StableLM Zephyr 3B on AMD Ryzen AI Max+ 395 (128 GB)
Can the AMD Ryzen AI Max+ 395 (128 GB) run StableLM Zephyr 3B?
Yes, it runs great
Runs great. At Q8_0 it needs about 12.6 GB of 96.0 GB usable, with an estimated speed of 49.2 tok/s.
- Best quant
Q8_0- Generation speed
- 49.2 tok/s
- Prompt processing
- 13,153 tok/s
- First token (1K prompt)
- 0.3 s
- Largest safe context
- 4K
Best app to run it on the AMD Ryzen AI Max+ 395 (128 GB)
On Windows
- Built for Ryzen AI and Strix Halo, including NPU + iGPU modes on Windows.
lemonade pull QuantFactory/stablelm-zephyr-3b-GGUF:Q8_0Download StableLM Zephyr 3B
Recommended for the AMD Ryzen AI Max+ 395 (128 GB): Q8_0. 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 stablelm-zephyr:3b-q8_0Quantized files · GGUF
Works in LM Studio, llama.cpp, Jan and Ollama. No sign-in needed.
Download the Q8_0 file (opens in a new tab)
huggingface.co/QuantFactory/stablelm-zephyr-3b-GGUF (opens in a new tab)
ollama run hf.co/QuantFactory/stablelm-zephyr-3b-GGUF:Q8_0Original weights · Hugging Face
Full-precision files from Stability AI, for fine-tuning, vLLM, Transformers.
huggingface.co/stabilityai/stablelm-zephyr-3b (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 | 7.2 / 45 | |
|---|---|---|
| Memory fit | 25.0 / 25 | |
| Speed | 15.0 / 15 | |
| Memory use | 3.0 / 15 | |
| Match score | 50.2 / 100 |
Every quantization on the AMD Ryzen AI Max+ 395 (128 GB)
| Quant | Memory needed | Available | Speed | Runs | Quality | Download |
|---|---|---|---|---|---|---|
Q2_K | 10.7 GB | 96.0 GB | 159 tok/s | Runs great | 11Basic quality (D) · 11 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 47/100 (quality, fit, speed and memory use) sets the ranking. | GGUF (opens in a new tab) |
Q3_K_M | 11.0 GB | 96.0 GB | 125 tok/s | Runs great | 13Basic quality (D) · 13 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 48/100 (quality, fit, speed and memory use) sets the ranking. | GGUF (opens in a new tab) |
Q4_K_M | 11.3 GB | 96.0 GB | 96.6 tok/s | Runs great | 15Basic quality (D) · 15 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 49/100 (quality, fit, speed and memory use) sets the ranking. | GGUF (opens in a new tab) |
Q5_K_M | 11.6 GB | 96.0 GB | 79.8 tok/s | Runs great | 15Basic quality (D) · 15 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 49/100 (quality, fit, speed and memory use) sets the ranking. | GGUF (opens in a new tab) |
Q6_K | 11.9 GB | 96.0 GB | 67.1 tok/s | Runs great | 15Basic quality (D) · 15 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 49/100 (quality, fit, speed and memory use) sets the ranking. | GGUF (opens in a new tab) |
Q8_0 | 12.6 GB | 96.0 GB | 49.2 tok/s | Runs great | 16Basic quality (D) · 16 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. | GGUF (opens in a new tab) |
F16 | 15.2 GB | 96.0 GB | 22.7 tok/s | Runs well | 16Basic quality (D) · 16 of 100: how capable the model is at F16, whatever it runs on. Match score 47/100 (quality, fit, speed and memory use) sets the ranking. | Original weights (opens in a new tab) |
Memory figures assume 4K of context. Longer conversations or documents grow the KV cache.
Other hardware that runs it
-
16Basic quality (D) · 16 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA GeForce RTX 4060
-
16Basic quality (D) · 16 of 100: how capable the model is at F16, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA GeForce RTX 4070 SUPER
-
16Basic quality (D) · 16 of 100: how capable the model is at F16, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking.
AMD Radeon RX 9070 XT
-
16Basic quality (D) · 16 of 100: how capable the model is at F16, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA GeForce RTX 4070 Ti SUPER
-
16Basic quality (D) · 16 of 100: how capable the model is at F16, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA GeForce RTX 4080 SUPER
-
16Basic quality (D) · 16 of 100: how capable the model is at F16, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA GeForce RTX 5060 Ti 16GB
Quick answers
How much memory does StableLM Zephyr 3B need on the AMD Ryzen AI Max+ 395 128GB?
At Q8_0 it needs about 12.6 GB. The AMD Ryzen AI Max+ 395 128GB has 96.0 GB usable.
How fast is StableLM Zephyr 3B on the AMD Ryzen AI Max+ 395 128GB?
About 49.2 tok/s at Q8_0, an estimate from the hardware’s memory bandwidth and the size of the model.
Which quantization of StableLM Zephyr 3B should I use on the AMD Ryzen AI Max+ 395 128GB?
Q8_0. 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.