Laguna XS 2.1 — Hardware Requirements & GPU Compatibility
Chat
Laguna XS 2.1 is a 33.4B-parameter open language model from poolside. It supports a context window of up to 262,144 tokens. At Q4_K_M it needs about 20.48 GB of VRAM — see which GPUs and Macs can run it below.
14.5K downloads
107 likesSpecifications
- Publisher
- poolside
- Parameters
- 33.4B
- Architecture
- LagunaForCausalLM
- Context Length
- 262,144 tokens
- Vocabulary Size
- 100,352
- Release Date
- 2026-06-20
- License
- openmdw-1.1
Get Started
HuggingFace
How Much VRAM Does Laguna XS 2.1 Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| Q2_Kest. | 3.40 | 14.6 GB | 28.8 GB | 14.21 GB | 2-bit quantization with K-quant improvements |
| Q3_K_M | 3.90 | 16.7 GB | 30.9 GB | 16.30 GB | 3-bit medium quantization |
| Q4_K_M | 4.80 | 20.5 GB | 34.7 GB | 20.07 GB | 4-bit medium quantization — most popular sweet spot |
| Q5_K_M | 5.70 | 24.2 GB | 38.4 GB | 23.83 GB | 5-bit medium quantization — good quality/size tradeoff |
| Q6_K | 6.60 | 28 GB | 42.2 GB | 27.59 GB | 6-bit quantization, very good quality |
| Q8_0 | 8.00 | 33.9 GB | 48.1 GB | 33.44 GB | 8-bit quantization, near-lossless |
| BF16 | 16.00 | 67.3 GB | 81.5 GB | 66.89 GB | Brain floating point 16 — preferred for training |
est.= calculated VRAM estimate; no published GGUF file found for that quantization yet. Other rows are verified against real community uploads.
Which GPUs Can Run Laguna XS 2.1?
Q4_K_M · 20.5 GBLaguna XS 2.1 (Q4_K_M) requires 20.5 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 27+ GB is recommended. Using the full 262K context window can add up to 14.2 GB, bringing total usage to 34.7 GB. 7 GPUs can run it, including NVIDIA GeForce RTX 5090, NVIDIA GeForce RTX 3090 Ti.
Runs great
— Plenty of headroom
Which Devices Can Run Laguna XS 2.1?
Q4_K_M · 20.5 GB41 devices with unified memory can run Laguna XS 2.1, including NVIDIA DGX H100, NVIDIA DGX A100 640GB, Mac Mini M4 Pro (24 GB).
Runs great
— Plenty of headroomDecent
— Enough memory, may be tightWhere to Download Laguna XS 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 XS 2.1 need?
Laguna XS 2.1 requires 20.5 GB of VRAM at Q4_K_M, or 67.3 GB at BF16. Full 262K context adds up to 14.2 GB (34.7 GB total).
VRAM = Weights + KV Cache + Overhead
Weights = 33.4B × 4.8 bits ÷ 8 = 20.1 GB
KV Cache + Overhead ≈ 0.4 GB (at 2K context + ~0.3 GB framework)
KV Cache + Overhead ≈ 14.6 GB (at full 262K context)
VRAM usage by quantization
Q4_K_M20.5 GBQ4_K_M + full context34.7 GB- Can NVIDIA GeForce RTX 4090 run Laguna XS 2.1?
Yes, at Q4_K_M (20.5 GB) or lower. Higher quantizations like Q5_K_M (24.2 GB) exceed the NVIDIA GeForce RTX 4090's 24 GB.
- What's the best quantization for Laguna XS 2.1?
For Laguna XS 2.1, Q4_K_M (20.5 GB) offers the best balance of quality and VRAM usage. Q5_K_M (24.2 GB) provides better quality if you have the VRAM. The smallest option is Q2_K at 14.6 GB.
VRAM requirement by quantization
Q2_K14.6 GBQ4_K_M ★20.5 GBQ5_K_M24.2 GBQ6_K28.0 GBQ8_033.9 GBBF1667.3 GB★ Recommended — best balance of quality and VRAM usage.
- Can I run Laguna XS 2.1 on a Mac?
Laguna XS 2.1 requires at least 14.6 GB at Q2_K, 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 XS 2.1 locally?
Yes — Laguna XS 2.1 can run locally on consumer hardware. At Q4_K_M quantization it needs 20.5 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is Laguna XS 2.1?
At Q4_K_M, Laguna XS 2.1 can reach ~215 tok/s on AMD Instinct MI350X. On NVIDIA GeForce RTX 4090: ~32 tok/s. 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 ÷ 20.5 × 0.65 = ~254 tok/s
Estimated speed at Q4_K_M (20.5 GB)
~254 tok/s~32 tok/s~254 tok/s~215 tok/sReal-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.
- What's the download size of Laguna XS 2.1?
At Q4_K_M, the download is about 20.07 GB. The full-precision BF16 version is 66.89 GB. The smallest option (Q2_K) is 14.21 GB.
- Which GPUs can run Laguna XS 2.1?
7 consumer GPUs can run Laguna XS 2.1 at Q4_K_M (20.5 GB). Top options include NVIDIA GeForce RTX 5090, AMD Radeon RX 7900 XTX, NVIDIA GeForce RTX 3090. 1 GPU have plenty of headroom for comfortable inference.
- Which devices can run Laguna XS 2.1?
41 devices with unified memory can run Laguna XS 2.1 at Q4_K_M (20.5 GB), including AMD Ryzen AI 9 HX 370 (Strix Point) Laptop, ASUS Ascent GX10, Asus ROG Flow Z13 (2025, Ryzen AI Max+ 395, 128 GB), Beelink GTR9 Pro (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.