allura-org·Qwen 2.5·Qwen2ForCausalLM

Qwen2.5 72B RP Ink — Hardware Requirements & GPU Compatibility

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Qwen2.5 72B RP Ink is a 72.7B-parameter open language model from allura-org in the Qwen 2.5 family. It supports a context window of up to 32,768 tokens. At Q4_K_M it needs about 44.59 GB of VRAM — see which GPUs and Macs can run it below.

9 downloads 9 likes 1.2K quant downloads33K context

Specifications

Publisher
allura-org
Family
Qwen 2.5
Parameters
72.7B
Architecture
Qwen2ForCausalLM
Context Length
32,768 tokens
Vocabulary Size
152,064
Release Date
2025-01-12
License
Other

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How Much VRAM Does Qwen2.5 72B RP Ink Need?

Select a quantization to see compatible GPUs below.

QuantizationBitsVRAM
Q2_K3.4031.9 GB
Q3_K_S3.5032.8 GB
Q3_K_M3.9036.4 GB
Q4_04.0037.3 GB
Q4_K_M4.8044.6 GB
Q5_K_M5.7052.8 GB
Q6_K6.6061.0 GB
Q8_08.0073.7 GB

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 Qwen2.5 72B RP Ink?

Q4_K_M · 44.6 GB

Qwen2.5 72B RP Ink (Q4_K_M) requires 44.6 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 58+ GB is recommended. Using the full 33K context window can add up to 10.1 GB, bringing total usage to 54.7 GB. No single GPU has enough memory — multi-GPU or cluster setups are needed.

Which Devices Can Run Qwen2.5 72B RP Ink?

Q4_K_M · 44.6 GB

26 devices with unified memory can run Qwen2.5 72B RP Ink, including NVIDIA DGX H100, NVIDIA DGX A100 640GB, Mac Studio M4 Max (64 GB).

Where to Download Qwen2.5 72B RP Ink

Community quantizations of this model — GGUF for llama.cpp, Ollama, and LM Studio, plus AWQ/MLX variants where available.

Related Models

Frequently Asked Questions

How much VRAM does Qwen2.5 72B RP Ink need?

Qwen2.5 72B RP Ink requires 44.6 GB of VRAM at Q4_K_M, or 146.4 GB at BF16. Full 33K context adds up to 10.1 GB (54.7 GB total).

VRAM = Weights + KV Cache + Overhead

Weights = 72.7B × 4.8 bits ÷ 8 = 43.6 GB

KV Cache + Overhead 1 GB (at 2K context + ~0.3 GB framework)

KV Cache + Overhead 11.1 GB (at full 33K context)

VRAM usage by quantization

44.6 GB
54.7 GB

Learn more about VRAM estimation →

Can NVIDIA GeForce RTX 4090 run Qwen2.5 72B RP Ink?

Yes, at IQ2_S (23.7 GB) or lower. Higher quantizations like IQ2_M (25.5 GB) exceed the NVIDIA GeForce RTX 4090's 24 GB.

What's the best quantization for Qwen2.5 72B RP Ink?

For Qwen2.5 72B RP Ink, Q4_K_M (44.6 GB) offers the best balance of quality and VRAM usage. Q5_K_S (51.0 GB) provides better quality if you have the VRAM. The smallest option is IQ2_XXS at 21.0 GB.

VRAM requirement by quantization

IQ2_XXS
21.0 GB
Q2_K
31.9 GB
Q3_K_L
38.2 GB
Q4_K_M
44.6 GB
Q5_K_S
51.0 GB
BF16
146.4 GB

★ Recommended — best balance of quality and VRAM usage.

Learn more about quantization →

Can I run Qwen2.5 72B RP Ink on a Mac?

Qwen2.5 72B RP Ink requires at least 21.0 GB at IQ2_XXS, 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 Qwen2.5 72B RP Ink locally?

Yes — Qwen2.5 72B RP Ink can run locally on consumer hardware. At Q4_K_M quantization it needs 44.6 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.

How fast is Qwen2.5 72B RP Ink?

At Q4_K_M, Qwen2.5 72B RP Ink can reach ~99 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 B2008000 ÷ 44.6 × 0.65 = ~117 tok/s

Estimated speed at Q4_K_M (44.6 GB)

~117 tok/s
~117 tok/s
~99 tok/s

Real-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.

Learn more about tok/s estimation →

What's the download size of Qwen2.5 72B RP Ink?

At Q4_K_M, the download is about 43.62 GB. The full-precision BF16 version is 145.41 GB. The smallest option (IQ2_XXS) is 19.99 GB.

Which GPUs can run Qwen2.5 72B RP Ink?

No single consumer GPU has enough VRAM to run Qwen2.5 72B RP Ink at Q4_K_M (44.6 GB). Multi-GPU or professional hardware is required.

Which devices can run Qwen2.5 72B RP Ink?

27 devices with unified memory can run Qwen2.5 72B RP Ink at Q4_K_M (44.6 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.