GB / 97.3 GB total estimate), and a 24 GB card leaves about 23.4 GB usable. The smallest listed file is UD-IQ1_S (33.77 GB measured GGUF, 35.0 GB total estimate), still above the 23.4 GB usable on a 24 GB card.
- Can I run Laguna S 2.1 on a 128GB Mac or 64GB Mac mini?
- At Q4_K_M (96.03 GB measured GGUF, 97.3 GB total estimate), it is 1.3 GB over the 96.0 GB usable on Mac Studio M4 Max 128GB and Mac Studio M5 Max 128GB. Q4_K_M fits Mac Studio M5 Ultra 256GB (192.0 GB usable, €12,500 / $11,565, price unverified). These measured files fit a 128 GB Mac Studio (96.0 GB usable; the cheaper 128 GB Mac is Mac Studio M4 Max 128GB at €3,290 / $3,683, price unverified): UD-Q5_K_M (87.86 GB measured GGUF, 89.1 GB total estimate), UD-Q4_K_XL (73.4 GB measured GGUF, 74.7 GB total estimate), UD-Q3_K_XL (54.09 GB measured GGUF, 55.4 GB total estimate). On Mac mini M4 Pro 64GB (48.0 GB usable, €1,890 / $2,116, price unverified), UD-IQ2_M (37.27 GB measured GGUF, 38.5 GB total estimate) and UD-IQ1_S (33.77 GB measured GGUF, 35.0 GB total estimate) fit.
- Can I run Laguna S 2.1 on a Dual RTX 3090 or Dual RTX 4090 (48 GB VRAM)?
- At Q4_K_M (97.3 GB total estimate), Dual RTX 3090, 64 GB RAM and Dual RTX 4090, 64 GB RAM each leave 46.8 GB of graphics memory usable, so the standard file does not fit in graphics memory and would run by offloading to system RAM. These measured files fit inside that 46.8 GB without offload: UD-IQ2_M (37.27 GB measured GGUF, 38.5 GB total estimate), UD-IQ1_S (33.77 GB measured GGUF, 35.0 GB total estimate). Dual RTX 3090, 64 GB RAM is €3,592 / $3,808, price unverified. Dual RTX 4090, 64 GB RAM is €5,470 / $5,910, price unverified.
- How fast is Laguna S 2.1 on an RTX 5090?
- We don't give a speed for this model yet. This model only uses part of itself for each word (8B active of 118B total, a mixture of experts), and our speed estimate does not handle that yet.
- What is Laguna S 2.1's architecture, context length, and license?
- Laguna S 2.1 is a 118B-total, 8B-active mixture-of-experts model with a maximum context of 1,048,576 tokens (about 1,573 pages) under OpenMDW-1.1. The model notes describe 256 routed experts with 10 per token plus one shared expert. 12 of its 48 layers attend to the full context and 36 layers use a 512-token sliding window, so the 8,192-token conversation cache is about 0.48 GB (0.5 GB rounded, our estimate). The model notes say the DFlash draft (2.23 GB) is not included in these file sizes.
- Can I try Laguna S 2.1 online for free?
- Yes. Laguna S 2.1 is on the free chat on the home page. Pick it there, ask a question, and read the answer in your browser. No login and no install.
- Do I need a GPU to test it?
- No. The free chat runs in your browser. It does not download the model and it does not use a graphics card on your computer. A graphics card only matters if you run the model yourself.
- Do I need an account to try Laguna S 2.1?
- No. The free chat needs no account and no login.