Darkidol Ballad 27B — Hardware Requirements & GPU Compatibility
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Darkidol Ballad 27B is a 26.9B-parameter open language model from aifeifei798. It supports a context window of up to 262,144 tokens. At BF16 it needs about 54.54 GB of VRAM — see which GPUs and Macs can run it below.
331 downloads
3 likesSpecifications
- Publisher
- aifeifei798
- Parameters
- 26.9B
- Architecture
- Qwen3_5ForCausalLM
- Context Length
- 262,144 tokens
- Vocabulary Size
- 248,320
- Release Date
- 2026-03-10
- License
- Apache 2.0
Get Started
HuggingFace
How Much VRAM Does Darkidol Ballad 27B Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| BF16est. | 16.00 | 54.5 GB | 111.4 GB | 53.79 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 Darkidol Ballad 27B?
BF16 · 54.5 GBDarkidol Ballad 27B (BF16) requires 54.5 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 56.8 GB, bringing total usage to 111.4 GB. No single GPU has enough memory — multi-GPU or cluster setups are needed.
Which Devices Can Run Darkidol Ballad 27B?
BF16 · 54.5 GB22 devices with unified memory can run Darkidol Ballad 27B, 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 Darkidol Ballad 27B need?
Darkidol Ballad 27B requires 54.5 GB of VRAM at BF16. Full 262K context adds up to 56.8 GB (111.4 GB total).
VRAM = Weights + KV Cache + Overhead
Weights = 26.9B × 16 bits ÷ 8 = 53.8 GB
KV Cache + Overhead ≈ 0.7 GB (at 2K context + ~0.3 GB framework)
KV Cache + Overhead ≈ 57.6 GB (at full 262K context)
VRAM usage by quantization
BF1654.5 GBBF16 + full context111.4 GB- Can NVIDIA GeForce RTX 5090 run Darkidol Ballad 27B?
No — Darkidol Ballad 27B requires at least 54.5 GB at BF16, which exceeds the NVIDIA GeForce RTX 5090's 32 GB of VRAM.
- Can I run Darkidol Ballad 27B on a Mac?
Darkidol Ballad 27B requires at least 54.5 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 Darkidol Ballad 27B locally?
Yes — Darkidol Ballad 27B can run locally on consumer hardware. At BF16 quantization it needs 54.5 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is Darkidol Ballad 27B?
At BF16, Darkidol Ballad 27B 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 ÷ 54.5 × 0.65 = ~95 tok/s
Estimated speed at BF16 (54.5 GB)
~95 tok/s~95 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 Darkidol Ballad 27B?
At BF16, the download is about 53.79 GB.
- Which GPUs can run Darkidol Ballad 27B?
No single consumer GPU has enough VRAM to run Darkidol Ballad 27B at BF16 (54.5 GB). Multi-GPU or professional hardware is required.
- Which devices can run Darkidol Ballad 27B?
23 devices with unified memory can run Darkidol Ballad 27B at BF16 (54.5 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.