Can I Run Qwen 2.5 Family on NVIDIA GeForce RTX 4080?
Written by Jakub Rusinowski · Last updated July 12, 2026
Yes, comfortably — Qwen 2.5 14B Instruct at Q4_K_M needs 10.9 GB at 8K context (8.5 GB weights + 2.4 GB KV cache/overhead), leaving ~5.1 GB of the NVIDIA GeForce RTX 4080's 16 GB, at ~62 tok/s (est.), with room for up to 32K context.
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NVIDIA GeForce RTX 4080 Specs
| VRAM | 16 GB |
| Memory Bandwidth | 717 GB/s |
Qwen 2.5 14B Instruct on the NVIDIA GeForce RTX 4080: VRAM by quantization
| Quant | VRAM needed | Fits 16 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 30.4 GB | ✗ No | — | — |
| Q8_0 | 17.3 GB | ✗ No | — | — |
| Q6_K | 13.9 GB | ✓ Yes | 16K | — |
| Q5_K_M | 12.3 GB | ✓ Yes | 16K | — |
| Q4_K_M | 10.9 GB | ✓ Yes | 32K | — |
| Q3_K_M | 8.4 GB | ✓ Yes | 32K | — |
| Q2_K | 7 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 10.9 GB · 32K 15.7 GB · 128K 35 GB ✗. Past 128K 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? Qwen 2.5 14B Instruct on 16 GB of system RAM, CPU only: runs, but it is tight.
Qwen 2.5 Family Sizes That Fit the NVIDIA GeForce RTX 4080 (at 8K context)
| Qwen 2.5 14B Instruct | Q4_K_M · 10.9 GB at 8K context · ~62 tok/s (est.) |
| Qwen 2.5 7B Instruct | Q4_K_M · 5.9 GB at 8K context · ~105 tok/s (est.) |
At 2 hrs/day, buying (~$1,199) beats renting at $0.34/hr after about 4.9 years.
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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
Will Qwen 2.5 Family run on the NVIDIA GeForce RTX 4080?
Yes, comfortably — Qwen 2.5 14B Instruct at Q4_K_M needs 10.9 GB at 8K context (8.5 GB weights + 2.4 GB KV cache/overhead), leaving ~5.1 GB of the NVIDIA GeForce RTX 4080's 16 GB, at ~62 tok/s (est.), with room for up to 32K context.
Which Qwen 2.5 Family variant fits best on the NVIDIA GeForce RTX 4080?
Qwen 2.5 14B Instruct at Q4_K_M quantization needs 10.9 GB at 8K context (8.5 GB weights + 2.4 GB KV cache/overhead), estimated ~62 tokens/sec, up to 32K context.
Every Qwen 2.5 Family size on the NVIDIA GeForce RTX 4080
| Size | VRAM at 8K | Verdict | Speed |
|---|---|---|---|
| Qwen 2.5 72B Instruct | 47 GB | Does not fit | — |
| Qwen 2.5 Coder 32B | 22.3 GB | Runs at Q2_K | — |
| Qwen 2.5 14B Instruct | 10.9 GB | Runs | ~62 tok/s |
| Qwen 2.5 7B Instruct | 5.9 GB | Runs | ~105 tok/s |
Qwen 2.5 Family on Other GPUs
- Qwen 2.5 Family on NVIDIA GeForce RTX 5080
- Qwen 2.5 Family on NVIDIA GeForce RTX 5070 Ti
- Qwen 2.5 Family on NVIDIA GeForce RTX 5060 Ti 16GB
- Qwen 2.5 Family on NVIDIA GeForce RTX 4080 Super
- Qwen 2.5 Family on NVIDIA GeForce RTX 4070 Ti Super
Popular Models on the NVIDIA GeForce RTX 4080
VRAM Tier
Troubleshooting
Buying Guide
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