on

Can the AMD Ryzen 9000 series (desktop) NAS (192 GB) run Codestral Mamba 7B?

34Basic quality (D) · 34 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 51/100 (quality, fit, speed and memory use) sets the ranking.

Yes, it runs well

Runs well. At Q4_K_M it needs about 18.9 GB of 173 GB usable, with an estimated speed of 13.0 tok/s.

Best quant
Q4_K_M
Generation speed
13.0 tok/s
Prompt processing
68.0 tok/s
First token (1K prompt)
15.1 s
Largest safe context
256K

Download Codestral Mamba 7B

Original weights · Hugging Face

Full-precision files from Mistral AI, for fine-tuning, vLLM, Transformers.

huggingface.co/mistralai/Mamba-Codestral-7B-v0.1 (opens in a new tab)

No sign-in needed.

Links checked 2 days ago against Hugging Face, Ollama and GitHub.

How it’s rated

Quality 34Basic quality (D) · 34 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 51/100 (quality, fit, speed and memory use) sets the ranking.
How capable the model itself is at Q4_K_M, from its editorial quality tier scaled by the quantization or precision. It’s the same on any hardware that runs this variant. Scale: A+ 85+ · A 70+ · B 55+ · C 40+ · D under 40.
Runs Runs well
How well it runs on the AMD Ryzen 9000 series (desktop) NAS (192 GB): speed, capped by how well it fits in memory. Runs great: 30+ tokens/s (or near the image, video or decision speed target) · Runs well: 10+ tokens/s · Slow: 3+ tokens/s · Very slow: under 3 · Won’t run: doesn’t fit even with offload. A tight fit or RAM offload caps it at Runs well; heavy offload caps it at Slow.

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 qualityEditorial quality tier of the model, scaled by the quantization or precision used.15.4 / 45
Memory fitFull marks when the model fits in the share of the NAS’s memory that models can use (the rest stays with the NAS system and its storage services); fewer when it goes past that limit.25.0 / 25
SpeedGeneration speed against a 40 tokens/s target for LLMs, or render time against a target for image and video.8.5 / 15
Memory useRewards using the memory you have, so a bigger, better variant beats a tiny one that leaves most memory idle.2.5 / 15
Match score51.5 / 100

The match score orders results; it is not shown as a grade. Quality and Runs are the two ratings in the tables.

Every quantization on the AMD Ryzen 9000 series (desktop) NAS (192 GB)

Quant Memory needed Available Speed Runs Quality Download
Q2_K 17.4 GB 173 GB 21.3 tok/s Runs well 25Basic quality (D) · 25 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 49/100 (quality, fit, speed and memory use) sets the ranking. All files (opens in a new tab)
Q3_K_M 18.0 GB 173 GB 16.8 tok/s Runs well 30Basic quality (D) · 30 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 50/100 (quality, fit, speed and memory use) sets the ranking. All files (opens in a new tab)
Q4_K_M 18.9 GB 173 GB 13.0 tok/s Runs well 34Basic quality (D) · 34 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 51/100 (quality, fit, speed and memory use) sets the ranking. All files (opens in a new tab)
Q5_K_M 19.6 GB 173 GB 10.7 tok/s Runs well 34Basic quality (D) · 34 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 51/100 (quality, fit, speed and memory use) sets the ranking. All files (opens in a new tab)
Q6_K 20.4 GB 173 GB 9.0 tok/s Slow 35Basic quality (D) · 35 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 50/100 (quality, fit, speed and memory use) sets the ranking. All files (opens in a new tab)
Q8_0 22.2 GB 173 GB 6.6 tok/s Slow 36Basic quality (D) · 36 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 50/100 (quality, fit, speed and memory use) sets the ranking. All files (opens in a new tab)
F16 29.0 GB 173 GB 3.0 tok/s Slow 36Basic quality (D) · 36 of 100: how capable the model is at F16, whatever it runs on. Match score 49/100 (quality, fit, speed and memory use) sets the ranking. Original weights (opens in a new tab)

Memory figures assume 8K of context. Longer conversations or documents grow the KV cache.

Other hardware that runs it

Quick answers

How much memory does Codestral Mamba 7B need on the AMD Ryzen 9000 series (desktop) NAS 192GB?

At Q4_K_M it needs about 18.9 GB. The AMD Ryzen 9000 series (desktop) NAS 192GB has 173 GB usable.

How fast is Codestral Mamba 7B on the AMD Ryzen 9000 series (desktop) NAS 192GB?

About 13.0 tok/s at Q4_K_M, an estimate from the hardware’s memory bandwidth and the size of the model.

Which quantization of Codestral Mamba 7B should I use on the AMD Ryzen 9000 series (desktop) NAS 192GB?

Q4_K_M. Of the versions that fit, it is the one that runs best; when two run equally well, the check prefers the higher-rated one.

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.

Was this page helpful?