Upload README.md

README.md

@@ -34,14 +34,14 @@ Run them in [LM Studio](https://lmstudio.ai/)
 | -------- | ---------- | --------- | ----- | --------------- | ----------- |
 | [gemma-2-2b-jpn-it.f16.gguf](https://huggingface.co/ymcki/gemma-2-2b-jpn-it-GGUF/blob/main/gemma-2-2b-jpn-it.f16.gguf) | f16 | 5.24GB | false | Full F16 weights. |
 | [gemma-2-2b-jpn-it.Q8_0.gguf](https://huggingface.co/ymcki/gemma-2-2b-jpn-it-GGUF/blob/main/gemma-2-2b-jpn-it.Q8_0.gguf) | Q8_0 | 2.78GB | false | Extremely high quality, *recommended*. |
-| [gemma-2-2b-jpn-it-imatrix.Q4_0.gguf](https://huggingface.co/ymcki/gemma-2-2b-jpn-it-GGUF/blob/main/gemma-2-2b-jpn-it-imatrix.Q4_0.gguf) | Q4_0 | 2.78GB | false | Good quality, *recommended for edge device <8GB RAM*. |
-| [gemma-2-2b-jpn-it-imatrix.Q4_0_8_8.gguf](https://huggingface.co/ymcki/gemma-2-2b-jpn-it-GGUF/blob/main/gemma-2-2b-jpn-it-imatrix.Q4_0_8_8.gguf) | Q4_0_8_8 | 2.78GB | false | Good quality, *recommended for edge device <8GB RAM*. |
-| [gemma-2-2b-jpn-it-imatrix.Q4_0_4_8.gguf](https://huggingface.co/ymcki/gemma-2-2b-jpn-it-GGUF/blob/main/gemma-2-2b-jpn-it-imatrix.Q4_0_4_8.gguf) | Q4_0_4_8 | 2.78GB | false | Good quality, *recommended for edge device <8GB RAM*. |
-| [gemma-2-2b-jpn-it-imatrix.Q4_0_4_4.gguf](https://huggingface.co/ymcki/gemma-2-2b-jpn-it-GGUF/blob/main/gemma-2-2b-jpn-it-imatrix.Q4_0_4_4.gguf) | Q4_0_4_4 | 2.78GB | false | Good quality, *recommended for edge device <8GB RAM*. |
-| [gemma-2-2b-jpn-it.Q4_0.gguf](https://huggingface.co/ymcki/gemma-2-2b-jpn-it-GGUF/blob/main/gemma-2-2b-jpn-it.Q4_0.gguf) | Q4_0 | 2.78GB | false | Poor quality, *not recommended*. |
-| [gemma-2-2b-jpn-it.Q4_0_8_8.gguf](https://huggingface.co/ymcki/gemma-2-2b-jpn-it-GGUF/blob/main/gemma-2-2b-jpn-it.Q4_0_8_8.gguf) | Q4_0_8_8 | 2.78GB | false | Poor quality, *not recommended*. |
-| [gemma-2-2b-jpn-it.Q4_0_4_8.gguf](https://huggingface.co/ymcki/gemma-2-2b-jpn-it-GGUF/blob/main/gemma-2-2b-jpn-it.Q4_0_4_8.gguf) | Q4_0_4_8 | 2.78GB | false | Poor quality, *not recommended*. |
-| [gemma-2-2b-jpn-it.Q4_0_4_4.gguf](https://huggingface.co/ymcki/gemma-2-2b-jpn-it-GGUF/blob/main/gemma-2-2b-jpn-it.Q4_0_4_4.gguf) | Q4_0_4_4 | 2.78GB | false | Poor quality, *not recommended*. |
+| [gemma-2-2b-jpn-it-imatrix.Q4_0.gguf](https://huggingface.co/ymcki/gemma-2-2b-jpn-it-GGUF/blob/main/gemma-2-2b-jpn-it-imatrix.Q4_0.gguf) | Q4_0 | 1.63GB | false | Good quality, *recommended for edge device <8GB RAM*. |
+| [gemma-2-2b-jpn-it-imatrix.Q4_0_8_8.gguf](https://huggingface.co/ymcki/gemma-2-2b-jpn-it-GGUF/blob/main/gemma-2-2b-jpn-it-imatrix.Q4_0_8_8.gguf) | Q4_0_8_8 | 1.63GB | false | Good quality, *recommended for edge device <8GB RAM*. |
+| [gemma-2-2b-jpn-it-imatrix.Q4_0_4_8.gguf](https://huggingface.co/ymcki/gemma-2-2b-jpn-it-GGUF/blob/main/gemma-2-2b-jpn-it-imatrix.Q4_0_4_8.gguf) | Q4_0_4_8 | 1.63GB | false | Good quality, *recommended for edge device <8GB RAM*. |
+| [gemma-2-2b-jpn-it-imatrix.Q4_0_4_4.gguf](https://huggingface.co/ymcki/gemma-2-2b-jpn-it-GGUF/blob/main/gemma-2-2b-jpn-it-imatrix.Q4_0_4_4.gguf) | Q4_0_4_4 | 1.63GB | false | Good quality, *recommended for edge device <8GB RAM*. |
+| [gemma-2-2b-jpn-it.Q4_0.gguf](https://huggingface.co/ymcki/gemma-2-2b-jpn-it-GGUF/blob/main/gemma-2-2b-jpn-it.Q4_0.gguf) | Q4_0 | 1.63GB | false | Poor quality, *not recommended*. |
+| [gemma-2-2b-jpn-it.Q4_0_8_8.gguf](https://huggingface.co/ymcki/gemma-2-2b-jpn-it-GGUF/blob/main/gemma-2-2b-jpn-it.Q4_0_8_8.gguf) | Q4_0_8_8 | 1.63GB | false | Poor quality, *not recommended*. |
+| [gemma-2-2b-jpn-it.Q4_0_4_8.gguf](https://huggingface.co/ymcki/gemma-2-2b-jpn-it-GGUF/blob/main/gemma-2-2b-jpn-it.Q4_0_4_8.gguf) | Q4_0_4_8 | 1.63GB | false | Poor quality, *not recommended*. |
+| [gemma-2-2b-jpn-it.Q4_0_4_4.gguf](https://huggingface.co/ymcki/gemma-2-2b-jpn-it-GGUF/blob/main/gemma-2-2b-jpn-it.Q4_0_4_4.gguf) | Q4_0_4_4 | 1.63GB | false | Poor quality, *not recommended*. |
 
 ## How to check i8mm and sve support for ARM devices
 
@@ -67,8 +67,8 @@ There are also android apps that can display /proc/cpuinfo.
 ## Which Q4_0 model to use for ARM devices
 | Brand | Series | Model | i8mm | sve | Quant Type |
 | ----- | ------ | ----- | ---- | --- | -----------|
-| Qualcomm｜Snapdragon | >= 7 Gen 1 | Yes | Yes | Q4_0_8_8 |
-| Qualcomm｜Snapdragon | others | No | No | Q4_0_4_4 |
+| Qualcomm ｜Snapdragon | >= 7 Gen 1 | Yes | Yes | Q4_0_8_8 |
+| Qualcomm ｜Snapdragon | others | No | No | Q4_0_4_4 |
 | Apple | M | M1 | No | No | Q4_0_4_4 |
 | Apple | M | M2/M3/M4 | Yes | No | Q4_0_4_8 |
 | Apple | A | A4 to A14 | No | No | Q4_0_4_4 |