Can the AMD Radeon RX 7900 XTX run Llama 3.1 8B?
- FP16
- Q8_0
- Q6_K
- Q5_K_M
- Q4_K_M
- Q3_K_M
- Q2_K
Yes. The AMD Radeon RX 7900 XTX can run Llama 3.1 8B fully in VRAM at FP16 (full quality), using about 17.7 GB of the 24 GB available, at roughly 36 tokens/second.
Run it with Ollama
With Ollama installed, one command downloads and starts Llama 3.1 8B:
ollama run llama3.1:8bOllama's default download is Q4_K_M (about 6.5 GB here). You have room for FP16, which is full quality: pick that GGUF in LM Studio or from Hugging Face.
Run it in the cloud
No AMD Radeon RX 7900 XTX? Run Llama 3.1 8B in the cloud.
Rent a cloud GPU by the hour. No upfront cost, stop any time.
Memory needed by quantization
At 8,192 tokens of context. The black line marks the 24 GB the AMD Radeon RX 7900 XTX can use.
| Quant | Quality | Memory | Fits? | Speed | |
|---|---|---|---|---|---|
| FP16 | Full quality | 17.7 GB | Fits | ~36 tok/s | |
| Q8_0 | Near-lossless | 10.2 GB | Fits | ~68 tok/s | |
| Q6_K | Excellent | 8.3 GB | Fits | ~87 tok/s | |
| Q5_K_M | Very good | 7.4 GB | Fits | ~101 tok/s | |
| Q4_K_M | Good, most popular | 6.5 GB | Fits | ~118 tok/s | |
| Q3_K_M | Noticeably degraded | 5.6 GB | Fits | ~147 tok/s | |
| Q2_K | Heavily degraded | 4.7 GB | Fits | ~191 tok/s |
GPUs that run Llama 3.1 8B comfortably
Frequently asked questions
Can AMD Radeon RX 7900 XTX run Llama 3.1 8B?
Yes. The AMD Radeon RX 7900 XTX can run Llama 3.1 8B fully in VRAM at FP16 (full quality), using about 17.7 GB of the 24 GB available, at roughly 36 tokens/second.
How much VRAM does Llama 3.1 8B need?
About 6.5 GB at Q4_K_M with 8,192 tokens of context, and about 17.7 GB at full FP16 precision.
How fast is Llama 3.1 8B on the AMD Radeon RX 7900 XTX?
Roughly 36 tokens per second at FP16, estimated from the AMD Radeon RX 7900 XTX's 960 GB/s memory bandwidth.