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
+gemma-2-Ifable-9B-Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
+gemma-2-Ifable-9B-Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
+gemma-2-Ifable-9B-Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+gemma-2-Ifable-9B-Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+gemma-2-Ifable-9B-Q4_0.gguf filter=lfs diff=lfs merge=lfs -text
+gemma-2-Ifable-9B-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+gemma-2-Ifable-9B-Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+gemma-2-Ifable-9B-Q5_0.gguf filter=lfs diff=lfs merge=lfs -text
+gemma-2-Ifable-9B-Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+gemma-2-Ifable-9B-Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+gemma-2-Ifable-9B-Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
+gemma-2-Ifable-9B-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,117 @@
+---
+license: gemma
+library_name: transformers
+datasets:
+- jondurbin/gutenberg-dpo-v0.1
+tags:
+- TensorBlock
+- GGUF
+base_model: ifable/gemma-2-Ifable-9B
+---
+
+<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>
+
+## ifable/gemma-2-Ifable-9B - GGUF
+
+This repo contains GGUF format model files for [ifable/gemma-2-Ifable-9B](https://huggingface.co/ifable/gemma-2-Ifable-9B).
+
+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
+
+```
+<bos>{system_prompt}<start_of_turn>user
+{prompt}<end_of_turn>
+<start_of_turn>model
+```
+
+## Model file specification
+
+| Filename | Quant type | File Size | Description |
+| -------- | ---------- | --------- | ----------- |
+| [gemma-2-Ifable-9B-Q2_K.gguf](https://huggingface.co/tensorblock/ifable_gemma-2-Ifable-9B-GGUF/blob/main/gemma-2-Ifable-9B-Q2_K.gguf) | Q2_K | 3.805 GB | smallest, significant quality loss - not recommended for most purposes |
+| [gemma-2-Ifable-9B-Q3_K_S.gguf](https://huggingface.co/tensorblock/ifable_gemma-2-Ifable-9B-GGUF/blob/main/gemma-2-Ifable-9B-Q3_K_S.gguf) | Q3_K_S | 4.338 GB | very small, high quality loss |
+| [gemma-2-Ifable-9B-Q3_K_M.gguf](https://huggingface.co/tensorblock/ifable_gemma-2-Ifable-9B-GGUF/blob/main/gemma-2-Ifable-9B-Q3_K_M.gguf) | Q3_K_M | 4.762 GB | very small, high quality loss |
+| [gemma-2-Ifable-9B-Q3_K_L.gguf](https://huggingface.co/tensorblock/ifable_gemma-2-Ifable-9B-GGUF/blob/main/gemma-2-Ifable-9B-Q3_K_L.gguf) | Q3_K_L | 5.132 GB | small, substantial quality loss |
+| [gemma-2-Ifable-9B-Q4_0.gguf](https://huggingface.co/tensorblock/ifable_gemma-2-Ifable-9B-GGUF/blob/main/gemma-2-Ifable-9B-Q4_0.gguf) | Q4_0 | 5.443 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
+| [gemma-2-Ifable-9B-Q4_K_S.gguf](https://huggingface.co/tensorblock/ifable_gemma-2-Ifable-9B-GGUF/blob/main/gemma-2-Ifable-9B-Q4_K_S.gguf) | Q4_K_S | 5.479 GB | small, greater quality loss |
+| [gemma-2-Ifable-9B-Q4_K_M.gguf](https://huggingface.co/tensorblock/ifable_gemma-2-Ifable-9B-GGUF/blob/main/gemma-2-Ifable-9B-Q4_K_M.gguf) | Q4_K_M | 5.761 GB | medium, balanced quality - recommended |
+| [gemma-2-Ifable-9B-Q5_0.gguf](https://huggingface.co/tensorblock/ifable_gemma-2-Ifable-9B-GGUF/blob/main/gemma-2-Ifable-9B-Q5_0.gguf) | Q5_0 | 6.484 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
+| [gemma-2-Ifable-9B-Q5_K_S.gguf](https://huggingface.co/tensorblock/ifable_gemma-2-Ifable-9B-GGUF/blob/main/gemma-2-Ifable-9B-Q5_K_S.gguf) | Q5_K_S | 6.484 GB | large, low quality loss - recommended |
+| [gemma-2-Ifable-9B-Q5_K_M.gguf](https://huggingface.co/tensorblock/ifable_gemma-2-Ifable-9B-GGUF/blob/main/gemma-2-Ifable-9B-Q5_K_M.gguf) | Q5_K_M | 6.647 GB | large, very low quality loss - recommended |
+| [gemma-2-Ifable-9B-Q6_K.gguf](https://huggingface.co/tensorblock/ifable_gemma-2-Ifable-9B-GGUF/blob/main/gemma-2-Ifable-9B-Q6_K.gguf) | Q6_K | 7.589 GB | very large, extremely low quality loss |
+| [gemma-2-Ifable-9B-Q8_0.gguf](https://huggingface.co/tensorblock/ifable_gemma-2-Ifable-9B-GGUF/blob/main/gemma-2-Ifable-9B-Q8_0.gguf) | Q8_0 | 9.827 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/ifable_gemma-2-Ifable-9B-GGUF --include "gemma-2-Ifable-9B-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/ifable_gemma-2-Ifable-9B-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
+```

gemma-2-Ifable-9B-Q2_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:39b843fb5bbe433b74b3b61edc66a43e3f8fc3c3bbafb0754ac88d6bf246fd9c
+size 3805398144

gemma-2-Ifable-9B-Q3_K_L.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1b58af9bbdd2bad191e8ece6afae9e957ad4b60e95ce99df9d8a350e2430c7cf
+size 5132452992

gemma-2-Ifable-9B-Q3_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:84d6a905ada4c85edf7e5b6f582c6ebedc9b15a4780e870c336a18ecbc35f9ad
+size 4761781376

gemma-2-Ifable-9B-Q3_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cd3ca628698205c1cf9de93a892fb265b8583c9bc1479f30f8f5f19241fc33f5
+size 4337665152

gemma-2-Ifable-9B-Q4_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6a6e7dd32adb9957923e0b57a52048971e8f50fd4e40d43988120f2161041bf4
+size 5443142784

gemma-2-Ifable-9B-Q4_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9898ad2bf9d968f529c18df5d1425ecb0d549cb56aa090c01a92f7b6f7f4092e
+size 5761057920

gemma-2-Ifable-9B-Q4_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4c1d119163ebf8a999c34d79e7dc3772772dba5ccf21d8db3378ceefb0bb363b
+size 5478925440

gemma-2-Ifable-9B-Q5_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0070fdcb01340b7e2e9f7bf1571eeddbc87ec426b978869f67d9bfde64834781
+size 6483592320

gemma-2-Ifable-9B-Q5_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:65df7ca8d2eb0d001fce40a4dc9962d5a9daf5c24c05f4f94c96a8b3666449eb
+size 6647366784

gemma-2-Ifable-9B-Q5_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4db8df5881e54deca1872327446e6ace4a5ec3534e1f59e6e677abdea68afa46
+size 6483592320

gemma-2-Ifable-9B-Q6_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:358e6e0228db7dfa8f12560af9f8ddfc5d5245656933a5b057d5d72311f08986
+size 7589069952

gemma-2-Ifable-9B-Q8_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c81765a2a563dd1162eafd785f05c050e3e0d40efc61478dcfa173495f681d36
+size 9827148928