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

Mistral-7B-Instruct-CPO-Q2_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3e568c768491bbfd834f2b00b079e7c8c7aba29a1cf80c0ccb16d0e11911587e
+size 2719242912

Mistral-7B-Instruct-CPO-Q3_K_L.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9bb72ef1ce5be8b0360f33780ca6635ebf6aea6dec2c821ee3f49e7051155863
+size 3822025376

Mistral-7B-Instruct-CPO-Q3_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f714f19ae4900d16beee49421eb015069318e1240f27d7af98de52a3cfe33d8b
+size 3518986912

Mistral-7B-Instruct-CPO-Q3_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3fa1f0f7cd4cf3f2910e0219d719d312e71f7c4ac75fee379d7edaccec2203f1
+size 3164568224

Mistral-7B-Instruct-CPO-Q4_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a263459c78d2dc95344577fd84014f892e2a82b6e5466ae6b54558669e1d6195
+size 4108917408

Mistral-7B-Instruct-CPO-Q4_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:258a15f43c4c359ac45911152bf455bbdd694e18d181cbfabefaade6d3163290
+size 4368439968

Mistral-7B-Instruct-CPO-Q4_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:378e23e1e7519446d6dbbd65b46fc78e05d23e74ab59b920c8b9a432481c4818
+size 4140374688

Mistral-7B-Instruct-CPO-Q5_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:044fd207f2fc3d1097172d7ba74c3343f7d97a97de08e7d3e395e0cd3708d948
+size 4997716640

Mistral-7B-Instruct-CPO-Q5_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:964d976add240abf10dd701a87814688ca8e7d4c71458609f005496a503d3b47
+size 5131410080

Mistral-7B-Instruct-CPO-Q5_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:561a2250436cd6f971bc3ce2b5898e40cad9644e3d1a20f45a98bddd949381a6
+size 4997716640

Mistral-7B-Instruct-CPO-Q6_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9c8be1195b3dfbdc8067e6d7cf097613642aee87e694b5e97bd668c46125cc20
+size 5942065824

Mistral-7B-Instruct-CPO-Q8_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:092f4bcc491b2d34e32ab77e8eaea4c73a1326b25cc0520d55963903963c99cd
+size 7695858336

README.md

@@ -0,0 +1,77 @@
+---
+base_model: princeton-nlp/Mistral-7B-Instruct-CPO
+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>
+
+## princeton-nlp/Mistral-7B-Instruct-CPO - GGUF
+
+This repo contains GGUF format model files for [princeton-nlp/Mistral-7B-Instruct-CPO](https://huggingface.co/princeton-nlp/Mistral-7B-Instruct-CPO).
+
+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 ↗
+    </a>
+</div>
+
+## Prompt template
+
+```
+[INST] {system_prompt}
+
+{prompt} [/INST]
+```
+
+## Model file specification
+
+| Filename | Quant type | File Size | Description |
+| -------- | ---------- | --------- | ----------- |
+| [Mistral-7B-Instruct-CPO-Q2_K.gguf](https://huggingface.co/tensorblock/Mistral-7B-Instruct-CPO-GGUF/blob/main/Mistral-7B-Instruct-CPO-Q2_K.gguf) | Q2_K | 2.532 GB | smallest, significant quality loss - not recommended for most purposes |
+| [Mistral-7B-Instruct-CPO-Q3_K_S.gguf](https://huggingface.co/tensorblock/Mistral-7B-Instruct-CPO-GGUF/blob/main/Mistral-7B-Instruct-CPO-Q3_K_S.gguf) | Q3_K_S | 2.947 GB | very small, high quality loss |
+| [Mistral-7B-Instruct-CPO-Q3_K_M.gguf](https://huggingface.co/tensorblock/Mistral-7B-Instruct-CPO-GGUF/blob/main/Mistral-7B-Instruct-CPO-Q3_K_M.gguf) | Q3_K_M | 3.277 GB | very small, high quality loss |
+| [Mistral-7B-Instruct-CPO-Q3_K_L.gguf](https://huggingface.co/tensorblock/Mistral-7B-Instruct-CPO-GGUF/blob/main/Mistral-7B-Instruct-CPO-Q3_K_L.gguf) | Q3_K_L | 3.560 GB | small, substantial quality loss |
+| [Mistral-7B-Instruct-CPO-Q4_0.gguf](https://huggingface.co/tensorblock/Mistral-7B-Instruct-CPO-GGUF/blob/main/Mistral-7B-Instruct-CPO-Q4_0.gguf) | Q4_0 | 3.827 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
+| [Mistral-7B-Instruct-CPO-Q4_K_S.gguf](https://huggingface.co/tensorblock/Mistral-7B-Instruct-CPO-GGUF/blob/main/Mistral-7B-Instruct-CPO-Q4_K_S.gguf) | Q4_K_S | 3.856 GB | small, greater quality loss |
+| [Mistral-7B-Instruct-CPO-Q4_K_M.gguf](https://huggingface.co/tensorblock/Mistral-7B-Instruct-CPO-GGUF/blob/main/Mistral-7B-Instruct-CPO-Q4_K_M.gguf) | Q4_K_M | 4.068 GB | medium, balanced quality - recommended |
+| [Mistral-7B-Instruct-CPO-Q5_0.gguf](https://huggingface.co/tensorblock/Mistral-7B-Instruct-CPO-GGUF/blob/main/Mistral-7B-Instruct-CPO-Q5_0.gguf) | Q5_0 | 4.654 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
+| [Mistral-7B-Instruct-CPO-Q5_K_S.gguf](https://huggingface.co/tensorblock/Mistral-7B-Instruct-CPO-GGUF/blob/main/Mistral-7B-Instruct-CPO-Q5_K_S.gguf) | Q5_K_S | 4.654 GB | large, low quality loss - recommended |
+| [Mistral-7B-Instruct-CPO-Q5_K_M.gguf](https://huggingface.co/tensorblock/Mistral-7B-Instruct-CPO-GGUF/blob/main/Mistral-7B-Instruct-CPO-Q5_K_M.gguf) | Q5_K_M | 4.779 GB | large, very low quality loss - recommended |
+| [Mistral-7B-Instruct-CPO-Q6_K.gguf](https://huggingface.co/tensorblock/Mistral-7B-Instruct-CPO-GGUF/blob/main/Mistral-7B-Instruct-CPO-Q6_K.gguf) | Q6_K | 5.534 GB | very large, extremely low quality loss |
+| [Mistral-7B-Instruct-CPO-Q8_0.gguf](https://huggingface.co/tensorblock/Mistral-7B-Instruct-CPO-GGUF/blob/main/Mistral-7B-Instruct-CPO-Q8_0.gguf) | Q8_0 | 7.167 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/Mistral-7B-Instruct-CPO-GGUF --include "Mistral-7B-Instruct-CPO-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/Mistral-7B-Instruct-CPO-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
+```