Models › Llama-3.2-3B-Instruct-uncensored
Llama-3.2-3B-Instruct-uncensored: VRAM needs and speed by GPU
At Q4_K_M, Llama-3.2-3B-Instruct-uncensored needs about 3.1 GB of VRAM. No measured runs yet. Speeds below are estimates. Submit a run.
3.61B parameters · 131,072-token context · GGUF published Oct 26, 2024 · GGUF files on Hugging Face
Memory needed per quantization
| Quant | File size | Needs (estimate) | Smallest card it fits |
|---|---|---|---|
| Q2_K | 1.5 GB | 2.4 GB | 8 GB cards |
| IQ3_XS | 1.6 GB | 2.5 GB | 8 GB cards |
| Q3_K_S | 1.7 GB | 2.6 GB | 8 GB cards |
| IQ3_M | 1.8 GB | 2.7 GB | 8 GB cards |
| Q3_K_M | 1.9 GB | 2.7 GB | 8 GB cards |
| Q2_K_L | 1.9 GB | 2.8 GB | 8 GB cards |
| Q3_K_L | 2.0 GB | 2.9 GB | 8 GB cards |
| IQ4_XS | 2.0 GB | 2.9 GB | 8 GB cards |
| Q4_0 | 2.1 GB | 3.0 GB | 8 GB cards |
| Q4_K_S | 2.1 GB | 3.0 GB | 8 GB cards |
| Q4_K_M | 2.2 GB | 3.1 GB | 8 GB cards |
| Q3_K_XL | 2.3 GB | 3.2 GB | 8 GB cards |
| Q4_K_L | 2.5 GB | 3.4 GB | 8 GB cards |
| Q5_K_S | 2.5 GB | 3.4 GB | 8 GB cards |
| Q5_K_M | 2.6 GB | 3.5 GB | 8 GB cards |
| Q5_K_L | 2.8 GB | 3.7 GB | 8 GB cards |
| Q6_K | 3.0 GB | 3.9 GB | 8 GB cards |
| Q6_K_L | 3.2 GB | 4.0 GB | 8 GB cards |
| Q8_0 | 3.8 GB | 4.7 GB | 8 GB cards |
| F16 | 7.2 GB | 8.1 GB | 12 GB cards |
Expected speed on popular hardware
| Hardware | Best quant that fits | Expected tok/s |
|---|---|---|
| NVIDIA RTX 3060 | Q8_0 | 80.2 estimate |
| NVIDIA RTX 4060 Ti | Q8_0 | 63.7 estimate |
| NVIDIA RTX 3090 | Q8_0 | 171 estimate |
| NVIDIA RTX 4090 | Q8_0 | 189 estimate |
| NVIDIA RTX 5090 | Q8_0 | 299 estimate |
| AMD Radeon RX 7900 XTX | Q8_0 | 190 estimate |
| Apple M4 Pro (20-core GPU) (64 GB) | Q8_0 | 60.3 estimate |
| Apple M3 Max (40-core GPU) (64 GB) | Q8_0 | 88.0 estimate |
| AMD Ryzen AI Max+ 395 (Radeon 8060S) | Q8_0 | 54.1 estimate |
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