RecurrentGemma 9B IT on AMD Ryzen 7 8845HS / Ryzen 7 255 NAS (48 GB)
Can the AMD Ryzen 7 8845HS / Ryzen 7 255 NAS (48 GB) run RecurrentGemma 9B IT?
Yes, it runs well
Runs well. At Q4_K_M it needs about 8.5 GB of 24.0 GB usable, with an estimated speed of 12.7 tok/s.
- Best quant
Q4_K_M- Generation speed
- 12.7 tok/s
- Prompt processing
- 1,379 tok/s
- First token (1K prompt)
- 0.7 s
- Largest safe context
- 8K
Download RecurrentGemma 9B IT
Original weights · Hugging Face
Full-precision files from Google, for fine-tuning, vLLM, Transformers.
huggingface.co/google/recurrentgemma-9b-it (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 | 14.5 / 45 | |
|---|---|---|
| Memory fit | 25.0 / 25 | |
| Speed | 8.4 / 15 | |
| Memory use | 8.2 / 15 | |
| Match score | 56.2 / 100 |
Every quantization on the AMD Ryzen 7 8845HS / Ryzen 7 255 NAS (48 GB)
| Quant | Memory needed | Available | Speed | Runs | Quality | Download |
|---|---|---|---|---|---|---|
Q2_K | 6.5 GB | 24.0 GB | 20.8 tok/s | Runs well | 23Basic quality (D) · 23 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 52/100 (quality, fit, speed and memory use) sets the ranking. | All files (opens in a new tab) |
Q3_K_M | 7.3 GB | 24.0 GB | 16.4 tok/s | Runs well | 28Basic quality (D) · 28 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 54/100 (quality, fit, speed and memory use) sets the ranking. | All files (opens in a new tab) |
Q4_K_M | 8.5 GB | 24.0 GB | 12.7 tok/s | Runs well | 32Basic quality (D) · 32 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 56/100 (quality, fit, speed and memory use) sets the ranking. | All files (opens in a new tab) |
Q5_K_M | 9.5 GB | 24.0 GB | 10.5 tok/s | Runs well | 32Basic quality (D) · 32 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 56/100 (quality, fit, speed and memory use) sets the ranking. | All files (opens in a new tab) |
Q6_K | 10.5 GB | 24.0 GB | 8.8 tok/s | Slow | 33Basic quality (D) · 33 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 57/100 (quality, fit, speed and memory use) sets the ranking. | All files (opens in a new tab) |
Q8_0 | 12.8 GB | 24.0 GB | 6.5 tok/s | Slow | 34Basic quality (D) · 34 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 58/100 (quality, fit, speed and memory use) sets the ranking. | All files (opens in a new tab) |
F16 | 21.9 GB | 24.0 GB | 3.0 tok/s | Very slowtight fit | 34Basic quality (D) · 34 of 100: how capable the model is at F16, whatever it runs on. Match score 58/100 (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
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34Basic quality (D) · 34 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA GeForce RTX 4070 Ti SUPER
-
34Basic quality (D) · 34 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA GeForce RTX 4080 SUPER
-
34Basic quality (D) · 34 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA GeForce RTX 5070 Ti
-
34Basic quality (D) · 34 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA GeForce RTX 5080
-
34Basic quality (D) · 34 of 100: how capable the model is at F16, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA GeForce RTX 5090
-
33Basic quality (D) · 33 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA GeForce RTX 4070 SUPER
Quick answers
How much memory does RecurrentGemma 9B IT need on the AMD Ryzen 7 8845HS / Ryzen 7 255 NAS 48GB?
At Q4_K_M it needs about 8.5 GB. The AMD Ryzen 7 8845HS / Ryzen 7 255 NAS 48GB has 24.0 GB usable.
How fast is RecurrentGemma 9B IT on the AMD Ryzen 7 8845HS / Ryzen 7 255 NAS 48GB?
About 12.7 tok/s at Q4_K_M, an estimate from the hardware’s memory bandwidth and the size of the model.
Which quantization of RecurrentGemma 9B IT should I use on the AMD Ryzen 7 8845HS / Ryzen 7 255 NAS 48GB?
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.