AMD Radeon RX 7800 XT
AMD · 16GB GDDR6 · Can run 49 models
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| Manufacturer | AMD |
| VRAM | 16 GB |
| Memory Type | GDDR6 |
| Architecture | RDNA 3 |
| Stream Procs | 3,840 |
| Bandwidth | 624 GB/s |
| TDP | 263W |
| MSRP | $499 |
| Released | Sep 6, 2023 |
AI Notes
The RX 7800 XT is a strong mid-range option for local AI with 16GB of GDDR6 VRAM. It can run 13B-parameter models and attempt 30B models with aggressive quantization. At its price point, it offers more VRAM than competing NVIDIA cards, though ROCm software support requires additional setup.
Compatible Models
| Model | Parameters | Best Quant | VRAM Used | Fit | Est. Speed |
|---|---|---|---|---|---|
| Qwen 3 0.6B | 600M | Q4_K_M | 2.5 GB | Runs | ~250 tok/s |
| Gemma 3 1B | 1B | Q8_0 | 2 GB | Runs | ~312 tok/s |
| Llama 3.2 1B | 1B | Q8_0 | 3 GB | Runs | ~208 tok/s |
| DeepSeek R1 1.5B | 1.5B | Q8_0 | 3 GB | Runs | ~208 tok/s |
| Gemma 2 2B | 2B | Q8_0 | 4 GB | Runs | ~156 tok/s |
| Gemma 3n E2B | 2B | Q4_K_M | 3.3 GB | Runs | ~189 tok/s |
| Llama 3.2 3B | 3B | Q8_0 | 5 GB | Runs | ~125 tok/s |
| Phi-3 Mini 3.8B | 3.8B | Q8_0 | 5.8 GB | Runs | ~108 tok/s |
| Phi-4 Mini 3.8B | 3.8B | Q4_K_M | 4.5 GB | Runs | ~139 tok/s |
| Gemma 3 4B | 4B | Q4_K_M | 5 GB | Runs | ~125 tok/s |
| Gemma 3n E4B | 4B | Q4_K_M | 4.5 GB | Runs | ~139 tok/s |
| Qwen 3 4B | 4B | Q4_K_M | 4.5 GB | Runs | ~139 tok/s |
| DeepSeek R1 7B | 7B | Q8_0 | 9 GB | Runs | ~69 tok/s |
| Falcon 3 7B | 7B | Q4_K_M | 6.8 GB | Runs | ~92 tok/s |
| Mistral 7B | 7B | Q8_0 | 9 GB | Runs | ~69 tok/s |
| Qwen 2.5 7B | 7B | Q8_0 | 9 GB | Runs | ~69 tok/s |
| Qwen 2.5 Coder 7B | 7B | Q8_0 | 9 GB | Runs | ~69 tok/s |
| Qwen 2.5 VL 7B | 7B | Q4_K_M | 7 GB | Runs | ~89 tok/s |
| Cogito 8B | 8B | Q4_K_M | 7.5 GB | Runs | ~83 tok/s |
| DeepSeek R1 8B | 8B | Q4_K_M | 7.5 GB | Runs | ~83 tok/s |
| Llama 3.1 8B | 8B | Q8_0 | 10 GB | Runs | ~62 tok/s |
| Nemotron 3 Nano 8B | 8B | Q4_K_M | 7.5 GB | Runs | ~83 tok/s |
| Qwen 3 8B | 8B | Q4_K_M | 7.5 GB | Runs | ~83 tok/s |
| Gemma 2 9B | 9B | Q8_0 | 11 GB | Runs | ~57 tok/s |
| Falcon 3 10B | 10B | Q4_K_M | 8.5 GB | Runs | ~73 tok/s |
| Llama 3.2 Vision 11B | 11B | Q4_K_M | 8.5 GB | Runs | ~73 tok/s |
| Gemma 3 12B | 12B | Q4_K_M | 10.5 GB | Runs | ~59 tok/s |
| Mistral Nemo 12B | 12B | Q4_K_M | 9.5 GB | Runs | ~66 tok/s |
| DeepSeek R1 14B | 14B | Q4_K_M | 9.9 GB | Runs | ~63 tok/s |
| Phi-4 14B | 14B | Q4_K_M | 9.9 GB | Runs | ~63 tok/s |
| Phi-4 Reasoning 14B | 14B | Q4_K_M | 11 GB | Runs | ~57 tok/s |
| Qwen 2.5 14B | 14B | Q4_K_M | 9.9 GB | Runs | ~63 tok/s |
| Qwen 2.5 Coder 14B | 14B | Q4_K_M | 12 GB | Runs | ~52 tok/s |
| Qwen 3 14B | 14B | Q4_K_M | 12 GB | Runs | ~52 tok/s |
| Codestral 22B | 22B | Q4_K_M | 14.7 GB | Runs (tight) | ~42 tok/s |
| StarCoder2 15B | 15B | Q8_0 | 17 GB | CPU Offload | ~11 tok/s |
| Devstral 24B | 24B | Q4_K_M | 17 GB | CPU Offload | ~11 tok/s |
| Magistral Small 24B | 24B | Q4_K_M | 17 GB | CPU Offload | ~11 tok/s |
| Mistral Small 3.1 24B | 24B | Q4_K_M | 18 GB | CPU Offload | ~11 tok/s |
| Gemma 2 27B | 27B | Q4_K_M | 17.7 GB | CPU Offload | ~11 tok/s |
| Gemma 3 27B | 27B | Q4_K_M | 20 GB | CPU Offload | ~9 tok/s |
| Qwen 3 30B-A3B (MoE) | 30B | Q4_K_M | 22 GB | CPU Offload | ~8 tok/s |
| Cogito 32B | 32B | Q4_K_M | 21.5 GB | CPU Offload | ~9 tok/s |
| DeepSeek R1 32B | 32B | Q4_K_M | 20.7 GB | CPU Offload | ~9 tok/s |
| Qwen 2.5 32B | 32B | Q4_K_M | 20.7 GB | CPU Offload | ~9 tok/s |
| Qwen 2.5 Coder 32B | 32B | Q4_K_M | 23 GB | CPU Offload | ~8 tok/s |
| Qwen 3 32B | 32B | Q4_K_M | 23 GB | CPU Offload | ~8 tok/s |
| QwQ 32B | 32B | Q4_K_M | 21.5 GB | CPU Offload | ~9 tok/s |
| Command R 35B | 35B | Q4_K_M | 22.5 GB | CPU Offload | ~8 tok/s |
20
model(s) are too large for this hardware.