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

7B-Orfini-Q2_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a1a3be81cec58b551af3e6f6edafb511ed44fd4e5811b5dcfbb3dfb39b033e7b
+size 2532865472

7B-Orfini-Q3_K_L.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e64d0815dd532b1b3e86df1a5f9d64dcbb19e37983a9dbabc22a541e56a4b38d
+size 3597112768

7B-Orfini-Q3_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:277b290aaaeeb213f98c1329590d39dc5566f419420c5ca64436302f48ecc4d7
+size 3298006464

7B-Orfini-Q3_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:87e4d09eaf6b0e5cca4ad2f16e02fa9d674a0726d2ac12618b2cabfdc93d562d
+size 2948306368

7B-Orfini-Q4_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b629a70b85fd54b1f29a61e5f90d3788ad2e065b0aea75b2600e42778a445dbc
+size 3825808832

7B-Orfini-Q4_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c7493e31bd6a24731f883fd8601c6a7a0369bb4a1df6bd0bf8c1d26ce4e474ba
+size 4081006016

7B-Orfini-Q4_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e8fbeb56ba9547a828e058abcc04ba1eecaeb19daab2036a8a2e070ccfbfda09
+size 3856741824

7B-Orfini-Q5_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f51682a2683823d8d903549b6681813b175d4a569fc7a5aa46f905fe525744a7
+size 4651693504

7B-Orfini-Q5_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d21f66cc8bd83e89a751df2ea3136733bcb50434939789d06cd5c61bd7df4f46
+size 4783158720

7B-Orfini-Q5_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6de3cfda61e20335a7ae47e16700a99bff6fbc08b172616d8ae787b3bd573788
+size 4651693504

7B-Orfini-Q6_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b9d7c9374cd60fd2a61de1fb7aa3b5ac70b4533ca4961382719d8bf1f340b438
+size 5529195968

7B-Orfini-Q8_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ebc4cd20329a3101b954dfcb9c8511e142b895edac30dd68ddcb746b69dd49a6
+size 7161091520

README.md

@@ -0,0 +1,127 @@
+---
+license: mit
+datasets:
+- Open-Orca/OpenOrca
+- conceptofmind/cot_submix_original
+- conceptofmind/t0_submix_original
+- conceptofmind/niv2_submix_original
+- conceptofmind/flan2021_submix_original
+- ehartford/dolphin
+language:
+- en
+tags:
+- merge
+- slerp
+- TensorBlock
+- GGUF
+inference: false
+metrics:
+- accuracy
+- bleu
+base_model: NewstaR/7B-Orfini
+---
+
+<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>
+
+## NewstaR/7B-Orfini - GGUF
+
+This repo contains GGUF format model files for [NewstaR/7B-Orfini](https://huggingface.co/NewstaR/7B-Orfini).
+
+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
+
+```
+Unable to determine prompt format automatically. Please check the original model repository for the correct prompt format.
+```
+
+## Model file specification
+
+| Filename | Quant type | File Size | Description |
+| -------- | ---------- | --------- | ----------- |
+| [7B-Orfini-Q2_K.gguf](https://huggingface.co/tensorblock/NewstaR_7B-Orfini-GGUF/blob/main/7B-Orfini-Q2_K.gguf) | Q2_K | 2.533 GB | smallest, significant quality loss - not recommended for most purposes |
+| [7B-Orfini-Q3_K_S.gguf](https://huggingface.co/tensorblock/NewstaR_7B-Orfini-GGUF/blob/main/7B-Orfini-Q3_K_S.gguf) | Q3_K_S | 2.948 GB | very small, high quality loss |
+| [7B-Orfini-Q3_K_M.gguf](https://huggingface.co/tensorblock/NewstaR_7B-Orfini-GGUF/blob/main/7B-Orfini-Q3_K_M.gguf) | Q3_K_M | 3.298 GB | very small, high quality loss |
+| [7B-Orfini-Q3_K_L.gguf](https://huggingface.co/tensorblock/NewstaR_7B-Orfini-GGUF/blob/main/7B-Orfini-Q3_K_L.gguf) | Q3_K_L | 3.597 GB | small, substantial quality loss |
+| [7B-Orfini-Q4_0.gguf](https://huggingface.co/tensorblock/NewstaR_7B-Orfini-GGUF/blob/main/7B-Orfini-Q4_0.gguf) | Q4_0 | 3.826 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
+| [7B-Orfini-Q4_K_S.gguf](https://huggingface.co/tensorblock/NewstaR_7B-Orfini-GGUF/blob/main/7B-Orfini-Q4_K_S.gguf) | Q4_K_S | 3.857 GB | small, greater quality loss |
+| [7B-Orfini-Q4_K_M.gguf](https://huggingface.co/tensorblock/NewstaR_7B-Orfini-GGUF/blob/main/7B-Orfini-Q4_K_M.gguf) | Q4_K_M | 4.081 GB | medium, balanced quality - recommended |
+| [7B-Orfini-Q5_0.gguf](https://huggingface.co/tensorblock/NewstaR_7B-Orfini-GGUF/blob/main/7B-Orfini-Q5_0.gguf) | Q5_0 | 4.652 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
+| [7B-Orfini-Q5_K_S.gguf](https://huggingface.co/tensorblock/NewstaR_7B-Orfini-GGUF/blob/main/7B-Orfini-Q5_K_S.gguf) | Q5_K_S | 4.652 GB | large, low quality loss - recommended |
+| [7B-Orfini-Q5_K_M.gguf](https://huggingface.co/tensorblock/NewstaR_7B-Orfini-GGUF/blob/main/7B-Orfini-Q5_K_M.gguf) | Q5_K_M | 4.783 GB | large, very low quality loss - recommended |
+| [7B-Orfini-Q6_K.gguf](https://huggingface.co/tensorblock/NewstaR_7B-Orfini-GGUF/blob/main/7B-Orfini-Q6_K.gguf) | Q6_K | 5.529 GB | very large, extremely low quality loss |
+| [7B-Orfini-Q8_0.gguf](https://huggingface.co/tensorblock/NewstaR_7B-Orfini-GGUF/blob/main/7B-Orfini-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/NewstaR_7B-Orfini-GGUF --include "7B-Orfini-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/NewstaR_7B-Orfini-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
+```