Can I Run Devstral on NVIDIA GeForce RTX 4080 Super?
作者： Jakub Rusinowski · 最后更新： 2026年9月11日
Yes, but it's tight — Devstral Small 2505 24B at Q4_K_M needs 14.5 GB of the NVIDIA GeForce RTX 4080 Super's 16 GB, leaving only ~1.5 GB, ~41 tok/s (est.) with room for up to 4K context.
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NVIDIA GeForce RTX 4080 Super Specs
| VRAM | 16 GB |
| Memory Bandwidth | 736 GB/s |
Devstral Small 2505 24B on the NVIDIA GeForce RTX 4080 Super: VRAM by quantization
| Quant | VRAM needed | Fits 16 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 49.5 GB | ✗ No | — | — |
| Q8_0 | 27 GB | ✗ No | — | — |
| Q6_K | 21.2 GB | ✗ No | — | — |
| Q5_K_M | 18.5 GB | ✗ No | — | — |
| Q4_K_M | 16 GB | ✓ Yes | 4K | — |
| Q3_K_M | 11.7 GB | ✓ Yes | 16K | — |
| Q2_K | 9.4 GB | ✓ Yes | 32K | — |
Assumes a 4K-token context with an f16 KV cache. 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 4080 Super: 8K 16.6 GB ✗ · 32K 20.7 GB ✗ · 128K 36.8 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? Devstral Small 2505 24B on 24 GB of system RAM, CPU only: runs comfortably.
Devstral Sizes That Fit the NVIDIA GeForce RTX 4080 Super
| Devstral Small 2505 24B | Q4_K_M · 14.5 GB · ~41 tok/s (est.) |
| Devstral 2 22B | Q4_K_M · 13.3 GB · ~44 tok/s (est.) |
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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 4080 Super have enough VRAM for Devstral?
Yes, but it's tight — Devstral Small 2505 24B at Q4_K_M needs 14.5 GB of the NVIDIA GeForce RTX 4080 Super's 16 GB, leaving only ~1.5 GB, ~41 tok/s (est.) with room for up to 4K context.
Which quantization of Devstral should I use on the NVIDIA GeForce RTX 4080 Super?
Devstral Small 2505 24B at Q4_K_M quantization (14.5 GB), estimated ~41 tokens/sec, up to 4K context.
Every Devstral size on the NVIDIA GeForce RTX 4080 Super
| Size | VRAM | Verdict | Speed |
|---|---|---|---|
| Devstral-2 123B | 74.3 GB | Does not fit | — |
| Devstral Small 2505 24B | 14.5 GB | Runs | ~41 tok/s |
| Devstral Small 2 24B | 14.5 GB | Runs at Q3_K_M | — |
| Devstral 2 22B | 13.3 GB | Runs | ~44 tok/s |
Devstral on Other GPUs
- Devstral on NVIDIA GeForce RTX 5080
- Devstral on NVIDIA GeForce RTX 5070 Ti
- Devstral on NVIDIA GeForce RTX 5060 Ti 16GB
- Devstral on NVIDIA GeForce RTX 4080
- Devstral on NVIDIA GeForce RTX 4070 Ti Super
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VRAM Tier
Troubleshooting
- CUDA out of memory — why it happens and how to fix it
- Which GGUF quant should I download? (Q4 vs Q5 vs Q8)
Buying Guide
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