Mistral Small 24B Instruct 2501 vs Mistral Small 24B Instruct 2501 Quantized.w8a8
Side-by-side comparison of VRAM requirements, quantization, context length, and hardware compatibility.
Specifications
| Mistral Small 24B Instruct 2501 | Mistral Small 24B Instruct 2501 Quantized.w8a8 | |
|---|---|---|
| Parameters | 23.6B | 23.6B |
| Context | 33K | 33K |
| Architecture | MistralForCausalLM | MistralForCausalLM |
| License | Apache 2.0 | Apache 2.0 |
| Downloads | 60.1K | 15.7K |
| Released | — | Oct 2025 |
VRAM by Quantization: Mistral Small 24B Instruct 2501 vs Mistral Small 24B Instruct 2501 Quantized.w8a8
| Quantization | Bits | Mistral Small 24B Instruct 2501 VRAM | Mistral Small 24B Instruct 2501 Quantized.w8a8 VRAM |
|---|---|---|---|
| BF16 | 16.00 | 47.9 GB | 47.9 GB |
Verdict
Mistral Small 24B Instruct 2501 needs less VRAM at BF16 (47.9 GB vs 47.9 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 Small 24B Instruct 2501 or Mistral Small 24B Instruct 2501 Quantized.w8a8?
At BF16, Mistral Small 24B Instruct 2501 needs 47.9 GB and Mistral Small 24B Instruct 2501 Quantized.w8a8 needs 47.9 GB, so Mistral Small 24B Instruct 2501 is the lighter option to run locally.
- Which has a longer context window, Mistral Small 24B Instruct 2501 or Mistral Small 24B Instruct 2501 Quantized.w8a8?
Mistral Small 24B Instruct 2501 supports 32,768 tokens and Mistral Small 24B Instruct 2501 Quantized.w8a8 supports 32,768 tokens.
- What is the difference between Mistral Small 24B Instruct 2501 and Mistral Small 24B Instruct 2501 Quantized.w8a8?
Mistral Small 24B Instruct 2501 is a 23.6B model from Mistral AI (Mistral family), while Mistral Small 24B Instruct 2501 Quantized.w8a8 is a 23.6B model from RedHatAI (Mistral family). Compare their VRAM requirements above to see which fits your GPU or Mac.