// Mistral / Magistral / Devstral · Text LLM
LIDstral-Arabic: VRAM & local deployment
Text LLM model published by Mistral AI.
released 2026-10-08licence: Commercial OKmemory figures are estimates
01Specs
| Publisher | Mistral AI · mistralai |
|---|---|
| Family / series | Mistral / Magistral / Devstral · LIDstral-Arabic |
| Type | Text LLM (text-classification) |
| Parameters | not stated in official metadata |
| Context length | — |
| Licence | Apache-2.0 · Commercial OKPermissive licence (Apache-2.0 / MIT / CC-BY / OpenMDW): commercial use allowed. |
| Released | 2026-10-08 (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.
No estimate: the official metadata does not give a parameter count. Check the model card for tested hardware.
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.
The official card does not name a runtime; see the repository.
04Official repositories & quantised builds
1 official repo(s) from mistralai.
- LIDstral-Arabic main
05Other Mistral / Magistral / Devstral models
All 35 →| Model | Params | 4-bit total | Released |
|---|---|---|---|
| Voxtral-Mini-4B-Realtime-Arabic | 4.43B | 3.5 GB | 2026-10-08 |
| Shieldstral-1.0-3B | 3.85B | 3.9 GB | 2026-07-16 |
| Mistral-Medium-3.5-128B | 127.7B | 88.6 GB | 2026-03-31 |
| Mistral-Small-4-119B-2603 | 119B / 6.5B | 80.0 GB | 2026-01-23 |
| Voxtral-Mini-4B-Realtime-2602 | 4.43B | 3.5 GB | 2026-01-21 |
| Devstral-2-123B-Instruct-2512 | 125B | 86.8 GB | 2025-11-28 |
| Mistral-Large-3-675B-Instruct-2512 | 675B / 41B | 451 GB | 2025-11-28 |
| Voxtral-4B-TTS-2603 | 4B | 3.2 GB | 2025-11-17 |
06Sources
Data checked 2026-10-13. Parameters, context and licence are copied from the official repository; memory figures are our estimates.