Gemma 4 E4B needs ~7.9 GB VRAM. Radeon RX 7700S 8GB has 8.0 GB. With Q4_K_M quantization, expect ~28 tok/s.
Operating mode
Interactive favors responsiveness, while light API and scale-out lean harder on serving readiness. The fit stays the same, but the recommendation lens changes.
Current mode
Balanced
Balanced for general local use. Keeps the ranking neutral across personal and serving workflows.
Select quantization to explore
Fit status
Runs with offload
Decode
28.4 tok/s
TTFT
6825 ms
Safe context
18K
Memory
7.9 GB / 8.0 GB
This setup is broadly balanced for this model.
Very little memory headroom
You can run the model, but there is not much room left for longer context, bigger batches, extra apps, or future model updates.
Buy headroom, not only minimum fit
A slightly larger memory tier gives you safer context growth and makes the recommendation more future-proof.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | A | Tight fit | 28.4 tok/s | 3723 ms | 18K |
| Coding | A | Runs with offload | 28.4 tok/s | 6825 ms | 18K |
| Agentic Coding | B | Very compromised (needs ~0.6 GB host RAM) | 16.1 tok/s | 17534 ms | 18K |
| Reasoning | A | Runs with offload | 28.4 tok/s | 8066 ms | 18K |
| RAG | B | Very compromised (needs ~0.6 GB host RAM) | 16.1 tok/s | 21918 ms |
How Gemma 4 E4B (8B params) fits at each quantization level on Radeon RX 7700S 8GB (8.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 3.1 GB | Low | A81 |
Q3_K_S | 3 | 3.9 GB | Low | A81 |
NVFP4 | 4 |
Copy-paste commands to run Gemma 4 E4B on your machine.
Run
ollama run gemma4:e4bYour hardware
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
| 9B | A | 17.8 tok/s | ||
| 9B | A | 33.9 tok/s |
Yes, Radeon RX 7700S 8GB can run Gemma 4 E4B with a A grade (Runs with offload). Expected decode speed: 28.4 tok/s.
Gemma 4 E4B (8B parameters) requires approximately 7.9 GB of memory with Q4_K_M quantization.
The recommended quantization for Gemma 4 E4B is Q4_K_M, which balances quality and memory efficiency.
On Radeon RX 7700S 8GB, Gemma 4 E4B achieves approximately 28.4 tokens per second decode speed with a time-to-first-token of 6825ms using Q4_K_M quantization.
For coding workloads, Gemma 4 E4B on Radeon RX 7700S 8GB receives a A grade with 28.4 tok/s and 18K context.
On Radeon RX 7700S 8GB, Gemma 4 E4B can safely use up to 18K tokens of context. The model's official context limit is 128K, but available memory constrains the safe maximum.
Paste this snippet into any page to show a live fit card.
<iframe src="https://willitrunai.com/embed/gemma-4-e4b-on-rx-7700s-8gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
| 18K |
| Medium |
| A80 |
Q4_K_MBest for your GPU | 4 | 4.9 GB | Medium | A80 |
Q5_K_M | 5 | 5.8 GB | High | F0 |
Q6_K | 6 | 6.6 GB | High | F0 |
Q8_0 | 8 | 8.6 GB | Very High | F0 |
F16 | 16 | 16.4 GB | Maximum | F0 |
Buy headroom, not only minimum fit. A slightly larger memory tier gives you safer context growth and makes the recommendation more future-proof.