// Mistral / Magistral / Devstral · Text LLM
Mistral-Large-Instruct-2407: VRAM & local deployment
122.6B parameters. About 82.3 GB at 4-bit and 270 GB at BF16.
released 2024-07-24licence: Non-commercialmemory figures are estimates
01Specs
| Publisher | Mistral AI · mistralai |
|---|---|
| Family / series | Mistral / Magistral / Devstral · Mistral-Large |
| Type | Text LLM |
| Parameters | 122.6B Source: counted from official safetensors weights |
| Context length | — |
| Released weights | BF16 · 490 GBdownload |
| Licence | Mistral Research License · Non-commercialResearch / non-commercial licence: commercial use is not allowed without a separate agreement. |
| Released | 2024-07-24 (Hugging Face repo created) |
| Access | Gated: accept the licence on Hugging Face before downloading. |
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 | Smallest GPU | Mac |
|---|---|---|---|
| BF16 / FP16 (original) | 245 GB | 4 × RTX PRO 6000 (384GB) | Mac 512GB |
| FP8 / INT8 / Q8_0 | 130 GB | 4 × RTX PRO 6000 (384GB) | Mac 256GB |
| 4-bit (Q4_K_M / AWQ / GPTQ-Int4) | 74.3 GB | RTX PRO 6000 96GB | Mac 128GB |
KV cache not estimated: the official config.json is gated or lacks attention parameters. Totals above are weights + overhead only.
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
- Transformers — mentioned in the official model card
04Official repositories & quantised builds
1 official repo(s) from mistralai.
- Mistral-Large-Instruct-2407 Instruct
05Other Mistral / Magistral / Devstral models
All 35 →| Model | Params | 4-bit total | Released |
|---|---|---|---|
| Mistral-Large-Instruct-2411 · same series | 122.6B | 85.2 GB | 2024-11-14 |
| 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 |
| 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 |
06Sources
Data checked 2025-07-28. Parameters, context and licence are copied from the official repository; memory figures are our estimates.