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
+ChocoLlama-2-7B-instruct-Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
+ChocoLlama-2-7B-instruct-Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
+ChocoLlama-2-7B-instruct-Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+ChocoLlama-2-7B-instruct-Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+ChocoLlama-2-7B-instruct-Q4_0.gguf filter=lfs diff=lfs merge=lfs -text
+ChocoLlama-2-7B-instruct-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+ChocoLlama-2-7B-instruct-Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+ChocoLlama-2-7B-instruct-Q5_0.gguf filter=lfs diff=lfs merge=lfs -text
+ChocoLlama-2-7B-instruct-Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+ChocoLlama-2-7B-instruct-Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+ChocoLlama-2-7B-instruct-Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
+ChocoLlama-2-7B-instruct-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text

ChocoLlama-2-7B-instruct-Q2_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8c45351ece13af945bbdcc7d0fa5c3e5a50c3333f3156d7bcdb7d0d00c716a5b
+size 2532866336

ChocoLlama-2-7B-instruct-Q3_K_L.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fc71466631d520eb3ccc92e6d708f529684ba46b088a81f493b3384699b8efb6
+size 3597113632

ChocoLlama-2-7B-instruct-Q3_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a1b21a94f7de67d5f7d8e1973302734dfda572e9bc447af784cce57cab3e9a13
+size 3298007328

ChocoLlama-2-7B-instruct-Q3_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ec1ea171258ad75a35b6a80ba8cf7106b4bc9cecba7d2a781e1246a86246bd0b
+size 2948307232

ChocoLlama-2-7B-instruct-Q4_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9b93ea5c6f8eac5ed8a6ed4b9050415aaca3ae7c6ce2624dcb0d8d8392f9d4bd
+size 3825809696

ChocoLlama-2-7B-instruct-Q4_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2564188e7d5395baa8fbca7d50b0c2365c1f20c7e4f6cc493d2f33cb80c83084
+size 4081006880

ChocoLlama-2-7B-instruct-Q4_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:00714136e15ae562ac775b9ba7cfd1d3b5f5621b85c79aeaae0ee824d1751fdf
+size 3856742688

ChocoLlama-2-7B-instruct-Q5_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9ecafcc62f3baf3c10af9d7d7cbb97eb111e68a70a114ae4518e4dd59d69c727
+size 4651694368

ChocoLlama-2-7B-instruct-Q5_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4876e0b67cdab610d3d7e6e4ad41a36e92cddf6b4c05d2e384e88744846afa5c
+size 4783159584

ChocoLlama-2-7B-instruct-Q5_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:060f16130d333762a7b6f32f7be771141f366f63077c7e0795185cda1aae761e
+size 4651694368

ChocoLlama-2-7B-instruct-Q6_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d51f58687c4d3ea7acf718879f0bff5cf866235ba514864b17ec67ac03878bc4
+size 5529196832

ChocoLlama-2-7B-instruct-Q8_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0b178b1249eafe80cba2fd157ef29d9e12eec41308b19e335a7ddd2f4414b36b
+size 7161092384

README.md

@@ -0,0 +1,125 @@
+---
+language:
+- nl
+license: cc-by-nc-4.0
+base_model: ChocoLlama/ChocoLlama-2-7B-instruct
+datasets:
+- BramVanroy/ultrachat_200k_dutch
+- BramVanroy/stackoverflow-chat-dutch
+- BramVanroy/alpaca-cleaned-dutch
+- BramVanroy/dolly-15k-dutch
+- BramVanroy/no_robots_dutch
+- BramVanroy/ultra_feedback_dutch
+tags:
+- TensorBlock
+- GGUF
+---
+
+<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>
+
+## ChocoLlama/ChocoLlama-2-7B-instruct - GGUF
+
+This repo contains GGUF format model files for [ChocoLlama/ChocoLlama-2-7B-instruct](https://huggingface.co/ChocoLlama/ChocoLlama-2-7B-instruct).
+
+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
+
+```
+<|system|>
+{system_prompt}</s>
+<|user|>
+{prompt}</s>
+<|assistant|>
+```
+
+## Model file specification
+
+| Filename | Quant type | File Size | Description |
+| -------- | ---------- | --------- | ----------- |
+| [ChocoLlama-2-7B-instruct-Q2_K.gguf](https://huggingface.co/tensorblock/ChocoLlama_ChocoLlama-2-7B-instruct-GGUF/blob/main/ChocoLlama-2-7B-instruct-Q2_K.gguf) | Q2_K | 2.533 GB | smallest, significant quality loss - not recommended for most purposes |
+| [ChocoLlama-2-7B-instruct-Q3_K_S.gguf](https://huggingface.co/tensorblock/ChocoLlama_ChocoLlama-2-7B-instruct-GGUF/blob/main/ChocoLlama-2-7B-instruct-Q3_K_S.gguf) | Q3_K_S | 2.948 GB | very small, high quality loss |
+| [ChocoLlama-2-7B-instruct-Q3_K_M.gguf](https://huggingface.co/tensorblock/ChocoLlama_ChocoLlama-2-7B-instruct-GGUF/blob/main/ChocoLlama-2-7B-instruct-Q3_K_M.gguf) | Q3_K_M | 3.298 GB | very small, high quality loss |
+| [ChocoLlama-2-7B-instruct-Q3_K_L.gguf](https://huggingface.co/tensorblock/ChocoLlama_ChocoLlama-2-7B-instruct-GGUF/blob/main/ChocoLlama-2-7B-instruct-Q3_K_L.gguf) | Q3_K_L | 3.597 GB | small, substantial quality loss |
+| [ChocoLlama-2-7B-instruct-Q4_0.gguf](https://huggingface.co/tensorblock/ChocoLlama_ChocoLlama-2-7B-instruct-GGUF/blob/main/ChocoLlama-2-7B-instruct-Q4_0.gguf) | Q4_0 | 3.826 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
+| [ChocoLlama-2-7B-instruct-Q4_K_S.gguf](https://huggingface.co/tensorblock/ChocoLlama_ChocoLlama-2-7B-instruct-GGUF/blob/main/ChocoLlama-2-7B-instruct-Q4_K_S.gguf) | Q4_K_S | 3.857 GB | small, greater quality loss |
+| [ChocoLlama-2-7B-instruct-Q4_K_M.gguf](https://huggingface.co/tensorblock/ChocoLlama_ChocoLlama-2-7B-instruct-GGUF/blob/main/ChocoLlama-2-7B-instruct-Q4_K_M.gguf) | Q4_K_M | 4.081 GB | medium, balanced quality - recommended |
+| [ChocoLlama-2-7B-instruct-Q5_0.gguf](https://huggingface.co/tensorblock/ChocoLlama_ChocoLlama-2-7B-instruct-GGUF/blob/main/ChocoLlama-2-7B-instruct-Q5_0.gguf) | Q5_0 | 4.652 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
+| [ChocoLlama-2-7B-instruct-Q5_K_S.gguf](https://huggingface.co/tensorblock/ChocoLlama_ChocoLlama-2-7B-instruct-GGUF/blob/main/ChocoLlama-2-7B-instruct-Q5_K_S.gguf) | Q5_K_S | 4.652 GB | large, low quality loss - recommended |
+| [ChocoLlama-2-7B-instruct-Q5_K_M.gguf](https://huggingface.co/tensorblock/ChocoLlama_ChocoLlama-2-7B-instruct-GGUF/blob/main/ChocoLlama-2-7B-instruct-Q5_K_M.gguf) | Q5_K_M | 4.783 GB | large, very low quality loss - recommended |
+| [ChocoLlama-2-7B-instruct-Q6_K.gguf](https://huggingface.co/tensorblock/ChocoLlama_ChocoLlama-2-7B-instruct-GGUF/blob/main/ChocoLlama-2-7B-instruct-Q6_K.gguf) | Q6_K | 5.529 GB | very large, extremely low quality loss |
+| [ChocoLlama-2-7B-instruct-Q8_0.gguf](https://huggingface.co/tensorblock/ChocoLlama_ChocoLlama-2-7B-instruct-GGUF/blob/main/ChocoLlama-2-7B-instruct-Q8_0.gguf) | Q8_0 | 7.161 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/ChocoLlama_ChocoLlama-2-7B-instruct-GGUF --include "ChocoLlama-2-7B-instruct-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/ChocoLlama_ChocoLlama-2-7B-instruct-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
+```