Can I Run Qwen 2.5 VL on NVIDIA GeForce RTX 4070 Super?
作者： Jakub Rusinowski · 最后更新： 2026年9月29日
Yes, comfortably — Qwen 2.5 VL 7B Instruct at Q4_K_M needs 6.3 GB at 8K context (5 GB weights + 1.3 GB KV cache/overhead), leaving ~5.7 GB of the NVIDIA GeForce RTX 4070 Super's 12 GB, at ~74 tok/s (est.), with room for up to 64K context.
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NVIDIA GeForce RTX 4070 Super Specs
| VRAM | 12 GB |
| Memory Bandwidth | 504 GB/s |
Qwen 2.5 VL 7B Instruct on the NVIDIA GeForce RTX 4070 Super: VRAM by quantization
| Quant | VRAM needed | Fits 12 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 17.8 GB | ✗ No | — | — |
| Q8_0 | 10.1 GB | ✓ Yes | 32K | — |
| Q6_K | 8.1 GB | ✓ Yes | 64K | — |
| Q5_K_M | 7.1 GB | ✓ Yes | 64K | — |
| Q4_K_M | 6.3 GB | ✓ Yes | 64K | — |
| Q3_K_M | 4.8 GB | ✓ Yes | 64K | — |
| Q2_K | 4 GB | ✓ Yes | 64K | — |
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 Super: 8K 6.3 GB · 32K 7.7 GB · 125K 13.1 GB ✗. Past 125K 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 VL 7B Instruct on 8 GB of system RAM, CPU only: runs, but it is tight.
Qwen 2.5 VL Sizes That Fit the NVIDIA GeForce RTX 4070 Super (at 8K context)
| Qwen 2.5 VL 7B Instruct | Q4_K_M · 6.3 GB at 8K context · ~74 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 4070 Super have enough VRAM for Qwen 2.5 VL?
Yes, comfortably — Qwen 2.5 VL 7B Instruct at Q4_K_M needs 6.3 GB at 8K context (5 GB weights + 1.3 GB KV cache/overhead), leaving ~5.7 GB of the NVIDIA GeForce RTX 4070 Super's 12 GB, at ~74 tok/s (est.), with room for up to 64K context.
Which quantization of Qwen 2.5 VL should I use on the NVIDIA GeForce RTX 4070 Super?
Qwen 2.5 VL 7B Instruct at Q4_K_M quantization needs 6.3 GB at 8K context (5 GB weights + 1.3 GB KV cache/overhead), estimated ~74 tokens/sec, up to 64K context.
Every Qwen 2.5 VL size on the NVIDIA GeForce RTX 4070 Super
| Size | VRAM at 8K | Verdict | Speed |
|---|---|---|---|
| Qwen 2.5 VL 72B Instruct | 47.8 GB | Does not fit | — |
| Qwen 2.5 VL 7B Instruct | 6.3 GB | Runs | ~74 tok/s |
Qwen 2.5 VL on Other GPUs
- Qwen 2.5 VL on NVIDIA GeForce RTX 5070
- Qwen 2.5 VL on NVIDIA GeForce RTX 4070 Ti
- Qwen 2.5 VL on NVIDIA GeForce RTX 4070
- Qwen 2.5 VL on NVIDIA GeForce RTX 3060 (12GB)
- Qwen 2.5 VL on Intel Arc B580
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