Granite 4.0 Tiny Preview — Hardware Requirements & GPU Compatibility
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Granite 4.0 Tiny Preview is a 6.7B-parameter open language model from IBM in the Granite family. It supports a context window of up to 131,072 tokens. At Q4_K_M it needs about 4.47 GB of VRAM — see which GPUs and Macs can run it below.
59.6K downloads
184 likesSpecifications
- Publisher
- IBM
- Family
- Granite
- Parameters
- 6.7B
- Architecture
- GraniteMoeHybridForCausalLM
- Context Length
- 131,072 tokens
- Vocabulary Size
- 49,160
- Release Date
- 2025-04-30
- License
- Apache 2.0
Get Started
HuggingFace
How Much VRAM Does Granite 4.0 Tiny Preview Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| Q2_K | 3.40 | 3.3 GB | 13.9 GB | 2.84 GB | 2-bit quantization with K-quant improvements |
| Q3_K_S | 3.50 | 3.4 GB | 14.0 GB | 2.92 GB | 3-bit small quantization |
| Q3_K_M | 3.90 | 3.7 GB | 14.3 GB | 3.25 GB | 3-bit medium quantization |
| Q4_0 | 4.00 | 3.8 GB | 14.4 GB | 3.34 GB | 4-bit legacy quantization |
| Q4_K_M | 4.80 | 4.5 GB | 15.0 GB | 4.00 GB | 4-bit medium quantization — most popular sweet spot |
| Q5_K_M | 5.70 | 5.2 GB | 15.8 GB | 4.75 GB | 5-bit medium quantization — good quality/size tradeoff |
| Q6_K | 6.60 | 6.0 GB | 16.5 GB | 5.50 GB | 6-bit quantization, very good quality |
| Q8_0 | 8.00 | 7.1 GB | 17.7 GB | 6.67 GB | 8-bit quantization, near-lossless |
Which GPUs Can Run Granite 4.0 Tiny Preview?
Q4_K_M · 4.5 GBGranite 4.0 Tiny Preview (Q4_K_M) requires 4.5 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 6+ GB is recommended. Using the full 131K context window can add up to 10.6 GB, bringing total usage to 15.0 GB. 52 GPUs can run it, including NVIDIA GeForce RTX 5090, NVIDIA GeForce RTX 3090 Ti.
Runs great
— Plenty of headroomWhich Devices Can Run Granite 4.0 Tiny Preview?
Q4_K_M · 4.5 GB59 devices with unified memory can run Granite 4.0 Tiny Preview, including NVIDIA DGX H100, NVIDIA DGX A100 640GB, iPhone 17.
Runs great
— Plenty of headroom
Decent
— Enough memory, may be tightWhere to Download Granite 4.0 Tiny Preview
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 Granite 4.0 Tiny Preview need?
Granite 4.0 Tiny Preview requires 4.5 GB of VRAM at Q4_K_M, or 13.8 GB at BF16. Full 131K context adds up to 10.6 GB (15.0 GB total).
VRAM = Weights + KV Cache + Overhead
Weights = 6.7B × 4.8 bits ÷ 8 = 4 GB
KV Cache + Overhead ≈ 0.5 GB (at 2K context + ~0.3 GB framework)
KV Cache + Overhead ≈ 11 GB (at full 131K context)
VRAM usage by quantization
Q4_K_M4.5 GBQ4_K_M + full context15.0 GB- What's the best quantization for Granite 4.0 Tiny Preview?
For Granite 4.0 Tiny Preview, Q4_K_M (4.5 GB) offers the best balance of quality and VRAM usage. Q4_K_L (4.5 GB) provides better quality if you have the VRAM. The smallest option is IQ2_M at 2.7 GB.
VRAM requirement by quantization
IQ2_M2.7 GBIQ3_M3.5 GBIQ4_NL4.2 GBQ4_K_M ★4.5 GBQ5_K_S5.0 GBBF1613.8 GB★ Recommended — best balance of quality and VRAM usage.
- Can I run Granite 4.0 Tiny Preview on a Mac?
Granite 4.0 Tiny Preview requires at least 2.7 GB at IQ2_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 4.0 Tiny Preview locally?
Yes — Granite 4.0 Tiny Preview can run locally on consumer hardware. At Q4_K_M quantization it needs 4.5 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is Granite 4.0 Tiny Preview?
At Q4_K_M, Granite 4.0 Tiny Preview can reach ~122 tok/s on AMD Instinct MI350X. On NVIDIA GeForce RTX 4090: ~276 tok/s. 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 ÷ 4.5 × 0.65 = ~420 tok/s
Estimated speed at Q4_K_M (4.5 GB)
~420 tok/s~276 tok/s~420 tok/s~401 tok/sReal-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.
- What's the download size of Granite 4.0 Tiny Preview?
At Q4_K_M, the download is about 4.00 GB. The full-precision BF16 version is 13.34 GB. The smallest option (IQ2_M) is 2.25 GB.
- Which GPUs can run Granite 4.0 Tiny Preview?
52 consumer GPUs can run Granite 4.0 Tiny Preview at Q4_K_M (4.5 GB). Top options include AMD Radeon RX 6700 XT, AMD Radeon RX 6800, AMD Radeon RX 6800 XT. 52 GPUs have plenty of headroom for comfortable inference.
- Which devices can run Granite 4.0 Tiny Preview?
59 devices with unified memory can run Granite 4.0 Tiny Preview at Q4_K_M (4.5 GB), including AMD Ryzen AI 9 HX 370 (Strix Point) Laptop, ASUS Ascent GX10, Apple iPhone 17 Pro, Asus ROG Flow Z13 (2025, 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.