Can I Run Codestral on NVIDIA GeForce RTX 4080?
Written by Jakub Rusinowski · Last updated July 12, 2026
Only with offload — Codestral 22B at Q4_K_M needs 16.1 GB at 8K context (13.4 GB weights + 2.7 GB KV cache/overhead) against the NVIDIA GeForce RTX 4080's 16 GB, so part of it spills onto CPU/system RAM and speed drops sharply.
Get a personalized upgrade path →
or compare on Vast.ai from $0.35/hr (typical low · varies)
As an Amazon Associate we earn from qualifying purchases. Cloud GPU links are referral links — we may earn a commission at no extra cost to you.
NVIDIA GeForce RTX 4080 Specs
| VRAM | 16 GB |
| Memory Bandwidth | 717 GB/s |
Codestral 22B on the NVIDIA GeForce RTX 4080: VRAM by quantization
| Quant | VRAM needed | Fits 16 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 47.1 GB | ✗ No | — | — |
| Q8_0 | 26.3 GB | ✗ No | — | — |
| Q6_K | 20.9 GB | ✗ No | — | — |
| Q5_K_M | 18.4 GB | ✗ No | — | — |
| Q4_K_M | 16.1 GB | ✗ No | — | — |
| Q3_K_M | 12.1 GB | ✓ Yes | 16K | — |
| Q2_K | 10 GB | ✓ Yes | 32K | — |
Assumes an 8K-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: 8K 16.1 GB ✗ · 32K 21.7 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? Codestral 22B on 16 GB of system RAM, CPU only: runs, but it is tight.
Why It Does Not Fit
Every Codestral variant requires more VRAM than the NVIDIA GeForce RTX 4080 provides (16 GB).
Nearest GPU That Fits
AMD Radeon RX 7900 XT (20 GB VRAM).
Codestral needs ~16 GB but this GPU has 16 GB. Rent a RTX 4090 (24 GB)-class GPU by the hour instead of buying one:
Affiliate links — we may earn a commission if you sign up, at no extra cost to you.
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 have enough VRAM for Codestral?
Only with offload — Codestral 22B at Q4_K_M needs 16.1 GB at 8K context (13.4 GB weights + 2.7 GB KV cache/overhead) against the NVIDIA GeForce RTX 4080's 16 GB, so part of it spills onto CPU/system RAM and speed drops sharply.
Which GPU can actually run Codestral?
The AMD Radeon RX 7900 XT (20 GB VRAM) is the cheapest upgrade that fits it.
Codestral on Other GPUs
- Codestral on NVIDIA GeForce RTX 5080
- Codestral on NVIDIA GeForce RTX 5070 Ti
- Codestral on NVIDIA GeForce RTX 5060 Ti 16GB
- Codestral on NVIDIA GeForce RTX 4080 Super
- Codestral on NVIDIA GeForce RTX 4070 Ti Super
Popular Models on the NVIDIA GeForce RTX 4080
- DeepSeek R1 on NVIDIA GeForce RTX 4080
- Qwen 3 on NVIDIA GeForce RTX 4080
- Qwen 2.5 Family on NVIDIA GeForce RTX 4080
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? | Codestral Model Page | NVIDIA GeForce RTX 4080 GPU Page | VRAM calculator | Check Your Hardware