diff --git a/LLama/LLamaQuantizer.cs b/LLama/LLamaQuantizer.cs
index c3ff5613..f1d89586 100644
--- a/LLama/LLamaQuantizer.cs
+++ b/LLama/LLamaQuantizer.cs
@@ -1,8 +1,6 @@
 using LLama.Native;
 using System;
 using System.Collections.Generic;
-using System.Linq;
-using System.Text;
 
 namespace LLama
 {
@@ -36,8 +34,7 @@ namespace LLama
             quantizeParams.nthread = nthread;
             quantizeParams.allow_requantize = allowRequantize;
             quantizeParams.quantize_output_tensor = quantizeOutputTensor;
-            LLamaModelQuantizeParams* p = &quantizeParams;
-            return NativeApi.llama_model_quantize(srcFileName, dstFilename, p) == 0;
+            return NativeApi.llama_model_quantize(srcFileName, dstFilename, &quantizeParams) == 0;
         }
 
         /// <summary>
@@ -57,42 +54,71 @@ namespace LLama
             return Quantize(srcFileName, dstFilename, StringToFtype(ftype), nthread, allowRequantize, quantizeOutputTensor);
         }
 
-        private static bool ValidateFtype(string ftype)
-        {
-            return new string[] { "q4_0", "q4_1", "q5_0", "q5_1", "q8_0" }.Contains(ftype);
-        }
-
         private static bool ValidateFtype(LLamaFtype ftype)
         {
-            return ftype is LLamaFtype.LLAMA_FTYPE_MOSTLY_Q4_0 or LLamaFtype.LLAMA_FTYPE_MOSTLY_Q4_1
-                or LLamaFtype.LLAMA_FTYPE_MOSTLY_Q5_0 or LLamaFtype.LLAMA_FTYPE_MOSTLY_Q5_1 or LLamaFtype.LLAMA_FTYPE_MOSTLY_Q8_0;
-        }
+            // Validation copies from here:
+            // https://github.com/ggerganov/llama.cpp/blob/e59fcb2bc129881f4a269fee748fb38bce0a64de/llama.cpp#L2960
 
-        private static string FtypeToString(LLamaFtype ftype)
-        {
-            return ftype switch
+            switch (ftype)
             {
-                LLamaFtype.LLAMA_FTYPE_MOSTLY_Q4_0 => "q4_0",
-                LLamaFtype.LLAMA_FTYPE_MOSTLY_Q4_1 => "q4_1",
-                LLamaFtype.LLAMA_FTYPE_MOSTLY_Q5_0 => "q5_0",
-                LLamaFtype.LLAMA_FTYPE_MOSTLY_Q5_1 => "q5_1",
-                LLamaFtype.LLAMA_FTYPE_MOSTLY_Q8_0 => "q8_0",
-                _ => throw new ArgumentException($"The type {Enum.GetName(typeof(LLamaFtype), ftype)} is not a valid type " +
-                    $"to perform quantization.")
-            };
+                case LLamaFtype.LLAMA_FTYPE_MOSTLY_Q4_0:
+                case LLamaFtype.LLAMA_FTYPE_MOSTLY_Q4_1:
+                case LLamaFtype.LLAMA_FTYPE_MOSTLY_Q5_0:
+                case LLamaFtype.LLAMA_FTYPE_MOSTLY_Q5_1:
+                case LLamaFtype.LLAMA_FTYPE_MOSTLY_Q8_0:
+                case LLamaFtype.LLAMA_FTYPE_MOSTLY_F16:
+                case LLamaFtype.LLAMA_FTYPE_ALL_F32:
+                case LLamaFtype.LLAMA_FTYPE_MOSTLY_Q2_K:
+                case LLamaFtype.LLAMA_FTYPE_MOSTLY_Q3_K_S:
+                case LLamaFtype.LLAMA_FTYPE_MOSTLY_Q3_K_M:
+                case LLamaFtype.LLAMA_FTYPE_MOSTLY_Q3_K_L:
+                case LLamaFtype.LLAMA_FTYPE_MOSTLY_Q4_K_S:
+                case LLamaFtype.LLAMA_FTYPE_MOSTLY_Q4_K_M:
+                case LLamaFtype.LLAMA_FTYPE_MOSTLY_Q5_K_S:
+                case LLamaFtype.LLAMA_FTYPE_MOSTLY_Q5_K_M:
+                case LLamaFtype.LLAMA_FTYPE_MOSTLY_Q6_K:
+                    return true;
+
+                case LLamaFtype.LLAMA_FTYPE_MOSTLY_Q4_1_SOME_F16:
+                default:
+                    return false;
+            }
         }
 
+        /// <summary>
+        /// Parse a string into a LLamaFtype. This is a "relaxed" parsing, which allows any string which is contained within
+        /// the enum name to be used.
+        ///
+        /// For example "Q5_K_M" will convert to "LLAMA_FTYPE_MOSTLY_Q5_K_M"
+        /// </summary>
+        /// <param name="str"></param>
+        /// <returns></returns>
+        /// <exception cref="ArgumentException"></exception>
         private static LLamaFtype StringToFtype(string str)
         {
-            return str switch
+            // Find all variants which contain the input string
+            var matches = new List<LLamaFtype>();
+            foreach (LLamaFtype ftype in Enum.GetValues(typeof(LLamaFtype)))
             {
-                "q4_0" => LLamaFtype.LLAMA_FTYPE_MOSTLY_Q4_0,
-                "q4_1" => LLamaFtype.LLAMA_FTYPE_MOSTLY_Q4_1,
-                "q5_0" => LLamaFtype.LLAMA_FTYPE_MOSTLY_Q5_0,
-                "q5_1" => LLamaFtype.LLAMA_FTYPE_MOSTLY_Q5_1,
-                "q8_0" => LLamaFtype.LLAMA_FTYPE_MOSTLY_Q8_0,
-                _ => throw new ArgumentException($"Invalid ftype {str} to quantize.")
-            };
+                var name = Enum.GetName(typeof(LLamaFtype), ftype);
+                
+                // Note: this is using "IndexOf" instead of "Contains" to be compatible with netstandard2.0
+#pragma warning disable CA2249
+                if (name != null && name.IndexOf(str, StringComparison.OrdinalIgnoreCase) >= 0)
+                    matches.Add(ftype);
+#pragma warning restore CA2249
+            }
+
+            // If there was just one match, success!
+            if (matches.Count == 1)
+                return matches[0];
+
+            // If none matched throw a generic error
+            if (matches.Count == 0)
+                throw new ArgumentException($"Unknown ftype \"{str}\" for quantization.");
+
+            // There were several matches, throw an error asking the user to be more specific
+            throw new ArgumentException($"\"{str}\" matches multiple potential ftypes: {string.Join(",", matches)}");
         }
     }
 }
diff --git a/LLama/Native/LLamaFtype.cs b/LLama/Native/LLamaFtype.cs
index 41159ee2..79fdf854 100644
--- a/LLama/Native/LLamaFtype.cs
+++ b/LLama/Native/LLamaFtype.cs
@@ -1,29 +1,109 @@
-using System;
-using System.Collections.Generic;
-using System.Text;
-
-namespace LLama.Native
+namespace LLama.Native
 {
+    /// <summary>
+    /// Supported model file types
+    /// </summary>
     public enum LLamaFtype
     {
+        /// <summary>
+        /// All f32
+        /// </summary>
+        /// <remarks>Benchmark@7B: 26GB</remarks>
         LLAMA_FTYPE_ALL_F32 = 0,
-        LLAMA_FTYPE_MOSTLY_F16 = 1,  // except 1d tensors
-        LLAMA_FTYPE_MOSTLY_Q4_0 = 2,  // except 1d tensors
-        LLAMA_FTYPE_MOSTLY_Q4_1 = 3,  // except 1d tensors
-        LLAMA_FTYPE_MOSTLY_Q4_1_SOME_F16 = 4, // tok_embeddings.weight and output.weight are F16
-        // LLAMA_FTYPE_MOSTLY_Q4_2 = 5,  // support has been removed
-        // LLAMA_FTYPE_MOSTLY_Q4_3 (6) support has been removed
-        LLAMA_FTYPE_MOSTLY_Q8_0 = 7,  // except 1d tensors
-        LLAMA_FTYPE_MOSTLY_Q5_0 = 8,  // except 1d tensors
-        LLAMA_FTYPE_MOSTLY_Q5_1 = 9,  // except 1d tensors
-        LLAMA_FTYPE_MOSTLY_Q2_K = 10,// except 1d tensors
-        LLAMA_FTYPE_MOSTLY_Q3_K_S = 11,// except 1d tensors
-        LLAMA_FTYPE_MOSTLY_Q3_K_M = 12,// except 1d tensors
-        LLAMA_FTYPE_MOSTLY_Q3_K_L = 13,// except 1d tensors
-        LLAMA_FTYPE_MOSTLY_Q4_K_S = 14,// except 1d tensors
-        LLAMA_FTYPE_MOSTLY_Q4_K_M = 15,// except 1d tensors
-        LLAMA_FTYPE_MOSTLY_Q5_K_S = 16,// except 1d tensors
-        LLAMA_FTYPE_MOSTLY_Q5_K_M = 17,// except 1d tensors
-        LLAMA_FTYPE_MOSTLY_Q6_K = 18,// except 1d tensors
+
+        /// <summary>
+        /// Mostly f16
+        /// </summary>
+        /// <remarks>Benchmark@7B: 13GB</remarks>
+        LLAMA_FTYPE_MOSTLY_F16 = 1,
+
+        /// <summary>
+        /// Mostly 8 bit
+        /// </summary>
+        /// <remarks>Benchmark@7B: 6.7GB, +0.0004ppl</remarks>
+        LLAMA_FTYPE_MOSTLY_Q8_0 = 7,
+
+        /// <summary>
+        /// Mostly 4 bit
+        /// </summary>
+        /// <remarks>Benchmark@7B: 3.50GB, +0.2499 ppl</remarks>
+        LLAMA_FTYPE_MOSTLY_Q4_0 = 2,
+
+        /// <summary>
+        /// Mostly 4 bit
+        /// </summary>
+        /// <remarks>Benchmark@7B: 3.90GB, +0.1846 ppl</remarks>
+        LLAMA_FTYPE_MOSTLY_Q4_1 = 3,
+
+        /// <summary>
+        /// Mostly 4 bit, tok_embeddings.weight and output.weight are f16
+        /// </summary>
+        LLAMA_FTYPE_MOSTLY_Q4_1_SOME_F16 = 4,
+
+        /// <summary>
+        /// Mostly 5 bit
+        /// </summary>
+        /// <remarks>Benchmark@7B: 4.30GB @ 7B tokens, +0.0796 ppl</remarks>
+        LLAMA_FTYPE_MOSTLY_Q5_0 = 8,
+
+        /// <summary>
+        /// Mostly 5 bit
+        /// </summary>
+        /// <remarks>Benchmark@7B: 4.70GB, +0.0415 ppl</remarks>
+        LLAMA_FTYPE_MOSTLY_Q5_1 = 9,
+
+        /// <summary>
+        /// K-Quant 2 bit
+        /// </summary>
+        /// <remarks>Benchmark@7B: 2.67GB @ 7N parameters, +0.8698 ppl</remarks>
+        LLAMA_FTYPE_MOSTLY_Q2_K = 10,
+
+        /// <summary>
+        /// K-Quant 3 bit (Small)
+        /// </summary>
+        /// <remarks>Benchmark@7B: 2.75GB, +0.5505 ppl</remarks>
+        LLAMA_FTYPE_MOSTLY_Q3_K_S = 11,
+
+        /// <summary>
+        /// K-Quant 3 bit (Medium)
+        /// </summary>
+        /// <remarks>Benchmark@7B: 3.06GB, +0.2437 ppl</remarks>
+        LLAMA_FTYPE_MOSTLY_Q3_K_M = 12,
+
+        /// <summary>
+        /// K-Quant 3 bit (Large)
+        /// </summary>
+        /// <remarks>Benchmark@7B: 3.35GB, +0.1803 ppl</remarks>
+        LLAMA_FTYPE_MOSTLY_Q3_K_L = 13,
+
+        /// <summary>
+        /// K-Quant 4 bit (Small)
+        /// </summary>
+        /// <remarks>Benchmark@7B: 3.56GB, +0.1149 ppl</remarks>
+        LLAMA_FTYPE_MOSTLY_Q4_K_S = 14,
+
+        /// <summary>
+        /// K-Quant 4 bit (Medium)
+        /// </summary>
+        /// <remarks>Benchmark@7B: 3.80GB, +0.0535 ppl</remarks>
+        LLAMA_FTYPE_MOSTLY_Q4_K_M = 15,
+
+        /// <summary>
+        /// K-Quant 5 bit (Small)
+        /// </summary>
+        /// <remarks>Benchmark@7B: 4.33GB, +0.0353 ppl</remarks>
+        LLAMA_FTYPE_MOSTLY_Q5_K_S = 16,
+
+        /// <summary>
+        /// K-Quant 5 bit (Medium)
+        /// </summary>
+        /// <remarks>Benchmark@7B: 4.45GB, +0.0142 ppl</remarks>
+        LLAMA_FTYPE_MOSTLY_Q5_K_M = 17,
+
+        /// <summary>
+        /// K-Quant 6 bit
+        /// </summary>
+        /// <remarks>Benchmark@7B: 5.15GB, +0.0044 ppl</remarks>
+        LLAMA_FTYPE_MOSTLY_Q6_K = 18,
     }
 }
diff --git a/LLama/Native/LLamaModelQuantizeParams.cs b/LLama/Native/LLamaModelQuantizeParams.cs
index 17ec035a..f23c1d2e 100644
--- a/LLama/Native/LLamaModelQuantizeParams.cs
+++ b/LLama/Native/LLamaModelQuantizeParams.cs
@@ -1,25 +1,28 @@
-using System;
-using System.Collections.Generic;
-using System.Runtime.InteropServices;
-using System.Text;
+using System.Runtime.InteropServices;
 
 namespace LLama.Native
 {
+    /// <summary>
+    /// Quantizer parameters used in the native API
+    /// </summary>
     public struct LLamaModelQuantizeParams
     {
         /// <summary>
         /// number of threads to use for quantizing, if &lt;=0 will use std::thread::hardware_concurrency()
         /// </summary>
         public int nthread;
+
         /// <summary>
         /// quantize to this llama_ftype
         /// </summary>
         public LLamaFtype ftype;
+
         /// <summary>
         /// allow quantizing non-f32/f16 tensors
         /// </summary>
         [MarshalAs(UnmanagedType.I1)]
         public bool allow_requantize;
+
         /// <summary>
         /// quantize output.weight
         /// </summary>