Mistral 7B VRAM and GPU Requirements

Mistral 7B needs about 5.80 GB at Q4_K_M with 8K context.

Which GPUs fit

VRAM by quantization

Totals at 8,192 tokens. Q4_K_M is the usual balance of size and quality. FP16 weights are the parameter count times 2 bytes. The FP16 column in the table is the full estimate: weights, cache, and 1 GB.

Context length

Q4_K_M total as the context changes. Cache is the part that grows.

• 2,048 5.05 GB
• 8,192 5.80 GB
• 32,768 8.80 GB

Mistral 7B hardware notes

• Unified memory counts 75 percent of the listed pool as usable. Discrete cards use the full listed memory. The memory column still shows the listed figure.
• Last updated 2025-12-03.
• Weights, cache, and the 1 GB overhead are estimates. How this is calculated.
• Architecture numbers and the parameter count come from the public model record, checked 2026-10-10.

Mistral 7B VRAM FAQ

How much VRAM does Mistral 7B need at Q4_K_M?

5.80 GB at 8,192 tokens. Weights are 3.80 GB, the cache is 1.00 GB, and overhead is 1 GB.

Does a 24 GB GPU fit Mistral 7B at Q4_K_M?

GeForce RTX 3090 24GB is Fits, 18.20 GB left. The quant table uses 8,192 tokens, the smaller of 8,192 and the configured maximum of 32,768.

What context length is configured for Mistral 7B?

The configured context length is 32,768 tokens. The quant table uses 8,192 tokens, the smaller of 8,192 and the configured maximum of 32,768.

Which source supplies the parameter count for Mistral 7B?

7.25B parameters, from the Hugging Face model record for mistralai/Mistral-7B-Instruct-v0.3.

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