Can RTX 4070 Ti Super 16GB run DeepSeek-R1-0528-Qwen3-8B-layer-mix-bpw-3.8-mlx?

NVIDIA · 16 GB GDDR6X · 672 GB/s bandwidth · GreenBitAI · 2.3B · model ctx up to NoneK

CUDA

Yes — the RTX 4070 Ti Super 16GB (16 GB GDDR6X) can run DeepSeek-R1-0528-Qwen3-8B-layer-mix-bpw-3.8-mlx. At Q4 with the default 8K context it needs ≈ 2.72 GB VRAM (weights 1.26 GB + KV cache 0.46 GB + 1 GB runtime overhead), which fits within 16 GB. Decode at Q4/8K: ≈ 185.9 tok/s (estimated, batch 1). FP16 (≈ 6.06 GB) also fits, at ≈ 51.1 tok/s (estimated). Estimates come from memory-bandwidth math; rows tagged measured override estimates. Relative ranking is more reliable than absolute tok/s. Methodology. Buy RTX 4070 Ti Super 16GB on Amazon →

Fit & speed by quant and context

Quant	Context	VRAM needed	Fits?	tok/s (decode)
Q4	4K	2.5 GB	Yes	185.9 ± est.
Q4	8K default	2.72 GB	Yes	185.9 ± est.
Q4	32K	4.1 GB	Yes	185.9 ± est.
FP16	4K	5.83 GB	Yes	51.1 ± est.
FP16	8K default	6.06 GB	Yes	51.1 ± est.
FP16	32K	7.44 GB	Yes	51.1 ± est.

Fits = weights + KV(ctx) + 1 GB overhead ≤ 95% of VRAM. Measured anchors are context-agnostic; the fit verdict is recomputed per context. A missing tok/s means the model is far beyond this card (offload-only territory).

VRAM breakdown at 8K context

Quant	Weights	KV cache	Overhead	Total needed	RTX 4070 Ti Super 16GB VRAM
Q4	1.26 GB	0.46 GB	1 GB	2.72 GB	16 GB
FP16	4.6 GB	0.46 GB	1 GB	6.06 GB	16 GB

Other GPUs that run DeepSeek-R1-0528-Qwen3-8B-layer-mix-bpw-3.8-mlx

• B200 192GB SXM — ≈2213.4 tok/s Q4 est.
• MI300X 192GB — ≈1466.4 tok/s Q4 est.
• H200 141GB SXM5 — ≈1328.1 tok/s Q4 est.
• H100 80GB SXM5 — ≈926.9 tok/s Q4 est.
• Gaudi 3 128GB — ≈906.4 tok/s Q4 est.
• A100 80GB SXM4 — ≈564.2 tok/s Q4 est.
• RTX 5090 32GB — ≈495.8 tok/s Q4 est.
• RTX 4090 24GB — ≈278.9 tok/s Q4 est.

All GPUs for DeepSeek-R1-0528-Qwen3-8B-layer-mix-bpw-3.8-mlx →

Other models for the RTX 4070 Ti Super 16GB

• MiniCPM5-1B — ≈396.0 tok/s Q4 est.
• Qwen3.5-2B — ≈213.8 tok/s Q4 est.
• Llama-3.2-3B-Instruct — ≈199.0 tok/s Q4 measured
• gpt-oss-20b — ≈118.8 tok/s Q4 est.
• gemma-4-26B-A4B-it — ≈112.5 tok/s Q4 est.
• Qwen3-4B-Instruct-2507 — ≈106.9 tok/s Q4 est.
• NVIDIA-Nemotron-3-Nano-4B-BF16 — ≈106.9 tok/s Q4 est.
• Qwen3-4B-Thinking-2507 — ≈106.9 tok/s Q4 est.

All models on the RTX 4070 Ti Super 16GB →