Upload folder using huggingface_hub

.gitattributes

@@ -33,3 +33,15 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+llama3-ko-8b-hkcode-Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
+llama3-ko-8b-hkcode-Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
+llama3-ko-8b-hkcode-Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+llama3-ko-8b-hkcode-Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+llama3-ko-8b-hkcode-Q4_0.gguf filter=lfs diff=lfs merge=lfs -text
+llama3-ko-8b-hkcode-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+llama3-ko-8b-hkcode-Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+llama3-ko-8b-hkcode-Q5_0.gguf filter=lfs diff=lfs merge=lfs -text
+llama3-ko-8b-hkcode-Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+llama3-ko-8b-hkcode-Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+llama3-ko-8b-hkcode-Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
+llama3-ko-8b-hkcode-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,122 @@
+---
+license: mit
+language:
+- ko
+library_name: transformers
+pipeline_tag: text-generation
+tags:
+- fintech
+- llama3
+- TensorBlock
+- GGUF
+base_model: hyokwan/llama3-ko-8b-hkcode
+---
+
+<div style="width: auto; margin-left: auto; margin-right: auto">
+<img src="https://i.imgur.com/jC7kdl8.jpeg" alt="TensorBlock" style="width: 100%; min-width: 400px; display: block; margin: auto;">
+</div>
+<div style="display: flex; justify-content: space-between; width: 100%;">
+    <div style="display: flex; flex-direction: column; align-items: flex-start;">
+        <p style="margin-top: 0.5em; margin-bottom: 0em;">
+            Feedback and support: TensorBlock's  <a href="https://x.com/tensorblock_aoi">Twitter/X</a>, <a href="https://t.me/TensorBlock">Telegram Group</a> and <a href="https://x.com/tensorblock_aoi">Discord server</a>
+        </p>
+    </div>
+</div>
+
+## hyokwan/llama3-ko-8b-hkcode - GGUF
+
+This repo contains GGUF format model files for [hyokwan/llama3-ko-8b-hkcode](https://huggingface.co/hyokwan/llama3-ko-8b-hkcode).
+
+The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b5165](https://github.com/ggml-org/llama.cpp/commit/1d735c0b4fa0551c51c2f4ac888dd9a01f447985).
+
+## Our projects
+<table border="1" cellspacing="0" cellpadding="10">
+<tr>
+  <th style="font-size: 25px;">Awesome MCP Servers</th>
+  <th style="font-size: 25px;">TensorBlock Studio</th>
+</tr>
+  <tr>
+    <th><img src="https://imgur.com/2Xov7B7.jpeg" alt="Project A" width="450"/></th>
+    <th><img src="https://imgur.com/pJcmF5u.jpeg" alt="Project B" width="450"/></th>
+  </tr>
+  <tr>
+    <th>A comprehensive collection of Model Context Protocol (MCP) servers.</th>
+    <th>A lightweight, open, and extensible multi-LLM interaction studio.</th>
+  </tr>
+<tr>
+  <th>
+    <a href="https://github.com/TensorBlock/awesome-mcp-servers" target="_blank" style="
+      display: inline-block;
+      padding: 8px 16px;
+      background-color: #FF7F50;
+      color: white;
+      text-decoration: none;
+      border-radius: 6px;
+      font-weight: bold;
+      font-family: sans-serif;
+    ">👀 See what we built 👀</a>
+  </th>
+  <th>
+    <a href="https://github.com/TensorBlock/TensorBlock-Studio" target="_blank" style="
+      display: inline-block;
+      padding: 8px 16px;
+      background-color: #FF7F50;
+      color: white;
+      text-decoration: none;
+      border-radius: 6px;
+      font-weight: bold;
+      font-family: sans-serif;
+    ">👀 See what we built 👀</a>
+  </th>
+</tr>
+</table>
+
+## Prompt template
+
+```
+<|begin_of_text|><|start_header_id|>system<|end_header_id|>
+
+{system_prompt}<|eot_id|><|start_header_id|>user<|end_header_id|>
+
+{prompt}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
+```
+
+## Model file specification
+
+| Filename | Quant type | File Size | Description |
+| -------- | ---------- | --------- | ----------- |
+| [llama3-ko-8b-hkcode-Q2_K.gguf](https://huggingface.co/tensorblock/hyokwan_llama3-ko-8b-hkcode-GGUF/blob/main/llama3-ko-8b-hkcode-Q2_K.gguf) | Q2_K | 3.179 GB | smallest, significant quality loss - not recommended for most purposes |
+| [llama3-ko-8b-hkcode-Q3_K_S.gguf](https://huggingface.co/tensorblock/hyokwan_llama3-ko-8b-hkcode-GGUF/blob/main/llama3-ko-8b-hkcode-Q3_K_S.gguf) | Q3_K_S | 3.664 GB | very small, high quality loss |
+| [llama3-ko-8b-hkcode-Q3_K_M.gguf](https://huggingface.co/tensorblock/hyokwan_llama3-ko-8b-hkcode-GGUF/blob/main/llama3-ko-8b-hkcode-Q3_K_M.gguf) | Q3_K_M | 4.019 GB | very small, high quality loss |
+| [llama3-ko-8b-hkcode-Q3_K_L.gguf](https://huggingface.co/tensorblock/hyokwan_llama3-ko-8b-hkcode-GGUF/blob/main/llama3-ko-8b-hkcode-Q3_K_L.gguf) | Q3_K_L | 4.322 GB | small, substantial quality loss |
+| [llama3-ko-8b-hkcode-Q4_0.gguf](https://huggingface.co/tensorblock/hyokwan_llama3-ko-8b-hkcode-GGUF/blob/main/llama3-ko-8b-hkcode-Q4_0.gguf) | Q4_0 | 4.661 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
+| [llama3-ko-8b-hkcode-Q4_K_S.gguf](https://huggingface.co/tensorblock/hyokwan_llama3-ko-8b-hkcode-GGUF/blob/main/llama3-ko-8b-hkcode-Q4_K_S.gguf) | Q4_K_S | 4.693 GB | small, greater quality loss |
+| [llama3-ko-8b-hkcode-Q4_K_M.gguf](https://huggingface.co/tensorblock/hyokwan_llama3-ko-8b-hkcode-GGUF/blob/main/llama3-ko-8b-hkcode-Q4_K_M.gguf) | Q4_K_M | 4.921 GB | medium, balanced quality - recommended |
+| [llama3-ko-8b-hkcode-Q5_0.gguf](https://huggingface.co/tensorblock/hyokwan_llama3-ko-8b-hkcode-GGUF/blob/main/llama3-ko-8b-hkcode-Q5_0.gguf) | Q5_0 | 5.599 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
+| [llama3-ko-8b-hkcode-Q5_K_S.gguf](https://huggingface.co/tensorblock/hyokwan_llama3-ko-8b-hkcode-GGUF/blob/main/llama3-ko-8b-hkcode-Q5_K_S.gguf) | Q5_K_S | 5.599 GB | large, low quality loss - recommended |
+| [llama3-ko-8b-hkcode-Q5_K_M.gguf](https://huggingface.co/tensorblock/hyokwan_llama3-ko-8b-hkcode-GGUF/blob/main/llama3-ko-8b-hkcode-Q5_K_M.gguf) | Q5_K_M | 5.733 GB | large, very low quality loss - recommended |
+| [llama3-ko-8b-hkcode-Q6_K.gguf](https://huggingface.co/tensorblock/hyokwan_llama3-ko-8b-hkcode-GGUF/blob/main/llama3-ko-8b-hkcode-Q6_K.gguf) | Q6_K | 6.596 GB | very large, extremely low quality loss |
+| [llama3-ko-8b-hkcode-Q8_0.gguf](https://huggingface.co/tensorblock/hyokwan_llama3-ko-8b-hkcode-GGUF/blob/main/llama3-ko-8b-hkcode-Q8_0.gguf) | Q8_0 | 8.541 GB | very large, extremely low quality loss - not recommended |
+
+
+## Downloading instruction
+
+### Command line
+
+Firstly, install Huggingface Client
+
+```shell
+pip install -U "huggingface_hub[cli]"
+```
+
+Then, downoad the individual model file the a local directory
+
+```shell
+huggingface-cli download tensorblock/hyokwan_llama3-ko-8b-hkcode-GGUF --include "llama3-ko-8b-hkcode-Q2_K.gguf" --local-dir MY_LOCAL_DIR
+```
+
+If you wanna download multiple model files with a pattern (e.g., `*Q4_K*gguf`), you can try:
+
+```shell
+huggingface-cli download tensorblock/hyokwan_llama3-ko-8b-hkcode-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
+```

llama3-ko-8b-hkcode-Q2_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:17433e872c3578884e481b52344387d4bd0b6046d4f91517b136bf2229314bf0
+size 3179131616

llama3-ko-8b-hkcode-Q3_K_L.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3777423d099ffaf060d0f77eb38dd2eeec4e4c63340394519c51a8b462e0e7b6
+size 4321956576

llama3-ko-8b-hkcode-Q3_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:01fff74cea7b14a3e6d31e825461dd4684b0c158bdddd939e9bff7e45e02a27e
+size 4018918112

llama3-ko-8b-hkcode-Q3_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e15eb62dfa4fe095b57595a341624002b532a3b658662b9f02d62203cc95aeaa
+size 3664499424

llama3-ko-8b-hkcode-Q4_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a396076adaaf37a8cdc2cc6b1c52ab36131b31e100e90c86082339a7d2d60a1e
+size 4661211872

llama3-ko-8b-hkcode-Q4_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d942df6ee2575c2da6e5fe51f15947798a80b83ea1cf48bd1557cd19a1bcb087
+size 4920734432

llama3-ko-8b-hkcode-Q4_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:65316143ef505ed85e46ddd559a1768253cbba217a7be36166c578a6345b4848
+size 4692669152

llama3-ko-8b-hkcode-Q5_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6917d35aa178f587dc21d0a43abc2e1010fa0064c42964b08e583c5b6f3ae02c
+size 5599294176

llama3-ko-8b-hkcode-Q5_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e4fa7fd2f1cd9ff99aa2930d0890699568a4f8c0656a51443541b7016df49812
+size 5732987616

llama3-ko-8b-hkcode-Q5_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cb9b3829b3925907c0de74b57fd3c545ffa282779e9040d383dc41b755c65128
+size 5599294176

llama3-ko-8b-hkcode-Q6_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8888a7d3cd4657a923d727f56d5c7a6728ef9f15ead6c80dc963341f2c2f7fe3
+size 6596006624

llama3-ko-8b-hkcode-Q8_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2d05109522793e12de2ed4d98e9cf6ffe37b8945a6cd816d317a1482ab6379ba
+size 8540771040