Gemma 1.1 7B IT on AMD Ryzen 7 3700X / 5 3600 NAS (4 GB)
Can the AMD Ryzen 7 3700X / 5 3600 NAS (4 GB) run Gemma 1.1 7B IT?
No, it doesn’t fit
No. Gemma 1.1 7B IT needs about 7.9 GB even at Q2_K; the AMD Ryzen 7 3700X / 5 3600 NAS (4 GB) has 2.0 GB usable.
Download Gemma 1.1 7B IT
Recommended: Q2_K. 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 gemma:7b-instruct-v1.1-q2_KQuantized files · GGUF
Works in LM Studio, llama.cpp, Jan and Ollama. No sign-in needed.
huggingface.co/google/gemma-1.1-7b-it-GGUF (opens in a new tab)
ollama run hf.co/google/gemma-1.1-7b-it-GGUFOriginal weights · Hugging Face
Full-precision files from Google, for fine-tuning, vLLM, Transformers.
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 | 2.6 / 45 | |
|---|---|---|
| Memory fit | 0.0 / 25 | |
| Speed | 0.0 / 15 | |
| Memory use | 0.0 / 15 | |
| Match score | 2.6 / 100 |
Every quantization on the AMD Ryzen 7 3700X / 5 3600 NAS (4 GB)
| Quant | Memory needed | Available | Speed | Runs | Quality | Download |
|---|---|---|---|---|---|---|
Q2_K | 7.9 GB | 2.0 GB | — | Won't run | 19Basic quality (D) · 19 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 2/100 (quality, fit, speed and memory use) sets the ranking. | |
Q3_K_M | 8.7 GB | 2.0 GB | — | Won't run | 23Basic quality (D) · 23 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 3/100 (quality, fit, speed and memory use) sets the ranking. | |
Q4_K_M | 9.7 GB | 2.0 GB | — | Won't run | 26Basic quality (D) · 26 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 3/100 (quality, fit, speed and memory use) sets the ranking. | |
Q5_K_M | 10.6 GB | 2.0 GB | — | Won't run | 27Basic quality (D) · 27 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 3/100 (quality, fit, speed and memory use) sets the ranking. | |
Q6_K | 11.5 GB | 2.0 GB | — | Won't run | 27Basic quality (D) · 27 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 3/100 (quality, fit, speed and memory use) sets the ranking. | |
Q8_0 | 13.6 GB | 2.0 GB | — | Won't run | 28Basic quality (D) · 28 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 3/100 (quality, fit, speed and memory use) sets the ranking. | |
F16 | 21.6 GB | 2.0 GB | — | Won't run | 28Basic quality (D) · 28 of 100: how capable the model is at F16, whatever it runs on. Match score 3/100 (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.
Hardware that can run it
-
28Basic quality (D) · 28 of 100: how capable the model is at F16, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA GeForce RTX 5090
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27Basic quality (D) · 27 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking.
AMD Radeon RX 9070 XT
-
27Basic quality (D) · 27 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA GeForce RTX 4070 Ti SUPER
-
27Basic quality (D) · 27 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA GeForce RTX 4080 SUPER
-
27Basic quality (D) · 27 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA GeForce RTX 5060 Ti 16GB
-
27Basic quality (D) · 27 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA GeForce RTX 5070 Ti
Models that do run on the AMD Ryzen 7 3700X / 5 3600 NAS (4 GB)
- 53Fair quality (C) · 53 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking. LFM3 1.7B
- 40Fair quality (C) · 40 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking. PaddleOCR-VL 1.6 0.9B
- 39Basic quality (D) · 39 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking. MiniCPM-OCR 1.0 1.3B
- 42Fair quality (C) · 42 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking. LFM3-VL 2B
- 34Basic quality (D) · 34 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking. MiniCPM5 1B
Quick answers
How much memory does Gemma 1.1 7B IT need on the AMD Ryzen 7 3700X / 5 3600 NAS 4GB?
Even at Q2_K it needs about 7.9 GB; the AMD Ryzen 7 3700X / 5 3600 NAS 4GB has 2.0 GB usable.
What can the AMD Ryzen 7 3700X / 5 3600 NAS 4GB run instead?
LFM3 1.7B, PaddleOCR-VL 1.6 0.9B and MiniCPM-OCR 1.0 1.3B run best on it; the page lists more, each with its speed.
What hardware can run Gemma 1.1 7B IT?
RTX 5090 32GB, RX 9070 XT 16GB and RTX 4070 Ti SUPER 16GB run it; the page lists more, each with its speed.
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.