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Can I run Llama 3 8B on NVIDIA RTX 4090?

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Perfect

Yes, you can run this model!

GPU VRAM

24.0GB

Required

16.0GB

Headroom

+8.0GB

VRAM Usage

0GB 67% used 24.0GB

Performance Estimate

Tokens/sec ~72.0

Batch size 5

Context 8192K

info Technical Analysis

NVIDIA RTX 4090 provides excellent compatibility with Llama 3 8B (8.00B). With 24.0GB of VRAM and only 16.0GB required, you have 8.0GB of headroom for comfortable inference. This allows for extended context lengths, batch processing, and smooth operation.

lightbulb Recommendation

You can run Llama 3 8B (8.00B) on NVIDIA RTX 4090 without any compromises. Consider using full context length and larger batch sizes for optimal throughput.

tune Recommended Settings

Batch_Size

Context_Length

8192

Inference_Framework

llama.cpp or vLLM

help Frequently Asked Questions

Can I run Llama 3 8B (8.00B) on NVIDIA RTX 4090? expand_more

NVIDIA RTX 4090 has 24.0GB VRAM, which provides 8.0GB of headroom beyond the 16.0GB required by Llama 3 8B (8.00B). This is plenty of room for comfortable inference with room for KV cache, batching, and extended context lengths.

How much VRAM does Llama 3 8B (8.00B) need? expand_more

Llama 3 8B (8.00B) requires approximately 16.0GB of VRAM.

What performance can I expect? expand_more

Estimated 72 tokens per second.