Can T4 16GB run Hy3?

NVIDIA · 16 GB GDDR6 · 320 GB/s bandwidth · Tencent · 295.0B (active 21.0B) · MoE · model ctx up to 256K

No — Hy3 at Q4 needs ≈ 165.35 GB even at 4K context, beyond the T4 16GB's 16 GB GDDR6. It would only run with heavy CPU/disk offload. FP16 needs ≈ 595.2 GB — does not fit on this card. Estimates come from memory-bandwidth math; rows tagged measured override estimates. Relative ranking is more reliable than absolute tok/s. Methodology.

Fit & speed by quant and context

Quant	Context	VRAM needed	Fits?	tok/s (decode)
Q4	4K	165.35 GB	No	—
Q4	8K default	167.45 GB	No	—
Q4	32K	180.05 GB	No	—
FP16	4K	593.1 GB	No	—
FP16	8K default	595.2 GB	No	—
FP16	32K	607.8 GB	No	—

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	T4 16GB VRAM
Q4	162.25 GB	4.2 GB	1 GB	167.45 GB	16 GB
FP16	590.0 GB	4.2 GB	1 GB	595.2 GB	16 GB

Other GPUs that run Hy3

• B200 192GB SXM — ≈242.4 tok/s Q4 est.
• MI300X 192GB — ≈160.6 tok/s Q4 est.
• Mac Studio M2 Ultra 192GB — ≈24.2 tok/s Q4 est.

All GPUs for Hy3 →

Other models for the T4 16GB

• MiniCPM5-1B — ≈188.6 tok/s Q4 est.
• Qwen3.5-2B — ≈101.8 tok/s Q4 est.
• Llama-3.2-3B-Instruct — ≈63.6 tok/s Q4 est.
• gpt-oss-20b — ≈56.6 tok/s Q4 est.
• Qwen3-4B-Instruct-2507 — ≈50.9 tok/s Q4 est.
• Qwen3-4B-Thinking-2507 — ≈50.9 tok/s Q4 est.
• NVIDIA-Nemotron-3-Nano-4B-BF16 — ≈50.9 tok/s Q4 est.
• gemma-4-E2B-it — ≈39.9 tok/s Q4 est.

All models on the T4 16GB →