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// Mistral / Magistral / Devstral · Text LLM

Mistral-Small-3.2-24B-Instruct-2506: VRAM & local deployment

24B parameters. About 17.9 GB at 4-bit and 54.7 GB at BF16 with one 8K-token request.

released 2025-06-19licence: Commercial OKmemory figures are estimates

01Specs

PublisherMistral AI · mistralai
Family / seriesMistral / Magistral / Devstral · Mistral-Small-3.2
TypeText LLM
Parameters24B Source: counted from official safetensors weights
Context length128K tokens (131,072)max_position_embeddings in config.json
Architecture40 layers · GQA
Released weightsBF16 · 96.0 GBdownload
LicenceApache-2.0 · Commercial OKPermissive licence (Apache-2.0 / MIT / CC-BY / OpenMDW): commercial use allowed.
Released2025-06-19 (Hugging Face repo created)

02How much VRAM it needs (estimate)

Total = weights + 10% + 0.5GB overhead + KV cache for one request (FP16 KV). More concurrent users multiply the KV column.

PrecisionWeightsTotal @ 8KTotal @ 32KTotal @ 128KSmallest GPUMac
BF16 / FP16 (original)48.0 GB 54.7 GB58.7 GB74.8 GB 2 × RTX 5090 (64GB)Mac 128GB
FP8 / INT8 / Q8_025.5 GB 29.9 GB33.9 GB50.0 GB 2 × RTX 5090 (64GB)Mac 64GB
4-bit (Q4_K_M / AWQ / GPTQ-Int4)14.6 GB 17.9 GB21.9 GB38.0 GB RTX 4090 24GBMac 36GB

KV cache per request: 8K 1.3 GB · 32K 5.4 GB · 128K 21.5 GB

Bits per weight: BF16 16, FP8 8.5, 4-bit 4.85. “Fits” = total ≤ 90% of memory; Mac GPU can use ~2/3 of unified memory (≤36GB) or ~3/4 (larger). For MoE, all experts must be in memory, so size by total parameters. Method →

03How to run it

Only runtimes the publisher or the runtime’s official library names for this model.

Which inference engine to choose →

04Official repositories & quantised builds

1 official repo(s) from mistralai.

05Other Mistral / Magistral / Devstral models

All 35 →
ModelParams4-bit totalReleased
LIDstral-Arabic——2026-10-08
Voxtral-Mini-4B-Realtime-Arabic4.43B3.5 GB2026-10-08
Shieldstral-1.0-3B3.85B3.9 GB2026-07-16
Mistral-Medium-3.5-128B127.7B88.6 GB2026-03-31
Mistral-Small-4-119B-2603119B / 6.5B80.0 GB2026-01-23
Voxtral-Mini-4B-Realtime-26024.43B3.5 GB2026-01-21
Devstral-2-123B-Instruct-2512125B86.8 GB2025-11-28
Mistral-Large-3-675B-Instruct-2512675B / 41B451 GB2025-11-28

06Sources

Data checked 2025-12-22. Parameters, context and licence are copied from the official repository; memory figures are our estimates.

Data updated: Self-host open models(UTC+8)