RecurrentGemma 9B IT on Intel Core i3-8100 / Pentium (8th gen desktop) NAS (8 GB)
Can the Intel Core i3-8100 / Pentium (8th gen desktop) NAS (8 GB) run RecurrentGemma 9B IT?
Yes, but slowly (tight fit)
Slow (tight fit). At Q2_K it needs about 5.0 GB of 5.2 GB usable, with an estimated speed of 5.0 tok/s.
- Best quant
Q2_K- Generation speed
- 5.0 tok/s
- Prompt processing
- 8.3 tok/s
- First token (1K prompt)
- 123.3 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 | 10.7 / 45 | |
|---|---|---|
| Memory fit | 24.0 / 25 | |
| Speed | 5.3 / 15 | |
| Memory use | 15.0 / 15 | |
| Match score | 55.0 / 100 |
Every quantization on the Intel Core i3-8100 / Pentium (8th gen desktop) NAS (8 GB)
| Quant | Memory needed | Available | Speed | Runs | Quality | Download |
|---|---|---|---|---|---|---|
Q2_K | 5.0 GB | 5.2 GB | 5.0 tok/s | Slowtight fit | 23Basic quality (D) · 23 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. | All files (opens in a new tab) |
Q3_K_M | 5.8 GB | 5.2 GB | 3.3 tok/s | Slowfar over memory limit | 28Basic quality (D) · 28 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 36/100 (quality, fit, speed and memory use) sets the ranking. | All files (opens in a new tab) |
Q4_K_M | 7.0 GB | 5.2 GB | — | Won't run | 32Basic quality (D) · 32 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 4/100 (quality, fit, speed and memory use) sets the ranking. | All files (opens in a new tab) |
Q5_K_M | 8.0 GB | 5.2 GB | — | Won't run | 32Basic quality (D) · 32 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 4/100 (quality, fit, speed and memory use) sets the ranking. | All files (opens in a new tab) |
Q6_K | 9.0 GB | 5.2 GB | — | Won't run | 33Basic quality (D) · 33 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 4/100 (quality, fit, speed and memory use) sets the ranking. | All files (opens in a new tab) |
Q8_0 | 11.3 GB | 5.2 GB | — | Won't run | 34Basic quality (D) · 34 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 4/100 (quality, fit, speed and memory use) sets the ranking. | All files (opens in a new tab) |
F16 | 20.4 GB | 5.2 GB | — | Won't run | 34Basic quality (D) · 34 of 100: how capable the model is at F16, whatever it runs on. Match score 4/100 (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
-
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 Intel Core i3-8100 / Pentium (8th gen desktop) NAS 8GB?
At Q2_K it needs about 5.0 GB. The Intel Core i3-8100 / Pentium (8th gen desktop) NAS 8GB has 5.2 GB usable.
How fast is RecurrentGemma 9B IT on the Intel Core i3-8100 / Pentium (8th gen desktop) NAS 8GB?
About 5.0 tok/s at Q2_K, 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 Intel Core i3-8100 / Pentium (8th gen desktop) NAS 8GB?
Q2_K. 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.