text model · mistral · Windows
Can I run Mistral Nemo 12B on AMD Radeon RX 7900 XTX (24GB)?
Yes. Mistral Nemo 12B runs on AMD Radeon RX 7900 XTX (24GB) at Q4_K_M (~8.6 GB of ~23 GB usable).
Runs at Q4_K_M using ~8.6 GB of ~23 GB usable. You have room for Q8_0 for higher quality.
- Q4_K_M needed
- ~8.6 GB
- Usable on device
- ~23 GB
- Device memory
- 24 GB
- Best quant
- Q4_K_M
Run it
Pick your tool. All three load the same Q4_K_M weights.
ollama run mistral-nemo:12b llama-cli -hf bartowski/Mistral-Nemo-Instruct-2407-GGUF:Q4_K_M lms get bartowski/Mistral-Nemo-Instruct-2407-GGUF AMD GPUs run via Vulkan/ROCm at roughly half CUDA throughput. NVIDIA is the smooth path on Windows.
- Parameters
- 12.2B
- Q4_K_M size
- 6.96 GB
- Q8_0 size
- 12.13 GB
- Context
- 128k
- Ollama tag
- mistral-nemo:12b
- Memory
- 24 GB vram
- Usable for weights
- ~23 GB
- Best runtime
- Ollama (ROCm) / llama.cpp ROCm (Linux)
You could also run
Run Mistral Nemo 12B on other hardware
FAQ
Can AMD Radeon RX 7900 XTX (24GB) run Mistral Nemo 12B?
Yes. Mistral Nemo 12B runs on AMD Radeon RX 7900 XTX (24GB) at Q4_K_M (~8.6 GB of ~23 GB usable).
How much memory does Mistral Nemo 12B need?
AMD Radeon RX 7900 XTX (24GB) has room to spare. At Q4_K_M the weights are ~6.96 GB; with KV cache and runtime overhead, budget ~8.6 GB at a 4k context.
What is the best tool to run Mistral Nemo 12B on Windows?
LM Studio for a simple setup; Ollama (CUDA) for the most speed. AMD GPUs run via Vulkan/ROCm at roughly half CUDA throughput. NVIDIA is the smooth path on Windows.
Sources
Memory figures are estimates. See methodology.