Qwen3.8 27B Uncensored Ninfer — Hardware Requirements & GPU Compatibility
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Qwen3.8 27B Uncensored Ninfer is a 27B-parameter open language model from xidisdg in the Qwen 3.8 family. At BF16 it needs about 59.40 GB of VRAM — see which GPUs and Macs can run it below.
36.4K downloadsSpecifications
- Publisher
- xidisdg
- Family
- Qwen 3.8
- Parameters
- 27B
- Release Date
- 2026-09-09
Get Started
HuggingFace
Run in cloud
Fits on A100 80GB (20 GB headroom) · BF16
- Generation speed
- ~22 tok/s
- generation speed
- Cost per 1M output tokens
- $13.49
- per 1M output tokens
How Much VRAM Does Qwen3.8 27B Uncensored Ninfer Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| BF16est. | 16.00 | 59.4 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 Qwen3.8 27B Uncensored Ninfer?
BF16 · 59.4 GBQwen3.8 27B Uncensored Ninfer (BF16) requires 59.4 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 78+ GB is recommended. No consumer GPU has enough memory.
Which Devices Can Run Qwen3.8 27B Uncensored Ninfer?
BF16 · 59.4 GB22 devices with unified memory can run Qwen3.8 27B Uncensored Ninfer, 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 Qwen3.8 27B Uncensored Ninfer need?
Qwen3.8 27B Uncensored Ninfer requires 59.4 GB of VRAM at BF16.
VRAM = Weights + KV Cache + Overhead
Weights = 27B × 16 bits ÷ 8 = 54 GB
KV Cache + Overhead ≈ 5.4 GB (at 2K context + ~0.3 GB framework)
Fit ratings and hardware model lists check this model with room for a 16K-token context, which needs a little more memory.
VRAM usage by quantization
BF1659.4 GB- Can NVIDIA GeForce RTX 5090 run Qwen3.8 27B Uncensored Ninfer?
No — Qwen3.8 27B Uncensored Ninfer requires at least 59.4 GB at BF16, which exceeds the NVIDIA GeForce RTX 5090's 32 GB of VRAM.
- Can I run Qwen3.8 27B Uncensored Ninfer on a Mac?
Yes — Mac Studio M4 Max (64 GB) and 8 other Macs can run Qwen3.8 27B Uncensored Ninfer. Apple Silicon uses unified memory, so the model shares RAM with the system. At BF16 you need at least 59.4 GB of usable unified memory (RAM minus macOS overhead).
- Can I run Qwen3.8 27B Uncensored Ninfer locally?
Yes — Qwen3.8 27B Uncensored Ninfer can run locally on consumer hardware. At BF16 quantization it needs 59.4 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is Qwen3.8 27B Uncensored Ninfer?
At BF16, Qwen3.8 27B Uncensored Ninfer can reach ~81 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 ÷ 59.4 × 0.65 = ~88 tok/s
Estimated speed at BF16 (59.4 GB)
~88 tok/s~88 tok/s~81 tok/sReal-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.
- What's the download size of Qwen3.8 27B Uncensored Ninfer?
At BF16, the download is about 54.00 GB.
- Which GPUs can run Qwen3.8 27B Uncensored Ninfer?
No single consumer GPU has enough VRAM to run Qwen3.8 27B Uncensored Ninfer at BF16 (59.4 GB). Multi-GPU or professional hardware is required.
- Which devices can run Qwen3.8 27B Uncensored Ninfer?
22 devices with unified memory can run Qwen3.8 27B Uncensored Ninfer at BF16 (59.4 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.