Cope B A4b — Hardware Requirements & GPU Compatibility
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Cope B A4b is a 25.2B-parameter open language model from zentropi-ai. It supports a context window of up to 262,144 tokens. At BF16 it needs about 51.11 GB of VRAM — see which GPUs and Macs can run it below.
488 downloads
4 likesSpecifications
- Publisher
- zentropi-ai
- Parameters
- 25.2B
- Architecture
- Gemma4ForCausalLM
- Context Length
- 262,144 tokens
- Vocabulary Size
- 262,144
- Release Date
- 2026-05-18
- License
- Apache 2.0
Get Started
HuggingFace
How Much VRAM Does Cope B A4b Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| BF16est. | 16.00 | 51.1 GB | 95.1 GB | 50.47 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 Cope B A4b?
BF16 · 51.1 GBCope B A4b (BF16) requires 51.1 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 67+ GB is recommended. Using the full 262K context window can add up to 44.0 GB, bringing total usage to 95.1 GB. No single GPU has enough memory — multi-GPU or cluster setups are needed.
Which Devices Can Run Cope B A4b?
BF16 · 51.1 GB22 devices with unified memory can run Cope B A4b, including NVIDIA DGX H100, NVIDIA DGX A100 640GB, Mac Studio (M3 Ultra, 96GB).
Runs great
— Plenty of headroom
Frequently Asked Questions
- How much VRAM does Cope B A4b need?
Cope B A4b requires 51.1 GB of VRAM at BF16. Full 262K context adds up to 44.0 GB (95.1 GB total).
VRAM = Weights + KV Cache + Overhead
Weights = 25.2B × 16 bits ÷ 8 = 50.5 GB
KV Cache + Overhead ≈ 0.6 GB (at 2K context + ~0.3 GB framework)
KV Cache + Overhead ≈ 44.6 GB (at full 262K context)
VRAM usage by quantization
BF1651.1 GBBF16 + full context95.1 GB- Can NVIDIA GeForce RTX 5090 run Cope B A4b?
No — Cope B A4b requires at least 51.1 GB at BF16, which exceeds the NVIDIA GeForce RTX 5090's 32 GB of VRAM.
- Can I run Cope B A4b on a Mac?
Cope B A4b requires at least 51.1 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 Cope B A4b locally?
Yes — Cope B A4b can run locally on consumer hardware. At BF16 quantization it needs 51.1 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is Cope B A4b?
At BF16, Cope B A4b can reach ~86 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 ÷ 51.1 × 0.65 = ~102 tok/s
Estimated speed at BF16 (51.1 GB)
~102 tok/s~102 tok/s~86 tok/sReal-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.
- What's the download size of Cope B A4b?
At BF16, the download is about 50.47 GB.
- Which GPUs can run Cope B A4b?
No single consumer GPU has enough VRAM to run Cope B A4b at BF16 (51.1 GB). Multi-GPU or professional hardware is required.
- Which devices can run Cope B A4b?
23 devices with unified memory can run Cope B A4b at BF16 (51.1 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.