Can the AMD Radeon RX 7900 XTX run Llama 3.2 1B?

Radeon RX 7900 XTX × Llama 3.2 1B8K context
YesRuns fully on the GPU
Memory at FP163.3 GB of 24 GB
Weights 2.5 GBKV cache 0.3 GBRuntime 0.6 GB
QuantFP16Full quality
Memory3.3 GBof 24 GB usable
Speed~232tokens per second
  1. FP16
  2. Q8_0
  3. Q6_K
  4. Q5_K_M
  5. Q4_K_M
  6. Q3_K_M
  7. Q2_K

Yes. The AMD Radeon RX 7900 XTX can run Llama 3.2 1B fully in VRAM at FP16 (full quality), using about 3.3 GB of the 24 GB available, at roughly 232 tokens/second.

Run it with Ollama

With Ollama installed, one command downloads and starts Llama 3.2 1B:

ollama run llama3.2:1b

Ollama's default download is Q4_K_M (about 1.6 GB here). You have room for FP16, which is full quality: pick that GGUF in LM Studio or from Hugging Face.

New to this? Step-by-step setup for the Radeon RX 7900 XTX

Run it in the cloud

No AMD Radeon RX 7900 XTX? Run Llama 3.2 1B 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.

QuantQualityMemoryFits?Speed
FP16Full quality3.3 GBFits~232 tok/s
Q8_0Near-lossless2.2 GBFits~437 tok/s
Q6_KExcellent1.9 GBFits~566 tok/s
Q5_K_MVery good1.8 GBFits~653 tok/s
Q4_K_MGood, most popular1.6 GBFits~766 tok/s
Q3_K_MNoticeably degraded1.5 GBFits~950 tok/s
Q2_KHeavily degraded1.3 GBFits~1239 tok/s

Frequently asked questions

Can AMD Radeon RX 7900 XTX run Llama 3.2 1B?

Yes. The AMD Radeon RX 7900 XTX can run Llama 3.2 1B fully in VRAM at FP16 (full quality), using about 3.3 GB of the 24 GB available, at roughly 232 tokens/second.

How much VRAM does Llama 3.2 1B need?

About 1.6 GB at Q4_K_M with 8,192 tokens of context, and about 3.3 GB at full FP16 precision.

How fast is Llama 3.2 1B on the AMD Radeon RX 7900 XTX?

Roughly 232 tokens per second at FP16, estimated from the AMD Radeon RX 7900 XTX's 960 GB/s memory bandwidth.