Update README.md

README.md

@@ -34,15 +34,16 @@ state of the art AI models and helping foster innovation for everyone.
 ## Quantizon types
 | quantization method | bits | size | description | recommended |
 |---------------------|------|----------|-----------------------------------------------------|-------------|
-| Q3_K_S | 3 | 20.4 GB | very small, high quality loss | ❌ |
-| Q3_K_L | 3 | 26.4 GB | small, substantial quality loss | ❌ |
-| Q4_0 | 4 | 26.4 GB | legacy; small, very high quality loss | ❌ |
-| Q4_K_M | 4 | 28.4 GB | medium, balanced quality | ✅ |
-| Q5_0 | 5 | 33.2 GB | legacy; medium, balanced quality | ❌ |
-| Q5_K_S | 5 | 32.2 GB | large, low quality loss | ✅ |
-| Q5_K_M | 5 | 33.2 GB | large, very low quality loss | ✅ |
-| Q6_K | 6 | 38.4 GB | very large, extremely low quality loss | ❌ |
-| Q8_0 | 8 | 49.6 GB | very large, extremely low quality loss | ❌ |
+| Q3_K_S | 3 | 3.68 GB | very small, high quality loss | ❌ |
+| Q3_K_L | 3 | 4.4 GB | small, substantial quality loss | ❌ |
+| Q4_0 | 4 | 4.81 GB | legacy; small, very high quality loss | ❌ |
+| Q4_K_M | 4 | 5.13 GB | medium, balanced quality | ✅ |
+| Q5_0 | 5 | 5.88 GB | legacy; medium, balanced quality | ❌ |
+| Q5_K_S | 5 | 5.88 GB | large, low quality loss | ✅ |
+| Q5_K_M | 5 | 6.04 GB | large, very low quality loss | ✅ |
+| Q6_K | 6 | 7.01 GB | very large, extremely low quality loss | ❌ |
+| Q8_0 | 8 | 9.08 GB | very large, extremely low quality loss | ❌ |
+| FP16 | 16 | 17.1 GB | enormous, negligible quality loss | ❌ |
 
 ## Usage
 You can use this model with the latest builds of LM Studio and llama.cpp.