Question 1

How much VRAM does OpenMath-CodeLlama-13b-Python-hf need?

Accepted Answer

OpenMath-CodeLlama-13b-Python-hf (13B) requires approximately 29.092723846435547 GB of VRAM at full precision (FP16), 14.5 GB at 8-bit quantization (Q8), and 7.3 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 OpenMath-CodeLlama-13b-Python-hf?

Accepted Answer

We have 10 compatible GPUs indexed for OpenMath-CodeLlama-13b-Python-hf, including RTX 5090, A40, L40S, RTX A6000, A100 80GB PCIe 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 OpenMath-CodeLlama-13b-Python-hf?

Accepted Answer

The cheapest GPU to run OpenMath-CodeLlama-13b-Python-hf in the cloud is the RTX 5090 at $0.44/hr. Other affordable options include A40 ($0.44/hr) and L40S ($0.86/hr). Prices reflect the lowest on-demand rate across cloud providers.

Question 4

Can OpenMath-CodeLlama-13b-Python-hf run on consumer hardware?

Accepted Answer

Yes, OpenMath-CodeLlama-13b-Python-hf can run on consumer GPUs like the RTX 5090 (32 GB VRAM) at full precision (FP16). Other compatible consumer GPUs include RTX A6000 and RTX Pro 6000 Blackwell.

Question 5

What quantization options are available for OpenMath-CodeLlama-13b-Python-hf?

Accepted Answer

OpenMath-CodeLlama-13b-Python-hf supports the following quantization levels: FP16 (full precision): ~29.092723846435547 GB, Q8 (8-bit): ~14.5 GB, Q6 (6-bit): ~10.9 GB, Q4 (4-bit): ~7.3 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
RTX 5090	32 GB	Q8	$0.44/hr	Rent
A40	48 GB	FP16	$0.44/hr	Rent
L40S	48 GB	FP16	$0.86/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
A100 40GB	40 GB	FP16	$1.61/hr
MI300X	192 GB	FP16	$1.99/hr	Rent
RTX Pro 6000 Blackwell	96 GB	FP16	$2.09/hr	Rent
GH200	96 GB	FP16	$2.29/hr

OpenMath-CodeLlama-13b-Python-hf

VRAM Requirements

Compatible GPUs

OpenMath-CodeLlama-13b-Python-hf FAQ

VRAM requirements for OpenMath-CodeLlama-13b-Python-hf at different quantization levels
Quantization	VRAM Required
FP16	29.1 GB
Q8	14.5 GB
Q6	10.9 GB
Q4	7.3 GB