Mistral 7B Instruct v0.2 vs Mistral 7B Instruct v0.3

Side-by-side comparison of VRAM requirements, quantization, context length, and hardware compatibility.

Mistral 7B Instruct v0.2

Mistral AI · 7.2B

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Mistral 7B Instruct v0.3

Mistral AI · 7.2B

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Specifications

Mistral 7B Instruct v0.2Mistral 7B Instruct v0.3
Parameters7.2B7.2B
Context33K33K
ArchitectureMistralForCausalLMMistralForCausalLM
LicenseApache 2.0Apache 2.0
Downloads2.2M3.7M
ReleasedJul 2025

VRAM by Quantization: Mistral 7B Instruct v0.2 vs Mistral 7B Instruct v0.3

QuantizationBitsMistral 7B Instruct v0.2 VRAMMistral 7B Instruct v0.3 VRAM
Q2_K3.403.6 GB3.6 GB
Q3_K_M3.904.1 GB4.1 GB
Q3_K_S3.503.7 GB3.7 GB
Q4_04.004.2 GB
Q4_K_M4.804.9 GB4.9 GB
Q5_K_M5.705.7 GB5.7 GB
Q6_K6.606.5 GB6.5 GB
Q8_08.007.8 GB7.8 GB

Verdict

Mistral 7B Instruct v0.2 needs less VRAM at Q4_K_M (4.9 GB vs 4.9 GB), so it fits on smaller GPUs. Mistral 7B Instruct v0.3 is the more widely downloaded of the two.

Frequently Asked Questions

Which needs less VRAM, Mistral 7B Instruct v0.2 or Mistral 7B Instruct v0.3?

At Q4_K_M, Mistral 7B Instruct v0.2 needs 4.9 GB and Mistral 7B Instruct v0.3 needs 4.9 GB, so Mistral 7B Instruct v0.2 is the lighter option to run locally.

Which has a longer context window, Mistral 7B Instruct v0.2 or Mistral 7B Instruct v0.3?

Mistral 7B Instruct v0.2 supports 32,768 tokens and Mistral 7B Instruct v0.3 supports 32,768 tokens.

What is the difference between Mistral 7B Instruct v0.2 and Mistral 7B Instruct v0.3?

Mistral 7B Instruct v0.2 is a 7.2B model from Mistral AI (Mistral family), while Mistral 7B Instruct v0.3 is a 7.2B model from Mistral AI (Mistral family). Compare their VRAM requirements above to see which fits your GPU or Mac.