LLMs · Mistral AI
Devstral Small 2505
- Parameters
- 24B
- Architecture
- Dense
- Max context
- 128K tokens
- License
- apache-2.0
- Released
- 2025-05
How to run it
Quickest · Ollama
One command downloads a ready-to-run version and starts a chat.
ollama run devstral:24bQuantized files · GGUF
Works in LM Studio, llama.cpp, Jan and Ollama. No sign-in needed.
huggingface.co/unsloth/Devstral-Small-2505-GGUF (opens in a new tab)
ollama run hf.co/unsloth/Devstral-Small-2505-GGUFOriginal weights · Hugging Face
Full-precision files from Mistral AI, for fine-tuning, vLLM, Transformers.
huggingface.co/mistralai/Devstral-Small-2505 (opens in a new tab)
Memory needed
Weights plus KV cache and runtime overhead. Leave a little extra free for the operating system and other apps.
| Quantization | Quality | Weights | Total at 8K context | Total at 32K context | Download |
|---|---|---|---|---|---|
Q2_K |
Low | 9.4 GB | 11.4 GB | 15.4 GB | GGUF (opens in a new tab) |
Q3_K_M |
Low | 11.5 GB | 13.5 GB | 17.5 GB | GGUF (opens in a new tab) |
Q4_K_M |
Good | 14.4 GB | 16.3 GB | 20.3 GB | GGUF (opens in a new tab) |
Q5_K_M |
High | 16.7 GB | 18.7 GB | 22.7 GB | GGUF (opens in a new tab) |
Q6_K |
High | 19.3 GB | 21.3 GB | 25.3 GB | GGUF (opens in a new tab) |
Q8_0 |
Very high | 25.0 GB | 26.9 GB | 31.0 GB | GGUF (opens in a new tab) |
F16 |
Full | 47.1 GB | 49.1 GB | 53.1 GB | GGUF (opens in a new tab) Original weights (opens in a new tab) |
Best hardware for Devstral Small 2505
The least expensive GPU in our catalog that runs it without offloading is the Intel Arc B580 (launch price $249) at Q2_K.
| Grade · points | Hardware | Quant | Memory | Speed | Fit |
|---|---|---|---|---|---|
| 84 ptsGreat (A) · 84 of 100 points: Model quality 29.4/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 | NVIDIA GeForce RTX 5090 | Q6_K | 22.9 GB / 32.0 GB | 64.8 tok/s | Runs well |
| 83 ptsGreat (A) · 83 of 100 points: Model quality 28.8/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 | NVIDIA GeForce RTX 3090 | Q5_K_M | 19.9 GB / 24.0 GB | 40.3 tok/s | Runs well |
| 83 ptsGreat (A) · 83 of 100 points: Model quality 28.8/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 | NVIDIA GeForce RTX 4090 | Q5_K_M | 19.9 GB / 24.0 GB | 43.4 tok/s | Runs well |
| 83 ptsGreat (A) · 83 of 100 points: Model quality 28.2/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 | AMD Radeon RX 7900 XTX | Q4_K_M | 17.5 GB / 24.0 GB | 43.1 tok/s | Runs well |
| 78 ptsGreat (A) · 78 of 100 points: Model quality 24.9/45, Memory fit 24.0/25, Speed 15.0/15, Memory use 15.0/15 | NVIDIA GeForce RTX 4070 Ti SUPER | Q3_K_M | 14.3 GB / 16.0 GB | 45.2 tok/s | Tight fit |
| 78 ptsGreat (A) · 78 of 100 points: Model quality 24.9/45, Memory fit 24.0/25, Speed 15.0/15, Memory use 15.0/15 | NVIDIA GeForce RTX 4080 SUPER | Q3_K_M | 14.3 GB / 16.0 GB | 49.6 tok/s | Tight fit |
| 78 ptsGreat (A) · 78 of 100 points: Model quality 24.9/45, Memory fit 24.0/25, Speed 15.0/15, Memory use 15.0/15 | NVIDIA GeForce RTX 5070 Ti | Q3_K_M | 14.3 GB / 16.0 GB | 60.3 tok/s | Tight fit |
| 78 ptsGreat (A) · 78 of 100 points: Model quality 24.9/45, Memory fit 24.0/25, Speed 15.0/15, Memory use 15.0/15 | NVIDIA GeForce RTX 5080 | Q3_K_M | 14.3 GB / 16.0 GB | 64.6 tok/s | Tight fit |
| 78 ptsGreat (A) · 78 of 100 points: Model quality 24.9/45, Memory fit 24.0/25, Speed 14.4/15, Memory use 15.0/15 | AMD Radeon RX 9070 XT | Q3_K_M | 14.3 GB / 16.0 GB | 37.1 tok/s | Tight fit |
| 77 ptsGreat (A) · 77 of 100 points: Model quality 29.7/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 7.6/15 | NVIDIA RTX PRO 6000 Blackwell | Q8_0 | 31.7 GB / 96.0 GB | 47.5 tok/s | Runs well |
Estimates come from published hardware specs and our open formulas, not from running the model on your machine. Real speed varies with runtime, drivers and settings. Numbers marked “Measured” come from a linked benchmark.