| Q4_K_M |
✅ Smallest size (fastest inference) |
❌ Lowest accuracy compared to other quants |
|
✅ Requires the least VRAM/RAM |
❌ May struggle with complex reasoning |
|
✅ Ideal for edge devices & low-resource setups |
❌ Can produce slightly degraded text quality |
| Q5_K_M |
✅ Better accuracy than Q4, while still compact |
❌ Slightly larger model size than Q4 |
|
✅ Good balance between speed and precision |
❌ Needs a bit more VRAM than Q4 |
|
✅ Works well on mid-range GPUs |
❌ Still not as accurate as higher-bit models |
| Q8_0 |
✅ Highest accuracy (closest to full model) |
❌ Requires significantly more VRAM/RAM |
|
✅ Best for complex reasoning & detailed outputs |
❌ Slower inference compared to Q4 & Q5 |
|
✅ Suitable for high-end GPUs & serious workloads |
❌ Larger file size (takes more storage) |
