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

Mistral-7B-Base-SFT-DPO-Q2_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:67d2b99bdebb8caf838a2c102cdd11dd56ac5de89a6ad7478d2c9c76e2703d5c
+size 2719242752

Mistral-7B-Base-SFT-DPO-Q3_K_L.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:92058806b7864479b506bf25ddffbc925fdee21405d8b412124e0ad661d481a1
+size 3822025216

Mistral-7B-Base-SFT-DPO-Q3_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9cbf0fd9e0a2820ec976daba13293604238627254ec42a1b32c892a413cb6605
+size 3518986752

Mistral-7B-Base-SFT-DPO-Q3_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5cdf21c5d95d2411e4b2b56c3631fed73a3aeb7424b17c01848d1afe933f268e
+size 3164568064

Mistral-7B-Base-SFT-DPO-Q4_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:578efbb83ca32acb0d9cd042e3a996d4517452eba8957a2bc65f898c15a32ca7
+size 4108917248

Mistral-7B-Base-SFT-DPO-Q4_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0d936d51dd5f401eee2d03da60d1b12c19a64cba06399531adc83b963ad7c5ab
+size 4368439808

Mistral-7B-Base-SFT-DPO-Q4_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5977ece7d67aaafbae7c6490d2d13b40466f2f7b62fb17a73567162bcdcb21a6
+size 4140374528

Mistral-7B-Base-SFT-DPO-Q5_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8de090dfa1d0b22d42f831ad422f086210823db938c8813ab43913127f91923d
+size 4997716480

Mistral-7B-Base-SFT-DPO-Q5_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:12002dbdd21c66fce390106551fead2849d26a6d40b58aa2e6fc61550ecc3116
+size 5131409920

Mistral-7B-Base-SFT-DPO-Q5_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:75b471455c4255860f4e7ccbec249eab5af977050e019af26e054d9c5090a50a
+size 4997716480

Mistral-7B-Base-SFT-DPO-Q6_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d447acdedb4a1937857775e6342a86ca402eeef1eeeeb78aa5c1678f7db11021
+size 5942065664

Mistral-7B-Base-SFT-DPO-Q8_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6015e8dd00fa16ce0000b6a431ca4cdc45ebb0a259b32638d7c3ea60a2b08dcd
+size 7695858176

README.md

@@ -0,0 +1,79 @@
+---
+base_model: princeton-nlp/Mistral-7B-Base-SFT-DPO
+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-Base-SFT-DPO - GGUF
+
+This repo contains GGUF format model files for [princeton-nlp/Mistral-7B-Base-SFT-DPO](https://huggingface.co/princeton-nlp/Mistral-7B-Base-SFT-DPO).
+
+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
+
+```
+<|system|>
+{system_prompt}</s>
+<|user|>
+{prompt}</s>
+<|assistant|>
+```
+
+## Model file specification
+
+| Filename | Quant type | File Size | Description |
+| -------- | ---------- | --------- | ----------- |
+| [Mistral-7B-Base-SFT-DPO-Q2_K.gguf](https://huggingface.co/tensorblock/Mistral-7B-Base-SFT-DPO-GGUF/blob/main/Mistral-7B-Base-SFT-DPO-Q2_K.gguf) | Q2_K | 2.532 GB | smallest, significant quality loss - not recommended for most purposes |
+| [Mistral-7B-Base-SFT-DPO-Q3_K_S.gguf](https://huggingface.co/tensorblock/Mistral-7B-Base-SFT-DPO-GGUF/blob/main/Mistral-7B-Base-SFT-DPO-Q3_K_S.gguf) | Q3_K_S | 2.947 GB | very small, high quality loss |
+| [Mistral-7B-Base-SFT-DPO-Q3_K_M.gguf](https://huggingface.co/tensorblock/Mistral-7B-Base-SFT-DPO-GGUF/blob/main/Mistral-7B-Base-SFT-DPO-Q3_K_M.gguf) | Q3_K_M | 3.277 GB | very small, high quality loss |
+| [Mistral-7B-Base-SFT-DPO-Q3_K_L.gguf](https://huggingface.co/tensorblock/Mistral-7B-Base-SFT-DPO-GGUF/blob/main/Mistral-7B-Base-SFT-DPO-Q3_K_L.gguf) | Q3_K_L | 3.560 GB | small, substantial quality loss |
+| [Mistral-7B-Base-SFT-DPO-Q4_0.gguf](https://huggingface.co/tensorblock/Mistral-7B-Base-SFT-DPO-GGUF/blob/main/Mistral-7B-Base-SFT-DPO-Q4_0.gguf) | Q4_0 | 3.827 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
+| [Mistral-7B-Base-SFT-DPO-Q4_K_S.gguf](https://huggingface.co/tensorblock/Mistral-7B-Base-SFT-DPO-GGUF/blob/main/Mistral-7B-Base-SFT-DPO-Q4_K_S.gguf) | Q4_K_S | 3.856 GB | small, greater quality loss |
+| [Mistral-7B-Base-SFT-DPO-Q4_K_M.gguf](https://huggingface.co/tensorblock/Mistral-7B-Base-SFT-DPO-GGUF/blob/main/Mistral-7B-Base-SFT-DPO-Q4_K_M.gguf) | Q4_K_M | 4.068 GB | medium, balanced quality - recommended |
+| [Mistral-7B-Base-SFT-DPO-Q5_0.gguf](https://huggingface.co/tensorblock/Mistral-7B-Base-SFT-DPO-GGUF/blob/main/Mistral-7B-Base-SFT-DPO-Q5_0.gguf) | Q5_0 | 4.654 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
+| [Mistral-7B-Base-SFT-DPO-Q5_K_S.gguf](https://huggingface.co/tensorblock/Mistral-7B-Base-SFT-DPO-GGUF/blob/main/Mistral-7B-Base-SFT-DPO-Q5_K_S.gguf) | Q5_K_S | 4.654 GB | large, low quality loss - recommended |
+| [Mistral-7B-Base-SFT-DPO-Q5_K_M.gguf](https://huggingface.co/tensorblock/Mistral-7B-Base-SFT-DPO-GGUF/blob/main/Mistral-7B-Base-SFT-DPO-Q5_K_M.gguf) | Q5_K_M | 4.779 GB | large, very low quality loss - recommended |
+| [Mistral-7B-Base-SFT-DPO-Q6_K.gguf](https://huggingface.co/tensorblock/Mistral-7B-Base-SFT-DPO-GGUF/blob/main/Mistral-7B-Base-SFT-DPO-Q6_K.gguf) | Q6_K | 5.534 GB | very large, extremely low quality loss |
+| [Mistral-7B-Base-SFT-DPO-Q8_0.gguf](https://huggingface.co/tensorblock/Mistral-7B-Base-SFT-DPO-GGUF/blob/main/Mistral-7B-Base-SFT-DPO-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-Base-SFT-DPO-GGUF --include "Mistral-7B-Base-SFT-DPO-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-Base-SFT-DPO-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
+```