Question 1

How much VRAM does Flex-reddit-2x7B-1T need?

Accepted Answer

Flex-reddit-2x7B-1T (11.6B) requires approximately 25.989266967773435 GB of VRAM at full precision (FP16), 13 GB at 8-bit quantization (Q8), and 6.5 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 Flex-reddit-2x7B-1T?

Accepted Answer

We have 10 compatible GPUs indexed for Flex-reddit-2x7B-1T, including RTX 5090, A40, L40S, A100 40GB, L40 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 Flex-reddit-2x7B-1T?

Accepted Answer

The cheapest GPU to run Flex-reddit-2x7B-1T in the cloud is the RTX 5090 at $0.44/hr. Other affordable options include A40 ($0.44/hr) and L40S ($0.60/hr). Prices reflect the lowest on-demand rate across cloud providers.

Question 4

Can Flex-reddit-2x7B-1T run on consumer hardware?

Accepted Answer

Yes, Flex-reddit-2x7B-1T can run on consumer GPUs like the RTX 5090 (32 GB VRAM) at full precision (FP16).

Question 5

What quantization options are available for Flex-reddit-2x7B-1T?

Accepted Answer

Flex-reddit-2x7B-1T supports the following quantization levels: FP16 (full precision): ~25.989266967773435 GB, Q8 (8-bit): ~13 GB, Q6 (6-bit): ~9.7 GB, Q4 (4-bit): ~6.5 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. As a Mixture of Experts (MoE) model with 2 experts (2 active), Flex-reddit-2x7B-1T has a larger total weight size but only activates a subset of parameters per token, which can affect effective memory usage during inference.

GPU	VRAM	Best Quant	From	Rent
RTX 5090	32 GB	FP16	$0.44/hr	Rent
A40	48 GB	FP16	$0.44/hr	Rent
L40S	48 GB	FP16	$0.60/hr	Rent
A100 40GB	40 GB	FP16	$0.93/hr	Rent
L40	48 GB	FP16	$0.99/hr	Rent
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

Flex-reddit-2x7B-1T

VRAM Requirements

Compatible GPUs

Flex-reddit-2x7B-1T FAQ

VRAM requirements for Flex-reddit-2x7B-1T at different quantization levels
Quantization	VRAM Required
FP16	26 GB
Q8	13 GB
Q6	9.7 GB
Q4	6.5 GB