Can I Run Devstral on NVIDIA GeForce RTX 4070 Super?
Written by Jakub Rusinowski · Last updated September 29, 2026
No — Devstral 2 22B at Q4_K_M needs 15.7 GB at 8K context (13.3 GB weights + 2.4 GB KV cache/overhead), and the NVIDIA GeForce RTX 4070 Super's 12 GB leaves it ~3.7 GB short. The cheapest card that runs it is the NVIDIA GeForce RTX 4090 Laptop GPU (16 GB).
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NVIDIA GeForce RTX 4070 Super Specs
| VRAM | 12 GB |
| Memory Bandwidth | 504 GB/s |
Devstral 2 22B on the NVIDIA GeForce RTX 4070 Super: VRAM by quantization
| Quant | VRAM needed | Fits 12 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 46.4 GB | ✗ No | — | — |
| Q8_0 | 25.8 GB | ✗ No | — | — |
| Q6_K | 20.5 GB | ✗ No | — | — |
| Q5_K_M | 18 GB | ✗ No | — | — |
| Q4_K_M | 15.7 GB | ✗ No | — | — |
| Q3_K_M | 11.8 GB | ✓ Yes | 8K | — |
| Q2_K | 9.6 GB | ✓ Yes | 16K | — |
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 12 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 4070 Super: 8K 15.7 GB ✗ · 32K 20.5 GB ✗ · 125K 39.2 GB ✗. Past 8K it no longer fits 12 GB — a q8_0 KV cache buys roughly half of that back, which the calculator will price for you.
No compatible GPU? Devstral 2 22B on 16 GB of system RAM, CPU only: runs, but it is tight.
Why It Does Not Fit
Every Devstral variant requires more VRAM than the NVIDIA GeForce RTX 4070 Super provides (12 GB).
Nearest GPU That Fits
NVIDIA GeForce RTX 4090 Laptop GPU (16 GB VRAM).
Devstral needs ~16 GB but this GPU has 12 GB. Rent a RTX 4090 (24 GB)-class GPU by the hour instead of buying one:
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FAQ
Does the NVIDIA GeForce RTX 4070 Super have enough VRAM for Devstral?
No — Devstral 2 22B at Q4_K_M needs 15.7 GB at 8K context (13.3 GB weights + 2.4 GB KV cache/overhead), and the NVIDIA GeForce RTX 4070 Super's 12 GB leaves it ~3.7 GB short. The cheapest card that runs it is the NVIDIA GeForce RTX 4090 Laptop GPU (16 GB).
Which GPU can actually run Devstral?
The NVIDIA GeForce RTX 4090 Laptop GPU (16 GB VRAM) is the cheapest upgrade that fits it.
Every Devstral size on the NVIDIA GeForce RTX 4070 Super
| Size | VRAM at 8K | Verdict | Speed |
|---|---|---|---|
| Devstral-2 123B | 77.9 GB | Does not fit | — |
| Devstral Small 2505 24B | 16.6 GB | Runs at Q2_K | — |
| Devstral Small 2 24B | 16.6 GB | Runs at Q2_K | — |
Devstral on Other GPUs
- Devstral on NVIDIA GeForce RTX 5070
- Devstral on NVIDIA GeForce RTX 4070 Ti
- Devstral on NVIDIA GeForce RTX 4070
- Devstral on NVIDIA GeForce RTX 3060 (12GB)
- Devstral on Intel Arc B580
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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
← Can I Run It? | Devstral Model Page | NVIDIA GeForce RTX 4070 Super GPU Page | VRAM calculator | Check Your Hardware