Mistral 7B v0.2 vs Mistral Small 24B Instruct 2501

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

Mistral 7B v0.2

mistral-community · 7.2B

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Mistral Small 24B Instruct 2501

Mistral AI · 23.6B

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Specifications

Mistral 7B v0.2Mistral Small 24B Instruct 2501
Parameters7.2B23.6B
Context33K33K
ArchitectureMistralForCausalLMMistralForCausalLM
LicenseApache 2.0Apache 2.0
Downloads4.1K61.2K
ReleasedJul 2024

VRAM by Quantization: Mistral 7B v0.2 vs Mistral Small 24B Instruct 2501

QuantizationBitsMistral 7B v0.2 VRAMMistral Small 24B Instruct 2501 VRAM
Q2_K3.403.6 GB10.7 GB
Q3_K_M3.904.1 GB12.2 GB
Q3_K_S3.5011.0 GB
Q4_04.0012.5 GB
Q4_K_M4.804.9 GB14.9 GB
Q5_K_M5.705.7 GB17.5 GB
Q6_K6.606.5 GB20.2 GB
Q8_08.007.8 GB24.3 GB

Verdict

Mistral 7B v0.2 needs less VRAM at Q4_K_M (4.9 GB vs 14.9 GB), so it fits on smaller GPUs. Mistral Small 24B Instruct 2501 is the more widely downloaded of the two.

Frequently Asked Questions

Which needs less VRAM, Mistral 7B v0.2 or Mistral Small 24B Instruct 2501?

At Q4_K_M, Mistral 7B v0.2 needs 4.9 GB and Mistral Small 24B Instruct 2501 needs 14.9 GB, so Mistral 7B v0.2 is the lighter option to run locally.

Which has a longer context window, Mistral 7B v0.2 or Mistral Small 24B Instruct 2501?

Mistral 7B v0.2 supports 32,768 tokens and Mistral Small 24B Instruct 2501 supports 32,768 tokens.

What is the difference between Mistral 7B v0.2 and Mistral Small 24B Instruct 2501?

Mistral 7B v0.2 is a 7.2B model from mistral-community (Mistral family), while Mistral Small 24B Instruct 2501 is a 23.6B model from Mistral AI (Mistral family). Compare their VRAM requirements above to see which fits your GPU or Mac.