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README.md

@@ -1,19 +1,14 @@
 ---
-license: gemma
 library_name: transformers
+license: llama3
+language:
+- ko
+- en
 pipeline_tag: text-generation
-extra_gated_heading: Access Gemma on Hugging Face
-extra_gated_prompt: To access Gemma on Hugging Face, you’re required to review and
-  agree to Google’s usage license. To do this, please ensure you’re logged in to Hugging
-  Face and click below. Requests are processed immediately.
-extra_gated_button_content: Acknowledge license
+base_model: davidkim205/ko-gemma-2-9b-it
 tags:
-- conversational
 - TensorBlock
 - GGUF
-base_model: rtzr/ko-gemma-2-9b-it
-language:
-- ko
 ---
 
 <div style="width: auto; margin-left: auto; margin-right: auto">
@@ -27,13 +22,12 @@ language:
     </div>
 </div>
 
-## rtzr/ko-gemma-2-9b-it - GGUF
+## davidkim205/ko-gemma-2-9b-it - GGUF
 
-This repo contains GGUF format model files for [rtzr/ko-gemma-2-9b-it](https://huggingface.co/rtzr/ko-gemma-2-9b-it).
+This repo contains GGUF format model files for [davidkim205/ko-gemma-2-9b-it](https://huggingface.co/davidkim205/ko-gemma-2-9b-it).
 
 The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b4011](https://github.com/ggerganov/llama.cpp/commit/a6744e43e80f4be6398fc7733a01642c846dce1d).
 
-
 <div style="text-align: left; margin: 20px 0;">
     <a href="https://tensorblock.co/waitlist/client" style="display: inline-block; padding: 10px 20px; background-color: #007bff; color: white; text-decoration: none; border-radius: 5px; font-weight: bold;">
         Run them on the TensorBlock client using your local machine ↗
@@ -42,7 +36,6 @@ The files were quantized using machines provided by [TensorBlock](https://tensor
 
 ## Prompt template
 
-
 ```
 <bos>{system_prompt}<start_of_turn>user
 {prompt}<end_of_turn>
@@ -53,18 +46,18 @@ The files were quantized using machines provided by [TensorBlock](https://tensor
 
 | Filename | Quant type | File Size | Description |
 | -------- | ---------- | --------- | ----------- |
-| [ko-gemma-2-9b-it-Q2_K.gguf](https://huggingface.co/tensorblock/ko-gemma-2-9b-it-GGUF/blob/main/ko-gemma-2-9b-it-Q2_K.gguf) | Q2_K | 3.544 GB | smallest, significant quality loss - not recommended for most purposes |
-| [ko-gemma-2-9b-it-Q3_K_S.gguf](https://huggingface.co/tensorblock/ko-gemma-2-9b-it-GGUF/blob/main/ko-gemma-2-9b-it-Q3_K_S.gguf) | Q3_K_S | 4.040 GB | very small, high quality loss |
-| [ko-gemma-2-9b-it-Q3_K_M.gguf](https://huggingface.co/tensorblock/ko-gemma-2-9b-it-GGUF/blob/main/ko-gemma-2-9b-it-Q3_K_M.gguf) | Q3_K_M | 4.435 GB | very small, high quality loss |
-| [ko-gemma-2-9b-it-Q3_K_L.gguf](https://huggingface.co/tensorblock/ko-gemma-2-9b-it-GGUF/blob/main/ko-gemma-2-9b-it-Q3_K_L.gguf) | Q3_K_L | 4.780 GB | small, substantial quality loss |
-| [ko-gemma-2-9b-it-Q4_0.gguf](https://huggingface.co/tensorblock/ko-gemma-2-9b-it-GGUF/blob/main/ko-gemma-2-9b-it-Q4_0.gguf) | Q4_0 | 5.069 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
-| [ko-gemma-2-9b-it-Q4_K_S.gguf](https://huggingface.co/tensorblock/ko-gemma-2-9b-it-GGUF/blob/main/ko-gemma-2-9b-it-Q4_K_S.gguf) | Q4_K_S | 5.103 GB | small, greater quality loss |
-| [ko-gemma-2-9b-it-Q4_K_M.gguf](https://huggingface.co/tensorblock/ko-gemma-2-9b-it-GGUF/blob/main/ko-gemma-2-9b-it-Q4_K_M.gguf) | Q4_K_M | 5.365 GB | medium, balanced quality - recommended |
-| [ko-gemma-2-9b-it-Q5_0.gguf](https://huggingface.co/tensorblock/ko-gemma-2-9b-it-GGUF/blob/main/ko-gemma-2-9b-it-Q5_0.gguf) | Q5_0 | 6.038 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
-| [ko-gemma-2-9b-it-Q5_K_S.gguf](https://huggingface.co/tensorblock/ko-gemma-2-9b-it-GGUF/blob/main/ko-gemma-2-9b-it-Q5_K_S.gguf) | Q5_K_S | 6.038 GB | large, low quality loss - recommended |
-| [ko-gemma-2-9b-it-Q5_K_M.gguf](https://huggingface.co/tensorblock/ko-gemma-2-9b-it-GGUF/blob/main/ko-gemma-2-9b-it-Q5_K_M.gguf) | Q5_K_M | 6.191 GB | large, very low quality loss - recommended |
-| [ko-gemma-2-9b-it-Q6_K.gguf](https://huggingface.co/tensorblock/ko-gemma-2-9b-it-GGUF/blob/main/ko-gemma-2-9b-it-Q6_K.gguf) | Q6_K | 7.068 GB | very large, extremely low quality loss |
-| [ko-gemma-2-9b-it-Q8_0.gguf](https://huggingface.co/tensorblock/ko-gemma-2-9b-it-GGUF/blob/main/ko-gemma-2-9b-it-Q8_0.gguf) | Q8_0 | 9.152 GB | very large, extremely low quality loss - not recommended |
+| [ko-gemma-2-9b-it-Q2_K.gguf](https://huggingface.co/tensorblock/ko-gemma-2-9b-it-GGUF/blob/main/ko-gemma-2-9b-it-Q2_K.gguf) | Q2_K | 3.805 GB | smallest, significant quality loss - not recommended for most purposes |
+| [ko-gemma-2-9b-it-Q3_K_S.gguf](https://huggingface.co/tensorblock/ko-gemma-2-9b-it-GGUF/blob/main/ko-gemma-2-9b-it-Q3_K_S.gguf) | Q3_K_S | 4.338 GB | very small, high quality loss |
+| [ko-gemma-2-9b-it-Q3_K_M.gguf](https://huggingface.co/tensorblock/ko-gemma-2-9b-it-GGUF/blob/main/ko-gemma-2-9b-it-Q3_K_M.gguf) | Q3_K_M | 4.762 GB | very small, high quality loss |
+| [ko-gemma-2-9b-it-Q3_K_L.gguf](https://huggingface.co/tensorblock/ko-gemma-2-9b-it-GGUF/blob/main/ko-gemma-2-9b-it-Q3_K_L.gguf) | Q3_K_L | 5.132 GB | small, substantial quality loss |
+| [ko-gemma-2-9b-it-Q4_0.gguf](https://huggingface.co/tensorblock/ko-gemma-2-9b-it-GGUF/blob/main/ko-gemma-2-9b-it-Q4_0.gguf) | Q4_0 | 5.443 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
+| [ko-gemma-2-9b-it-Q4_K_S.gguf](https://huggingface.co/tensorblock/ko-gemma-2-9b-it-GGUF/blob/main/ko-gemma-2-9b-it-Q4_K_S.gguf) | Q4_K_S | 5.479 GB | small, greater quality loss |
+| [ko-gemma-2-9b-it-Q4_K_M.gguf](https://huggingface.co/tensorblock/ko-gemma-2-9b-it-GGUF/blob/main/ko-gemma-2-9b-it-Q4_K_M.gguf) | Q4_K_M | 5.761 GB | medium, balanced quality - recommended |
+| [ko-gemma-2-9b-it-Q5_0.gguf](https://huggingface.co/tensorblock/ko-gemma-2-9b-it-GGUF/blob/main/ko-gemma-2-9b-it-Q5_0.gguf) | Q5_0 | 6.484 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
+| [ko-gemma-2-9b-it-Q5_K_S.gguf](https://huggingface.co/tensorblock/ko-gemma-2-9b-it-GGUF/blob/main/ko-gemma-2-9b-it-Q5_K_S.gguf) | Q5_K_S | 6.484 GB | large, low quality loss - recommended |
+| [ko-gemma-2-9b-it-Q5_K_M.gguf](https://huggingface.co/tensorblock/ko-gemma-2-9b-it-GGUF/blob/main/ko-gemma-2-9b-it-Q5_K_M.gguf) | Q5_K_M | 6.647 GB | large, very low quality loss - recommended |
+| [ko-gemma-2-9b-it-Q6_K.gguf](https://huggingface.co/tensorblock/ko-gemma-2-9b-it-GGUF/blob/main/ko-gemma-2-9b-it-Q6_K.gguf) | Q6_K | 7.589 GB | very large, extremely low quality loss |
+| [ko-gemma-2-9b-it-Q8_0.gguf](https://huggingface.co/tensorblock/ko-gemma-2-9b-it-GGUF/blob/main/ko-gemma-2-9b-it-Q8_0.gguf) | Q8_0 | 9.827 GB | very large, extremely low quality loss - not recommended |
 
 
 ## Downloading instruction

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