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Can I run Mistral 7B (INT8 (8-bit Integer)) on NVIDIA RTX 3090 Ti?

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Perfect

Yes, you can run this model!

GPU VRAM

24.0GB

Required

7.0GB

Headroom

+17.0GB

VRAM Usage

0GB 29% used 24.0GB

Performance Estimate

Tokens/sec ~90.0

Batch size 12

Context 32768K

info Technical Analysis

NVIDIA RTX 3090 Ti provides excellent compatibility with Mistral 7B (7.00B). With 24.0GB of VRAM and only 7.0GB required, you have 17.0GB of headroom for comfortable inference. This allows for extended context lengths, batch processing, and smooth operation.

lightbulb Recommendation

You can run Mistral 7B (7.00B) on NVIDIA RTX 3090 Ti without any compromises. Consider using full context length and larger batch sizes for optimal throughput.

tune Recommended Settings

Batch_Size

Context_Length

32768

Inference_Framework

llama.cpp or vLLM

help Frequently Asked Questions

Can I run Mistral 7B (7.00B) on NVIDIA RTX 3090 Ti? expand_more

NVIDIA RTX 3090 Ti has 24.0GB VRAM, which provides 17.0GB of headroom beyond the 7.0GB required by Mistral 7B (7.00B). This is plenty of room for comfortable inference with room for KV cache, batching, and extended context lengths.

How much VRAM does Mistral 7B (7.00B) need? expand_more

Mistral 7B (7.00B) requires approximately 7.0GB of VRAM.

What performance can I expect? expand_more

Estimated 90 tokens per second.