Bonsai 2 27B CRACK Ternary JANG — Hardware Requirements & GPU Compatibility
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Bonsai 2 27B CRACK Ternary JANG is a 27.4B-parameter open language model from dealignai. It supports a context window of up to 262,144 tokens. At BF16 it needs about 55.47 GB of VRAM — see which GPUs and Macs can run it below.
3.5K downloads
15 likesSpecifications
- Publisher
- dealignai
- Parameters
- 27.4B
- Architecture
- Qwen3_5ForConditionalGeneration
- Context Length
- 262,144 tokens
- Vocabulary Size
- 248,320
- Release Date
- 2026-09-18
- License
- Apache 2.0
Get Started
HuggingFace
How Much VRAM Does Bonsai 2 27B CRACK Ternary JANG Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| BF16est. | 16.00 | 55.5 GB | 112.3 GB | 54.72 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 Bonsai 2 27B CRACK Ternary JANG?
BF16 · 55.5 GBBonsai 2 27B CRACK Ternary JANG (BF16) requires 55.5 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 73+ GB is recommended. Using the full 262K context window can add up to 56.8 GB, bringing total usage to 112.3 GB. No single GPU has enough memory — multi-GPU or cluster setups are needed.
Which Devices Can Run Bonsai 2 27B CRACK Ternary JANG?
BF16 · 55.5 GB22 devices with unified memory can run Bonsai 2 27B CRACK Ternary JANG, including NVIDIA DGX H100, NVIDIA DGX A100 640GB, Mac Studio (M3 Ultra, 96GB).
Runs great
— Plenty of headroom
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Frequently Asked Questions
- How much VRAM does Bonsai 2 27B CRACK Ternary JANG need?
Bonsai 2 27B CRACK Ternary JANG requires 55.5 GB of VRAM at BF16. Full 262K context adds up to 56.8 GB (112.3 GB total).
VRAM = Weights + KV Cache + Overhead
Weights = 27.4B × 16 bits ÷ 8 = 54.7 GB
KV Cache + Overhead ≈ 0.8 GB (at 2K context + ~0.3 GB framework)
KV Cache + Overhead ≈ 57.6 GB (at full 262K context)
VRAM usage by quantization
BF1655.5 GBBF16 + full context112.3 GB- Can NVIDIA GeForce RTX 5090 run Bonsai 2 27B CRACK Ternary JANG?
No — Bonsai 2 27B CRACK Ternary JANG requires at least 55.5 GB at BF16, which exceeds the NVIDIA GeForce RTX 5090's 32 GB of VRAM.
- Can I run Bonsai 2 27B CRACK Ternary JANG on a Mac?
Bonsai 2 27B CRACK Ternary JANG requires at least 55.5 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 Bonsai 2 27B CRACK Ternary JANG locally?
Yes — Bonsai 2 27B CRACK Ternary JANG can run locally on consumer hardware. At BF16 quantization it needs 55.5 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is Bonsai 2 27B CRACK Ternary JANG?
At BF16, Bonsai 2 27B CRACK Ternary JANG can reach ~87 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 ÷ 55.5 × 0.65 = ~94 tok/s
Estimated speed at BF16 (55.5 GB)
~94 tok/s~94 tok/s~87 tok/sReal-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.
- What's the download size of Bonsai 2 27B CRACK Ternary JANG?
At BF16, the download is about 54.72 GB.
- Which GPUs can run Bonsai 2 27B CRACK Ternary JANG?
No single consumer GPU has enough VRAM to run Bonsai 2 27B CRACK Ternary JANG at BF16 (55.5 GB). Multi-GPU or professional hardware is required.
- Which devices can run Bonsai 2 27B CRACK Ternary JANG?
23 devices with unified memory can run Bonsai 2 27B CRACK Ternary JANG at BF16 (55.5 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.