Can I Run Qwen 2.5 Family on NVIDIA GeForce RTX 4070 Ti?
Written by Jakub Rusinowski · Last updated September 29, 2026
Yes, but it's tight — 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 ~1.1 GB of the NVIDIA GeForce RTX 4070 Ti's 12 GB, at ~45 tok/s (est.), with room for up to 8K context.
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NVIDIA GeForce RTX 4070 Ti Specs
| VRAM | 12 GB |
| Memory Bandwidth | 504 GB/s |
Qwen 2.5 14B Instruct on the NVIDIA GeForce RTX 4070 Ti: VRAM by quantization
| Quant | VRAM needed | Fits 12 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 30.4 GB | ✗ No | — | — |
| Q8_0 | 17.3 GB | ✗ No | — | — |
| Q6_K | 13.9 GB | ✗ No | — | — |
| Q5_K_M | 12.3 GB | ✗ No | — | — |
| Q4_K_M | 10.9 GB | ✓ Yes | 8K | — |
| Q3_K_M | 8.4 GB | ✓ Yes | 16K | — |
| 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 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 Ti: 8K 10.9 GB · 32K 15.7 GB ✗ · 128K 35 GB ✗. Past 32K 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? 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 4070 Ti (at 8K context)
| Qwen 2.5 14B Instruct | Q4_K_M · 10.9 GB at 8K context · ~45 tok/s (est.) |
| Qwen 2.5 7B Instruct | Q4_K_M · 5.9 GB at 8K context · ~80 tok/s (est.) |
At 2 hrs/day, buying (~$799) beats renting at $0.34/hr after about 3.3 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
Does the NVIDIA GeForce RTX 4070 Ti have enough VRAM for Qwen 2.5 Family?
Yes, but it's tight — 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 ~1.1 GB of the NVIDIA GeForce RTX 4070 Ti's 12 GB, at ~45 tok/s (est.), with room for up to 8K context.
Which quantization of Qwen 2.5 Family should I use on the NVIDIA GeForce RTX 4070 Ti?
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 ~45 tokens/sec, up to 8K context.
Every Qwen 2.5 Family size on the NVIDIA GeForce RTX 4070 Ti
| Size | VRAM at 8K | Verdict | Speed |
|---|---|---|---|
| Qwen 2.5 72B Instruct | 47 GB | Does not fit | — |
| Qwen 2.5 Coder 32B | 22.3 GB | Does not fit | — |
| Qwen 2.5 14B Instruct | 10.9 GB | Runs | ~45 tok/s |
| Qwen 2.5 7B Instruct | 5.9 GB | Runs | ~80 tok/s |
Qwen 2.5 Family on Other GPUs
- Qwen 2.5 Family on NVIDIA GeForce RTX 5070
- Qwen 2.5 Family on NVIDIA GeForce RTX 4070 Super
- Qwen 2.5 Family on NVIDIA GeForce RTX 4070
- Qwen 2.5 Family on NVIDIA GeForce RTX 3060 (12GB)
- Qwen 2.5 Family on Intel Arc B580
Popular Models on the NVIDIA GeForce RTX 4070 Ti
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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