§01·compatibility · /check
Llama 3.1 8B on RX 7900 XTX
Yes — Llama 3.1 8B runs on the RX 7900 XTX (24 GB). Fastest community-measured result: 51.3 tokens/s, with 24 GB peak VRAM.
✓ runsllmactiveamd series24GB VRAM
§02·benchmarks
| Task | Quant | Speed | VRAM | Works | Confidence | Source | Verified |
|---|---|---|---|---|---|---|---|
| llm | Q4_K - Medium | 51.3tokens/s | 24GB | ✓ | localscore.ai· web | 2026-05-15 |
§03·common questions
Can you run Llama 3.1 8B on RX 7900 XTX?
Yes — Llama 3.1 8B runs on the RX 7900 XTX (24 GB). Fastest community-measured result: 51.3 tokens/s, with 24 GB peak VRAM.
How much VRAM does Llama 3.1 8B need on RX 7900 XTX?
Measured peak VRAM is 24 GB.
Which quantizations have been tested for Llama 3.1 8B on RX 7900 XTX?
Q4_K - Medium — measured in community benchmarks.
How fast is Llama 3.1 8B on RX 7900 XTX?
Up to 51.3 tokens/s (llm), the fastest community-measured result.
Are there step-by-step instructions for Llama 3.1 8B on RX 7900 XTX?
Yes — a step-by-step recipe documents Llama 3.1 8B on the RX 7900 XTX; see the recipes listed below.
§04·related recipes
- llmbeginner8GB+
Llama 3.1 8B on Radeon RX 7900 XTX: Local Chat via Ollama or llama.cpp HIP (ROCm) GGUF
- llmbeginner8GB+
Llama 3.1 8B on RTX 3060 Ti: Local Chat via Ollama or llama.cpp + Unsloth UD-Q4_K_XL GGUF
- llmbeginner5GB+
Llama 3.1 8B on Apple M2 Pro: your first local LLM in 16 GB unified memory with MLX
- llmbeginner5GB+
Llama 3.1 8B on Apple M3 Max: the easy local-LLM on-ramp in unified memory with MLX
- llmbeginner5GB+
Llama 3.1 8B on Apple M4 Max: the easy local-LLM on-ramp in unified memory with MLX