Granite 4.1 3B GGUF — Hardware Requirements & GPU Compatibility
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Granite 4.1 3B GGUF is a 3B-parameter open language model from mrutkows. At Q4_K_M it needs about 1.98 GB of VRAM — see which GPUs and Macs can run it below.
14 downloadsSpecifications
- Publisher
- mrutkows
- Parameters
- 3B
Get Started
HuggingFace
How Much VRAM Does Granite 4.1 3B GGUF Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| Q4_K_M | 4.80 | 2.0 GB | — | 1.80 GB | 4-bit medium quantization — most popular sweet spot |
| Q5_K_M | 5.70 | 2.4 GB | — | 2.14 GB | 5-bit medium quantization — good quality/size tradeoff |
| Q8_0 | 8.00 | 3.3 GB | — | 3.00 GB | 8-bit quantization, near-lossless |
Which GPUs Can Run Granite 4.1 3B GGUF?
Q4_K_M · 2.0 GBGranite 4.1 3B GGUF (Q4_K_M) requires 2.0 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 3+ GB is recommended. 35 GPUs can run it, including NVIDIA GeForce RTX 5090, NVIDIA GeForce RTX 3090 Ti.
Runs great
— Plenty of headroomWhich Devices Can Run Granite 4.1 3B GGUF?
Q4_K_M · 2.0 GB33 devices with unified memory can run Granite 4.1 3B GGUF, including NVIDIA DGX H100, NVIDIA DGX A100 640GB.
Runs great
— Plenty of headroomRelated Models
Frequently Asked Questions
- How much VRAM does Granite 4.1 3B GGUF need?
Granite 4.1 3B GGUF requires 2.0 GB of VRAM at Q4_K_M, or 3.3 GB at Q8_0.
VRAM = Weights + KV Cache + Overhead
Weights = 3B × 4.8 bits ÷ 8 = 1.8 GB
KV Cache + Overhead ≈ 0.2 GB (at 2K context + ~0.3 GB framework)
VRAM usage by quantization
Q4_K_M2.0 GB- What's the best quantization for Granite 4.1 3B GGUF?
For Granite 4.1 3B GGUF, Q4_K_M (2.0 GB) offers the best balance of quality and VRAM usage. Q5_K_M (2.4 GB) provides better quality if you have the VRAM.
VRAM requirement by quantization
Q4_K_M ★2.0 GBQ5_K_M2.4 GBQ8_03.3 GB★ Recommended — best balance of quality and VRAM usage.
- Can I run Granite 4.1 3B GGUF on a Mac?
Granite 4.1 3B GGUF requires at least 2.0 GB at Q4_K_M, 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 Granite 4.1 3B GGUF locally?
Yes — Granite 4.1 3B GGUF can run locally on consumer hardware. At Q4_K_M quantization it needs 2.0 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is Granite 4.1 3B GGUF?
At Q4_K_M, Granite 4.1 3B GGUF can reach ~1472 tok/s on AMD Instinct MI300X. On NVIDIA GeForce RTX 4090: ~331 tok/s. 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 ÷ 2.0 × 0.55 = ~1472 tok/s
Estimated speed at Q4_K_M (2.0 GB)
~1472 tok/s~331 tok/s~1100 tok/s~910 tok/sReal-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.
- What's the download size of Granite 4.1 3B GGUF?
At Q4_K_M, the download is about 1.80 GB. The full-precision Q8_0 version is 3.00 GB.
- Which GPUs can run Granite 4.1 3B GGUF?
35 consumer GPUs can run Granite 4.1 3B GGUF at Q4_K_M (2.0 GB). Top options include AMD Radeon RX 6700 XT, AMD Radeon RX 6800, AMD Radeon RX 6800 XT. 35 GPUs have plenty of headroom for comfortable inference.
- Which devices can run Granite 4.1 3B GGUF?
33 devices with unified memory can run Granite 4.1 3B GGUF at Q4_K_M (2.0 GB), including Mac Mini M4 (16 GB), Mac Mini M4 (32 GB), Mac Mini M4 Pro (24 GB), Mac Mini M4 Pro (48 GB). Apple Silicon Macs use unified memory shared between CPU and GPU, making them well-suited for local LLM inference.