Home / Models / StarCoder2 15B / NVIDIA Quadro P4000 8 GB

Calculated memory fit · not a benchmark

Can StarCoder2 15B run on NVIDIA Quadro P4000 8 GB?

Can it run? Yes, with CPU/RAM offload. Full GPU fit? No.

Can it run?

Can it run?
Yes, with CPU/RAM offload. This is not equivalent to full-GPU inference.
Full GPU fit?
No
Model
StarCoder2 15B · 16B
GPU
NVIDIA Quadro P4000 8 GB · 8 GB advertised

Memory calculation

Breakdown for Q4 at 8K context, batch size 1. Calculator v1.0.0.

Model weights9.4 GB
KV cache0.6 GB
Runtime reserve1.0 GB
Safety margin0.5 GB
Required (estimated)11.5 GB
GPU usable VRAM7.2 GB

Result: CPU RAM OFFLOAD REQUIRED

Quantization table

Quantization2K4K8K16K
BF16NoNoNoNo
FP16NoNoNoNo
Q3OffloadOffloadOffloadOffload
Q4OffloadOffloadOffloadOffload
Q5OffloadOffloadOffloadOffload
Q6OffloadOffloadOffloadOffload
Q8OffloadOffloadOffloadOffload

What fits entirely in VRAM?

No calculated full-VRAM fit at the evaluated quantizations and context lengths.

What requires RAM offload?

Weights may run with CPU/RAM offload. That is not equivalent to full-GPU inference. RigForAI does not estimate tokens/sec in this release.

Available graphics cards

These SKUs use this GPU chip. Amazon CTAs appear only for EXACT/HIGH matches. Absence of a price does not change the compatibility result above.

Check price on Amazon

Sources

Model: official config bigcode/starcoder2-15b (main). GPU/product specs: Icecat. Compatibility: RigForAI calculator v1.0.0 estimated VRAM · Q8 at 8K: CPU_RAM_OFFLOAD_REQUIRED. Amazon: affiliate commerce match, not a spec source.