Cope B A4b — Hardware Requirements & GPU Compatibility
Chat
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
- 2026-05-29
- 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 |
|---|---|---|---|---|---|
| BF16 | 16.00 | 51.1 GB | 95.1 GB | 50.47 GB | Brain floating point 16 — preferred for training |
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 GB8 devices with unified memory can run Cope B A4b, including NVIDIA DGX H100, NVIDIA DGX A100 640GB, Mac Studio M4 Max (64 GB).
Runs great
— Plenty of headroom
Decent
— Enough memory, may be tightRelated Models
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 ~57 tok/s on AMD Instinct MI300X. Speed depends mainly on GPU memory bandwidth. Real-world results typically within ±20%.
tok/s = (bandwidth GB/s ÷ model GB) × efficiency
Example: AMD Instinct MI300X → 5300 ÷ 51.1 × 0.55 = ~57 tok/s
Estimated speed at BF16 (51.1 GB)
~57 tok/s~43 tok/s~35 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?
8 devices with unified memory can run Cope B A4b at BF16 (51.1 GB), including Mac Pro M2 Ultra (192 GB), Mac Studio M2 Ultra (192 GB), Mac Studio M4 Max (128 GB), Mac Studio M4 Max (64 GB). Apple Silicon Macs use unified memory shared between CPU and GPU, making them well-suited for local LLM inference.