Can I Run Aya 3B (Tiny Aya) on NVIDIA GeForce RTX 4060?
Written by Jakub Rusinowski · Last updated July 12, 2026
Yes, comfortably — Aya 3B at Q4_K_M needs 3.5 GB at 8K context (1.8 GB weights + 1.7 GB KV cache/overhead), leaving ~4.5 GB of the NVIDIA GeForce RTX 4060's 8 GB, at ~90 tok/s (est.), with room for up to 8K context.
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NVIDIA GeForce RTX 4060 Specs
| VRAM | 8 GB |
| Memory Bandwidth | 272 GB/s |
Aya 3B on the NVIDIA GeForce RTX 4060: VRAM by quantization
| Quant | VRAM needed | Fits 8 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 7.6 GB | ✓ Yes | 8K | — |
| Q8_0 | 4.8 GB | ✓ Yes | 8K | — |
| Q6_K | 4.1 GB | ✓ Yes | 8K | — |
| Q5_K_M | 3.8 GB | ✓ Yes | 8K | — |
| Q4_K_M | 3.5 GB | ✓ Yes | 8K | — |
| Q3_K_M | 2.9 GB | ✓ Yes | 8K | — |
| Q2_K | 2.6 GB | ✓ Yes | 8K | — |
Assumes an 8K-token context with an f16 KV cache, on an estimated architecture — this model publishes no config we can read. A longer window needs more; a quantized KV cache needs less. “Max context” is the largest window that still fits in 8 GB. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.
No compatible GPU? Aya 3B on 8 GB of system RAM, CPU only: runs comfortably.
Aya 3B (Tiny Aya) Sizes That Fit the NVIDIA GeForce RTX 4060 (at 8K context)
| Aya 3B | Q4_K_M · 3.5 GB at 8K context · ~90 tok/s (est.) |
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FAQ
Does the NVIDIA GeForce RTX 4060 have enough VRAM for Aya 3B (Tiny Aya)?
Yes, comfortably — Aya 3B at Q4_K_M needs 3.5 GB at 8K context (1.8 GB weights + 1.7 GB KV cache/overhead), leaving ~4.5 GB of the NVIDIA GeForce RTX 4060's 8 GB, at ~90 tok/s (est.), with room for up to 8K context.
Which quantization of Aya 3B (Tiny Aya) should I use on the NVIDIA GeForce RTX 4060?
Aya 3B at Q4_K_M quantization needs 3.5 GB at 8K context (1.8 GB weights + 1.7 GB KV cache/overhead), estimated ~90 tokens/sec, up to 8K context.
Aya 3B (Tiny Aya) on Other GPUs
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VRAM Tier
Troubleshooting
Buying Guide
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