Question 1

How much VRAM does instructblip-vicuna-13b need?

Accepted Answer

instructblip-vicuna-13b (14.2B) requires approximately 31.721801948547363 GB of VRAM at full precision (FP16), 15.9 GB at 8-bit quantization (Q8), and 7.9 GB at 4-bit quantization (Q4). The actual VRAM usage may be slightly higher due to KV cache and runtime overhead.

Question 2

What GPUs can run instructblip-vicuna-13b?

Accepted Answer

We have 10 compatible GPUs indexed for instructblip-vicuna-13b, including A40, L40S, L40, A100 40GB, RTX A6000 and 5 more. Compatibility is determined by whether the GPU's VRAM can fit the model's memory footprint, potentially using quantization to reduce memory usage.

Question 3

What is the cheapest GPU to run instructblip-vicuna-13b?

Accepted Answer

The cheapest GPU to run instructblip-vicuna-13b in the cloud is the A40 at $0.44/hr. Other affordable options include L40S ($0.60/hr) and L40 ($0.82/hr). Prices reflect the lowest on-demand rate across cloud providers.

Question 4

Can instructblip-vicuna-13b run on consumer hardware?

Accepted Answer

Yes, instructblip-vicuna-13b can run on consumer GPUs like the RTX A6000 (48 GB VRAM) at full precision (FP16).

Question 5

What quantization options are available for instructblip-vicuna-13b?

Accepted Answer

instructblip-vicuna-13b supports the following quantization levels: FP16 (full precision): ~31.721801948547363 GB, Q8 (8-bit): ~15.9 GB, Q6 (6-bit): ~11.9 GB, Q4 (4-bit): ~7.9 GB. Lower quantization reduces VRAM usage at the cost of some quality loss. Q8 offers a good balance between quality and memory savings, while Q4 provides maximum compression.

GPU	VRAM	Best Quant	From	Rent
A40	48 GB	FP16	$0.44/hr	Rent
L40S	48 GB	FP16	$0.60/hr	Rent
L40	48 GB	FP16	$0.82/hr	Rent
A100 40GB	40 GB	FP16	$0.93/hr	Rent
RTX A6000	48 GB	FP16	$1.09/hr
A100 80GB PCIe	80 GB	FP16	$1.39/hr	Rent
A100 80GB	80 GB	FP16	$1.39/hr	Rent
H100 MEGA	80 GB	FP16	$1.80/hr	Rent
H100 SXM	80 GB	FP16	$1.80/hr	Rent
H100 NVL	94 GB	FP16	$1.80/hr	Rent

instructblip-vicuna-13b

VRAM Requirements

Compatible GPUs

instructblip-vicuna-13b FAQ

VRAM requirements for instructblip-vicuna-13b at different quantization levels
Quantization	VRAM Required
FP16	31.7 GB
Q8	15.9 GB
Q6	11.9 GB
Q4	7.9 GB