Laguna S 2.1 — Hardware Requirements & GPU Compatibility
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Laguna S 2.1 is a 117.6B-parameter open language model from poolside. It supports a context window of up to 1,048,576 tokens. At Q4_K_M it needs about 71.04 GB of VRAM — see which GPUs and Macs can run it below.
47.1K downloads
1.0K likesSpecifications
- Publisher
- poolside
- Parameters
- 117.6B
- Architecture
- LagunaForCausalLM
- Context Length
- 1,048,576 tokens
- Vocabulary Size
- 100,352
- Release Date
- 2026-07-13
- License
- openmdw-1.1
Get Started
HuggingFace
How Much VRAM Does Laguna S 2.1 Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| Q2_K | 3.40 | 50.5 GB | 153.3 GB | 49.96 GB | 2-bit quantization with K-quant improvements |
| Q3_K_M | 3.90 | 57.8 GB | 160.7 GB | 57.31 GB | 3-bit medium quantization |
| Q4_K_M | 4.80 | 71.0 GB | 173.9 GB | 70.54 GB | 4-bit medium quantization — most popular sweet spot |
| Q5_K_M | 5.70 | 84.3 GB | 187.1 GB | 83.76 GB | 5-bit medium quantization — good quality/size tradeoff |
| Q6_K | 6.60 | 97.5 GB | 200.4 GB | 96.99 GB | 6-bit quantization, very good quality |
| Q8_0 | 8.00 | 118.1 GB | 220.9 GB | 117.56 GB | 8-bit quantization, near-lossless |
Which GPUs Can Run Laguna S 2.1?
Q4_K_M · 71.0 GBLaguna S 2.1 (Q4_K_M) requires 71.0 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 93+ GB is recommended. Using the full 1049K context window can add up to 102.9 GB, bringing total usage to 173.9 GB. No single GPU has enough memory — multi-GPU or cluster setups are needed.
Which Devices Can Run Laguna S 2.1?
Q4_K_M · 71.0 GB19 devices with unified memory can run Laguna S 2.1, including NVIDIA DGX H100, NVIDIA DGX A100 640GB, Mac Studio (M3 Ultra, 96GB).
Runs great
— Plenty of headroom
Decent
— Enough memory, may be tightWhere to Download Laguna S 2.1
Community quantizations of this model — GGUF for llama.cpp, Ollama, and LM Studio, plus AWQ/MLX variants where available.
Frequently Asked Questions
- How much VRAM does Laguna S 2.1 need?
Laguna S 2.1 requires 71.0 GB of VRAM at Q4_K_M, or 235.6 GB at BF16. Full 1049K context adds up to 102.9 GB (173.9 GB total).
VRAM = Weights + KV Cache + Overhead
Weights = 117.6B × 4.8 bits ÷ 8 = 70.5 GB
KV Cache + Overhead ≈ 0.5 GB (at 2K context + ~0.3 GB framework)
KV Cache + Overhead ≈ 103.4 GB (at full 1049K context)
VRAM usage by quantization
Q4_K_M71.0 GBQ4_K_M + full context173.9 GB- Can NVIDIA GeForce RTX 5090 run Laguna S 2.1?
No — Laguna S 2.1 requires at least 32.8 GB at IQ2_XXS, which exceeds the NVIDIA GeForce RTX 5090's 32 GB of VRAM.
- What's the best quantization for Laguna S 2.1?
For Laguna S 2.1, Q4_K_M (71.0 GB) offers the best balance of quality and VRAM usage. Q5_K_S (81.3 GB) provides better quality if you have the VRAM. The smallest option is IQ2_XXS at 32.8 GB.
VRAM requirement by quantization
IQ2_XXS32.8 GBQ2_K50.5 GBQ4_K_S66.6 GBQ4_K_M ★71.0 GBQ5_K_M84.3 GBBF16235.6 GB★ Recommended — best balance of quality and VRAM usage.
- Can I run Laguna S 2.1 on a Mac?
Laguna S 2.1 requires at least 32.8 GB at IQ2_XXS, which exceeds the unified memory of most consumer Macs. You would need a Mac Studio or Mac Pro with a high-memory configuration.
- Can I run Laguna S 2.1 locally?
Yes — Laguna S 2.1 can run locally on consumer hardware. At Q4_K_M quantization it needs 71.0 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is Laguna S 2.1?
At Q4_K_M, Laguna S 2.1 can reach ~68 tok/s on AMD Instinct MI350X. Speed depends mainly on GPU memory bandwidth. Real-world results typically within ±20%.
tok/s = (bandwidth GB/s ÷ model GB) × efficiency
Example: NVIDIA B200 → 8000 ÷ 71.0 × 0.65 = ~73 tok/s
Estimated speed at Q4_K_M (71.0 GB)
~73 tok/s~73 tok/s~68 tok/sReal-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.
- What's the download size of Laguna S 2.1?
At Q4_K_M, the download is about 70.54 GB. The full-precision BF16 version is 235.12 GB. The smallest option (IQ2_XXS) is 32.33 GB.
- Which GPUs can run Laguna S 2.1?
No single consumer GPU has enough VRAM to run Laguna S 2.1 at Q4_K_M (71.0 GB). Multi-GPU or professional hardware is required.
- Which devices can run Laguna S 2.1?
19 devices with unified memory can run Laguna S 2.1 at Q4_K_M (71.0 GB), including ASUS Ascent GX10, Asus ROG Flow Z13 (2025, Ryzen AI Max+ 395, 128 GB), Beelink GTR9 Pro (Ryzen AI Max+ 395, 128 GB), Framework Desktop (Ryzen AI Max+ 395, 128 GB). Apple Silicon Macs use unified memory shared between CPU and GPU, making them well-suited for local LLM inference.