Can Tesla P4 8GB run Qwen2.5-7B-Instruct?

NVIDIA · 8 GB GDDR5 · 192 GB/s bandwidth · Alibaba · 7.6B · model ctx up to 128K

Fit & speed by quant and context

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

Other GPUs that run Qwen2.5-7B-Instruct

• B200 192GB SXM — ≈669.9 tok/s Q4 est.
• MI300X 192GB — ≈443.8 tok/s Q4 est.
• H200 141GB SXM5 — ≈401.9 tok/s Q4 est.
• H100 80GB SXM5 — ≈280.5 tok/s Q4 est.
• Gaudi 3 128GB — ≈274.3 tok/s Q4 est.
• A100 80GB SXM4 — ≈154.05 tok/s Q4 measured
• RTX 5090 32GB — ≈150.0 tok/s Q4 est.
• RTX 4090 24GB — ≈84.4 tok/s Q4 est.

All GPUs for Qwen2.5-7B-Instruct →

Other models for the Tesla P4 8GB

• MiniCPM5-1B — ≈113.1 tok/s Q4 est.
• Qwen3.5-2B — ≈61.1 tok/s Q4 est.
• DeepSeek-R1-0528-Qwen3-8B-layer-mix-bpw-3.8-mlx — ≈53.1 tok/s Q4 est.
• Llama-3.2-3B-Instruct — ≈38.2 tok/s Q4 est.
• Qwen3-4B-Instruct-2507 — ≈30.5 tok/s Q4 est.
• NVIDIA-Nemotron-3-Nano-4B-BF16 — ≈30.5 tok/s Q4 est.
• Qwen3-4B-Thinking-2507 — ≈30.5 tok/s Q4 est.
• gemma-4-E2B-it — ≈24.0 tok/s Q4 est.

All models on the Tesla P4 8GB →