Magistral Small 2506 on AMD Ryzen 7 5825U / 5700U NAS (8 GB)
Can the AMD Ryzen 7 5825U / 5700U NAS (8 GB) run Magistral Small 2506?
No, it doesn’t fit
No. Magistral Small 2506 needs about 11.8 GB even at Q2_K; the AMD Ryzen 7 5825U / 5700U NAS (8 GB) has 5.2 GB usable.
Download Magistral Small 2506
Recommended: Q2_K. Every other quantization has its own download link in the table below.
Quickest · Ollama
One command downloads a ready-to-run version and starts a chat.
ollama run magistral:24bQuantized files · GGUF
Works in LM Studio, llama.cpp, Jan and Ollama. No sign-in needed.
Download the Q2_K file (opens in a new tab)
huggingface.co/unsloth/Magistral-Small-2506-GGUF (opens in a new tab)
ollama run hf.co/unsloth/Magistral-Small-2506-GGUF:Q2_KOriginal weights · Hugging Face
Full-precision files from Mistral AI, for fine-tuning, vLLM, Transformers.
huggingface.co/mistralai/Magistral-Small-2506 (opens in a new tab)
How it’s rated
Match score
To order lists, each result also gets a match score out of 100 from four parts. It favors the most capable model that still runs well.
| Model quality | 6.4 / 45 | |
|---|---|---|
| Memory fit | 0.0 / 25 | |
| Speed | 0.0 / 15 | |
| Memory use | 0.0 / 15 | |
| Match score | 6.4 / 100 |
Every quantization on the AMD Ryzen 7 5825U / 5700U NAS (8 GB)
| Quant | Memory needed | Available | Speed | Runs | Quality | Download |
|---|---|---|---|---|---|---|
Q2_K | 11.8 GB | 5.2 GB | — | Won't run | 47Fair quality (C) · 47 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 6/100 (quality, fit, speed and memory use) sets the ranking. | GGUF (opens in a new tab) |
Q3_K_M | 13.9 GB | 5.2 GB | — | Won't run | 57Good quality (B) · 57 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 7/100 (quality, fit, speed and memory use) sets the ranking. | GGUF (opens in a new tab) |
Q4_K_M | 16.7 GB | 5.2 GB | — | Won't run | 64Good quality (B) · 64 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. | GGUF (opens in a new tab) |
Q5_K_M | 19.1 GB | 5.2 GB | — | Won't run | 65Good quality (B) · 65 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 8/100 (quality, fit, speed and memory use) sets the ranking. | GGUF (opens in a new tab) |
Q6_K | 21.7 GB | 5.2 GB | — | Won't run | 67Good quality (B) · 67 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking. | GGUF (opens in a new tab) |
Q8_0 | 27.3 GB | 5.2 GB | — | Won't run | 68Good quality (B) · 68 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking. | GGUF (opens in a new tab) |
F16 | 49.5 GB | 5.2 GB | — | Won't run | 68Good quality (B) · 68 of 100: how capable the model is at F16, whatever it runs on. Match score 9/100 (quality, fit, speed and memory use) sets the ranking. | GGUF (opens in a new tab) Original weights (opens in a new tab) |
Memory figures assume 8K of context. Longer conversations or documents grow the KV cache.
Hardware that can run it
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67Good quality (B) · 67 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA GeForce RTX 5090
-
65Good quality (B) · 65 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA GeForce RTX 3090
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65Good quality (B) · 65 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA GeForce RTX 4090
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64Good quality (B) · 64 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking.
AMD Radeon RX 7900 XTX
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57Good quality (B) · 57 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA GeForce RTX 4070 Ti SUPER
-
57Good quality (B) · 57 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA GeForce RTX 4080 SUPER
Models that do run on the AMD Ryzen 7 5825U / 5700U NAS (8 GB)
- 58Good quality (B) · 58 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking. Gemma 4 E2B
- 64Good quality (B) · 64 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking. Nemotron Labs Dory 1.0 4B
- 62Good quality (B) · 62 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking. Spark-X2.6 4B
- 50Fair quality (C) · 50 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking. Ling 3.0 Tiny (8B-A1.3B)
- 64Good quality (B) · 64 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking. Nanbeige4.2 3B
Quick answers
How much memory does Magistral Small 2506 need on the AMD Ryzen 7 5825U / 5700U NAS 8GB?
Even at Q2_K it needs about 11.8 GB; the AMD Ryzen 7 5825U / 5700U NAS 8GB has 5.2 GB usable.
What can the AMD Ryzen 7 5825U / 5700U NAS 8GB run instead?
Gemma 4 E2B, Nemotron Labs Dory 1.0 4B and Spark-X2.6 4B run best on it; the page lists more, each with its speed.
What hardware can run Magistral Small 2506?
RTX 5090 32GB, RTX 3090 24GB and RTX 4090 24GB run it; the page lists more, each with its speed.
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.