Qwen 3.5 Sql 27B Distill 2B — Hardware Requirements & GPU Compatibility
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Qwen 3.5 Sql 27B Distill 2B is a 27B-parameter open language model from AlioLeuchtmann in the Qwen 3.5 family. It supports a context window of up to 262,144 tokens. At BF16 it needs about 54.40 GB of VRAM — see which GPUs and Macs can run it below.
1.1K downloads
3 likesSpecifications
- Publisher
- AlioLeuchtmann
- Family
- Qwen 3.5
- Parameters
- 27B
- Architecture
- Qwen3_5ForConditionalGeneration
- Context Length
- 262,144 tokens
- Vocabulary Size
- 248,320
- Release Date
- 2026-08-11
- License
- Apache 2.0
Get Started
HuggingFace
How Much VRAM Does Qwen 3.5 Sql 27B Distill 2B Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| BF16est. | 16.00 | 54.4 GB | 67.2 GB | 54.00 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 Qwen 3.5 Sql 27B Distill 2B?
BF16 · 54.4 GBQwen 3.5 Sql 27B Distill 2B (BF16) requires 54.4 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 71+ GB is recommended. Using the full 262K context window can add up to 12.8 GB, bringing total usage to 67.2 GB. No single GPU has enough memory — multi-GPU or cluster setups are needed.
Which Devices Can Run Qwen 3.5 Sql 27B Distill 2B?
BF16 · 54.4 GB22 devices with unified memory can run Qwen 3.5 Sql 27B Distill 2B, including NVIDIA DGX H100, NVIDIA DGX A100 640GB, Mac Studio (M3 Ultra, 96GB).
Runs great
— Plenty of headroom
Related Models
Frequently Asked Questions
- How much VRAM does Qwen 3.5 Sql 27B Distill 2B need?
Qwen 3.5 Sql 27B Distill 2B requires 54.4 GB of VRAM at BF16. Full 262K context adds up to 12.8 GB (67.2 GB total).
VRAM = Weights + KV Cache + Overhead
Weights = 27B × 16 bits ÷ 8 = 54 GB
KV Cache + Overhead ≈ 0.4 GB (at 2K context + ~0.3 GB framework)
KV Cache + Overhead ≈ 13.2 GB (at full 262K context)
VRAM usage by quantization
BF1654.4 GBBF16 + full context67.2 GB- Can NVIDIA GeForce RTX 5090 run Qwen 3.5 Sql 27B Distill 2B?
No — Qwen 3.5 Sql 27B Distill 2B requires at least 54.4 GB at BF16, which exceeds the NVIDIA GeForce RTX 5090's 32 GB of VRAM.
- Can I run Qwen 3.5 Sql 27B Distill 2B on a Mac?
Qwen 3.5 Sql 27B Distill 2B requires at least 54.4 GB at BF16, 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 Qwen 3.5 Sql 27B Distill 2B locally?
Yes — Qwen 3.5 Sql 27B Distill 2B can run locally on consumer hardware. At BF16 quantization it needs 54.4 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is Qwen 3.5 Sql 27B Distill 2B?
At BF16, Qwen 3.5 Sql 27B Distill 2B can reach ~88 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 ÷ 54.4 × 0.65 = ~96 tok/s
Estimated speed at BF16 (54.4 GB)
~96 tok/s~96 tok/s~88 tok/sReal-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.
- What's the download size of Qwen 3.5 Sql 27B Distill 2B?
At BF16, the download is about 54.00 GB.
- Which GPUs can run Qwen 3.5 Sql 27B Distill 2B?
No single consumer GPU has enough VRAM to run Qwen 3.5 Sql 27B Distill 2B at BF16 (54.4 GB). Multi-GPU or professional hardware is required.
- Which devices can run Qwen 3.5 Sql 27B Distill 2B?
23 devices with unified memory can run Qwen 3.5 Sql 27B Distill 2B at BF16 (54.4 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.