Can an NVIDIA GeForce RTX 3070 Ti run Qwen3-8B?
Yes. Qwen3-8B needs 6.72GB at Q4_K_M with llama.cpp and 8K context; the NVIDIA GeForce RTX 3070 Ti has 8GB of VRAM (7.50GB usable) — grade B, with decode speed in the interactive tier.
NVIDIA GeForce RTX 3070 Ti · Qwen3-8B · Q4_K_M
✅ Fits — grade B
Interactive
weights 5.03 GBKV cache 1.21 GBoverhead 0.48 GBpool 7.50 GBneeds 6.72 GB
assumes llama.cpp · batch 1 · 8K context · fp16 KV cache
$599 MSRP · as of 2026-07-08
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Every quant, graded
NVIDIA GeForce RTX 3070 Ti × Qwen3-8B, llama.cpp, 8K context.
| Quant | File size | Fit | Speed tier |
|---|---|---|---|
| Q8_0 | 8.7 GB | Tight · C | interactive · offload · beta |
| Q6_K | 6.7 GB | Tight · C | interactive · offload · beta |
| Q5_K_M | 5.8 GB | Tight · C | interactive · offload · beta |
| Q4_K_M | 5.0 GB | Fits · B | interactive |
Qwen3-8B on similar hardware
More models on the NVIDIA GeForce RTX 3070 Ti
Verdict computed from published specs and measured GGUF file sizes — see how the math works.