// Mistral / Magistral / Devstral · Text LLM
Mistral-Small-4-119B-2603: VRAM & local deployment
119B total · 6.5B active (MoE) parameters. About 80.0 GB at 4-bit and 263 GB at BF16 with one 8K-token request.
released 2026-01-23licence: Commercial OKmemory figures are estimates
01Specs
| Publisher | Mistral AI · mistralai |
|---|---|
| Family / series | Mistral / Magistral / Devstral · Mistral-Small-4 |
| Type | Text LLM |
| Parameters | 119B total · 6.5B active (MoE) Source: official model card“119B parameters, with 6.5B activated per token” |
| Context length | 1M tokens (1,048,576)max_position_embeddings in config.json |
| Architecture | 36 layers · MLA · MoE |
| Released weights | FP8 (E4M3) · 242 GBdownload |
| Licence | Apache-2.0 · Commercial OKPermissive licence (Apache-2.0 / MIT / CC-BY / OpenMDW): commercial use allowed. |
| Released | 2026-01-23 (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.
| Precision | Weights | Total @ 8K | Total @ 32K | Total @ 128K | Smallest GPU | Mac |
|---|---|---|---|---|---|---|
| BF16 / FP16 (original) | 238 GB | 262 GB | 263 GB | 265 GB | 4 × RTX PRO 6000 (384GB) | Mac 512GB |
| FP8 / INT8 / Q8_0 | 126 GB | 140 GB | 140 GB | 143 GB | 4 × RTX PRO 6000 (384GB) | Mac 256GB |
| 4-bit (Q4_K_M / AWQ / GPTQ-Int4) | 72.1 GB | 80.0 GB | 80.6 GB | 82.9 GB | RTX PRO 6000 96GB | Mac 128GB |
KV cache per request: 8K 0.2 GB · 32K 0.8 GB · 128K 3.0 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.
- vLLM — mentioned in the official model card
- SGLang — mentioned in the official model card
- llama.cpp — mentioned in the official model card
- LM Studio — mentioned in the official model card
- Transformers — mentioned in the official model card
04Official repositories & quantised builds
2 official repo(s) from mistralai.
05Other Mistral / Magistral / Devstral models
All 35 →| Model | Params | 4-bit total | Released |
|---|---|---|---|
| LIDstral-Arabic | — | — | 2026-10-08 |
| 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 |
| 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 2026-07-15. Parameters, context and licence are copied from the official repository; memory figures are our estimates.