LFM2 8B-A1B on AMD Ryzen AI Max+ PRO 495 NAS (192 GB)
Can the AMD Ryzen AI Max+ PRO 495 NAS (192 GB) run LFM2 8B-A1B?
Yes, it runs great
Runs great. At Q8_0 it needs about 22.3 GB of 159 GB usable, with an estimated speed of 71.4 tok/s.
- Best quant
Q8_0- Generation speed
- 71.4 tok/s
- Prompt processing
- 25,379 tok/s
- First token (1K prompt)
- 0.3 s
- Largest safe context
- 125K
Best app to run it on the AMD Ryzen AI Max+ PRO 495 NAS (192 GB)
Download LFM2 8B-A1B
Recommended for the AMD Ryzen AI Max+ PRO 495 NAS (192 GB): Q8_0. Every other quantization has its own download link in the table below.
Quantized 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/LiquidAI/LFM2-8B-A1B-GGUF (opens in a new tab)
ollama run hf.co/LiquidAI/LFM2-8B-A1B-GGUF:Q8_0Original weights · Hugging Face
Full-precision files from Liquid AI, for fine-tuning, vLLM, Transformers.
Official repo · GitHub
Reference code, inference scripts and docs from Liquid AI. The weights themselves download from Hugging Face.
github.com/Liquid4All/cookbook (opens in a new tab)
git clone https://github.com/Liquid4All/cookbookHow 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 | 17.1 / 45 | |
|---|---|---|
| Memory fit | 25.0 / 25 | |
| Speed | 15.0 / 15 | |
| Memory use | 3.2 / 15 | |
| Match score | 60.3 / 100 |
Every quantization on the AMD Ryzen AI Max+ PRO 495 NAS (192 GB)
| Quant | Memory needed | Available | Speed | Runs | Quality | Download |
|---|---|---|---|---|---|---|
Q2_K | 16.8 GB | 159 GB | 159 tok/s | Runs great | 26Basic quality (D) · 26 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 54/100 (quality, fit, speed and memory use) sets the ranking. | GGUF files (opens in a new tab) |
Q3_K_M | 17.5 GB | 159 GB | 138 tok/s | Runs great | 31Basic quality (D) · 31 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 56/100 (quality, fit, speed and memory use) sets the ranking. | GGUF files (opens in a new tab) |
Q4_K_M | 18.5 GB | 159 GB | 117 tok/s | Runs great | 36Basic quality (D) · 36 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking. | GGUF (opens in a new tab) |
Q5_K_M | 19.4 GB | 159 GB | 102 tok/s | Runs great | 36Basic quality (D) · 36 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking. | GGUF (opens in a new tab) |
Q6_K | 20.3 GB | 159 GB | 90.1 tok/s | Runs great | 37Basic quality (D) · 37 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking. | GGUF (opens in a new tab) |
Q8_0 | 22.3 GB | 159 GB | 71.4 tok/s | Runs great | 38Basic quality (D) · 38 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking. | GGUF (opens in a new tab) |
F16 | 30.1 GB | 159 GB | 37.7 tok/s | Runs great | 38Basic quality (D) · 38 of 100: how capable the model is at F16, whatever it runs on. Match score 61/100 (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.
Other hardware that runs it
-
38Basic quality (D) · 38 of 100: how capable the model is at F16, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.
AMD Radeon RX 7900 XTX
-
38Basic quality (D) · 38 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.
Apple M4 Pro (24 GB)
-
38Basic quality (D) · 38 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.
Intel Arc B580
-
38Basic quality (D) · 38 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA GeForce RTX 3060 12GB
-
38Basic quality (D) · 38 of 100: how capable the model is at F16, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA GeForce RTX 3090
-
38Basic quality (D) · 38 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA GeForce RTX 4070 SUPER
Quick answers
How much memory does LFM2 8B-A1B need on the AMD Ryzen AI Max+ PRO 495 NAS 192GB?
At Q8_0 it needs about 22.3 GB. The AMD Ryzen AI Max+ PRO 495 NAS 192GB has 159 GB usable.
How fast is LFM2 8B-A1B on the AMD Ryzen AI Max+ PRO 495 NAS 192GB?
About 71.4 tok/s at Q8_0, an estimate from the hardware’s memory bandwidth and the size of the model.
Which quantization of LFM2 8B-A1B should I use on the AMD Ryzen AI Max+ PRO 495 NAS 192GB?
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.