Can I Run Magistral Small on NVIDIA GeForce RTX 4060 Ti 16GB?
作者： Jakub Rusinowski · 最后更新： 2026年9月6日
Only with offload — Magistral Small 24B at Q4_K_M needs 17 GB at 8K context (14.5 GB weights + 2.5 GB KV cache/overhead) against the NVIDIA GeForce RTX 4060 Ti 16GB's 16 GB, so part of it spills onto CPU/system RAM and speed drops sharply.
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NVIDIA GeForce RTX 4060 Ti 16GB Specs
| VRAM | 16 GB |
| Memory Bandwidth | 288 GB/s |
Magistral Small 24B on the NVIDIA GeForce RTX 4060 Ti 16GB: VRAM by quantization
| Quant | VRAM needed | Fits 16 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 50.5 GB | ✗ No | — | — |
| Q8_0 | 28 GB | ✗ No | — | — |
| Q6_K | 22.2 GB | ✗ No | — | — |
| Q5_K_M | 19.5 GB | ✗ No | — | — |
| Q4_K_M | 17 GB | ✗ No | — | — |
| Q3_K_M | 12.7 GB | ✓ Yes | 16K | — |
| Q2_K | 10.4 GB | ✓ Yes | 32K | — |
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 16 GB. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.
Context costs VRAM too. At Q4_K_M on the NVIDIA GeForce RTX 4060 Ti 16GB: 8K 17 GB ✗ · 32K 22 GB ✗ · 128K 42.1 GB ✗. Past 8K it no longer fits 16 GB — a q8_0 KV cache buys roughly half of that back, which the calculator will price for you.
No compatible GPU? Magistral Small 24B on 16 GB of system RAM, CPU only: runs, but it is tight.
Why It Does Not Fit
Every Magistral Small variant requires more VRAM than the NVIDIA GeForce RTX 4060 Ti 16GB provides (16 GB).
Nearest GPU That Fits
AMD Radeon RX 7900 XT (20 GB VRAM).
Magistral Small needs ~17 GB but this GPU has 16 GB. Rent a RTX 4090 (24 GB)-class GPU by the hour instead of buying one:
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Cloud rates verified 2026-07 — estimates, and marketplace prices vary. Buying price is GPU MSRP only, not a full PC.
FAQ
Does the NVIDIA GeForce RTX 4060 Ti 16GB have enough VRAM for Magistral Small?
Only with offload — Magistral Small 24B at Q4_K_M needs 17 GB at 8K context (14.5 GB weights + 2.5 GB KV cache/overhead) against the NVIDIA GeForce RTX 4060 Ti 16GB's 16 GB, so part of it spills onto CPU/system RAM and speed drops sharply.
Which GPU can actually run Magistral Small?
The AMD Radeon RX 7900 XT (20 GB VRAM) is the cheapest upgrade that fits it.
Magistral Small on Other GPUs
- Magistral Small on NVIDIA GeForce RTX 5080
- Magistral Small on NVIDIA GeForce RTX 5070 Ti
- Magistral Small on NVIDIA GeForce RTX 5060 Ti 16GB
- Magistral Small on NVIDIA GeForce RTX 4080 Super
- Magistral Small on NVIDIA GeForce RTX 4080
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VRAM Tier
Troubleshooting
- Ollama: "model requires more system memory than is available"
- Out of memory at long context (the KV cache, not the weights)
Buying Guide
← Can I Run It? | Magistral Small Model Page | NVIDIA GeForce RTX 4060 Ti 16GB GPU Page | VRAM calculator | Check Your Hardware