Can I Run / gemma 4 E4B it / on AMD RX 7700 XT
Can I Run gemma 4 E4B it on a AMD RX 7700 XT?
Yes
Runs at Q8_0 — near-lossless quality.
Model size
8.0B
GPU memory
12.0GB
Smallest quant
Q3_K_S
Best fit
Q8_0
10 quantizations fit your 12.0GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| Q8_0BEST | 9.5 GB | 11.0 GB | 8.2 GB | +2.5 GB |
| Q6_K | 7.6 GB | 9.1 GB | 7.1 GB | +4.4 GB |
| Q5_K_M | 6.7 GB | 8.2 GB | 5.5 GB | +5.3 GB |
| Q5_K_S | 6.5 GB | 8.0 GB | 5.4 GB | +5.5 GB |
| Q4_1 | 6.0 GB | 7.5 GB | 5.1 GB | +6.0 GB |
| Q4_K_M | 5.8 GB | 7.3 GB | 5.0 GB | +6.2 GB |
| Q4_K_S | 5.6 GB | 7.1 GB | 4.8 GB | +6.4 GB |
| Q4_0 | 5.5 GB | 7.0 GB | 4.8 GB | +6.5 GB |
| Q3_K_M | 4.3 GB | 5.8 GB | 4.1 GB | +7.7 GB |
| Q3_K_S | 4.1 GB | 5.6 GB | 3.9 GB | +7.9 GB |
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Full model details
gemma 4 E4B it →
All quant variants, benchmark scores, and use-case tags.
Best models for this GPU
AMD RX 7700 XT →
Top-ranked open-source models that fit in 12.0GB.
FAQ
Can the AMD RX 7700 XT run gemma 4 E4B it?
Yes. The AMD RX 7700 XT's 12.0GB of VRAM is enough to run gemma 4 E4B it at Q8_0 quantization (9.5GB required).
What's the best quantization to use?
Q8_0 is the highest-precision quantization that fits in your 12.0GB. It uses about 9.5GB of memory and 11.0GB recommended for comfortable inference.
What if I need more headroom for context length?
KV cache memory grows with context length. The numbers above assume a baseline 2K-4K context. For long-context use (32K+), add another 2-6GB depending on the model architecture.