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-AEZAKMI-v1-Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
+Mistral-7B-AEZAKMI-v1-Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
+Mistral-7B-AEZAKMI-v1-Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Mistral-7B-AEZAKMI-v1-Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Mistral-7B-AEZAKMI-v1-Q4_0.gguf filter=lfs diff=lfs merge=lfs -text
+Mistral-7B-AEZAKMI-v1-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Mistral-7B-AEZAKMI-v1-Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Mistral-7B-AEZAKMI-v1-Q5_0.gguf filter=lfs diff=lfs merge=lfs -text
+Mistral-7B-AEZAKMI-v1-Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Mistral-7B-AEZAKMI-v1-Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Mistral-7B-AEZAKMI-v1-Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
+Mistral-7B-AEZAKMI-v1-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text

Mistral-7B-AEZAKMI-v1-Q2_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:240d416bef506b5ec48b431ac7f69594365176c12d033942d5481b7260be61b5
+size 2719242272

Mistral-7B-AEZAKMI-v1-Q3_K_L.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4ce2a04a53360716533fc402202e74dcfa0a9e54705573a3a5e3eb8955cd4969
+size 3822024736

Mistral-7B-AEZAKMI-v1-Q3_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0011c0b6f50b9726b455bb0a62069d41fa934627faef43a7daca461315f1bdf0
+size 3518986272

Mistral-7B-AEZAKMI-v1-Q3_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ea12598fcb9e4e42426f16ff5ca44624e10a2fe9ec5671fc563c35e561ce1e50
+size 3164567584

Mistral-7B-AEZAKMI-v1-Q4_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:eb5a92ba000e415a5f80c23c4e258c99fad6e7e621979b61a07c178a2486b110
+size 4108916768

Mistral-7B-AEZAKMI-v1-Q4_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:860168f38b5e1d9ecc46361c9e7b8dcd87c74b0196929007654c8fb2f08008c3
+size 4368439328

Mistral-7B-AEZAKMI-v1-Q4_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:77e1fc6bb28af147a597e3c691eabcc283e0ed90ed1b5335c8802230b2c67bf1
+size 4140374048

Mistral-7B-AEZAKMI-v1-Q5_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:adf8b6ea6c7f9008a98d27620c961b7a2560ac09347ae8589f5492304eb6e9af
+size 4997716000

Mistral-7B-AEZAKMI-v1-Q5_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:caf403f25a734dbc5ae4cd9d191420191153b7ad4f2453885b182fe8783a3a31
+size 5131409440

Mistral-7B-AEZAKMI-v1-Q5_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:069f3ddf425801db0ea665bc13ce907cf83e394aea04df56d1a9d3712d1cb675
+size 4997716000

Mistral-7B-AEZAKMI-v1-Q6_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ecdbd98ccd0be2c4a9a758cc8956ba2548bd7777cf5d4f7eee0e96597adaee40
+size 5942065184

Mistral-7B-AEZAKMI-v1-Q8_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c8e3322460fc2f01aad6164e3d912fb8c3c6519f1238e5ef0ecaa0beba35f980
+size 7695857696

README.md

@@ -0,0 +1,78 @@
+---
+license: other
+license_name: other
+license_link: LICENSE
+tags:
+- TensorBlock
+- GGUF
+base_model: adamo1139/Mistral-7B-AEZAKMI-v1
+---
+
+<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>
+
+## adamo1139/Mistral-7B-AEZAKMI-v1 - GGUF
+
+This repo contains GGUF format model files for [adamo1139/Mistral-7B-AEZAKMI-v1](https://huggingface.co/adamo1139/Mistral-7B-AEZAKMI-v1).
+
+The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b4242](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
+
+```
+
+```
+
+## Model file specification
+
+| Filename | Quant type | File Size | Description |
+| -------- | ---------- | --------- | ----------- |
+| [Mistral-7B-AEZAKMI-v1-Q2_K.gguf](https://huggingface.co/tensorblock/Mistral-7B-AEZAKMI-v1-GGUF/blob/main/Mistral-7B-AEZAKMI-v1-Q2_K.gguf) | Q2_K | 2.719 GB | smallest, significant quality loss - not recommended for most purposes |
+| [Mistral-7B-AEZAKMI-v1-Q3_K_S.gguf](https://huggingface.co/tensorblock/Mistral-7B-AEZAKMI-v1-GGUF/blob/main/Mistral-7B-AEZAKMI-v1-Q3_K_S.gguf) | Q3_K_S | 3.165 GB | very small, high quality loss |
+| [Mistral-7B-AEZAKMI-v1-Q3_K_M.gguf](https://huggingface.co/tensorblock/Mistral-7B-AEZAKMI-v1-GGUF/blob/main/Mistral-7B-AEZAKMI-v1-Q3_K_M.gguf) | Q3_K_M | 3.519 GB | very small, high quality loss |
+| [Mistral-7B-AEZAKMI-v1-Q3_K_L.gguf](https://huggingface.co/tensorblock/Mistral-7B-AEZAKMI-v1-GGUF/blob/main/Mistral-7B-AEZAKMI-v1-Q3_K_L.gguf) | Q3_K_L | 3.822 GB | small, substantial quality loss |
+| [Mistral-7B-AEZAKMI-v1-Q4_0.gguf](https://huggingface.co/tensorblock/Mistral-7B-AEZAKMI-v1-GGUF/blob/main/Mistral-7B-AEZAKMI-v1-Q4_0.gguf) | Q4_0 | 4.109 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
+| [Mistral-7B-AEZAKMI-v1-Q4_K_S.gguf](https://huggingface.co/tensorblock/Mistral-7B-AEZAKMI-v1-GGUF/blob/main/Mistral-7B-AEZAKMI-v1-Q4_K_S.gguf) | Q4_K_S | 4.140 GB | small, greater quality loss |
+| [Mistral-7B-AEZAKMI-v1-Q4_K_M.gguf](https://huggingface.co/tensorblock/Mistral-7B-AEZAKMI-v1-GGUF/blob/main/Mistral-7B-AEZAKMI-v1-Q4_K_M.gguf) | Q4_K_M | 4.368 GB | medium, balanced quality - recommended |
+| [Mistral-7B-AEZAKMI-v1-Q5_0.gguf](https://huggingface.co/tensorblock/Mistral-7B-AEZAKMI-v1-GGUF/blob/main/Mistral-7B-AEZAKMI-v1-Q5_0.gguf) | Q5_0 | 4.998 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
+| [Mistral-7B-AEZAKMI-v1-Q5_K_S.gguf](https://huggingface.co/tensorblock/Mistral-7B-AEZAKMI-v1-GGUF/blob/main/Mistral-7B-AEZAKMI-v1-Q5_K_S.gguf) | Q5_K_S | 4.998 GB | large, low quality loss - recommended |
+| [Mistral-7B-AEZAKMI-v1-Q5_K_M.gguf](https://huggingface.co/tensorblock/Mistral-7B-AEZAKMI-v1-GGUF/blob/main/Mistral-7B-AEZAKMI-v1-Q5_K_M.gguf) | Q5_K_M | 5.131 GB | large, very low quality loss - recommended |
+| [Mistral-7B-AEZAKMI-v1-Q6_K.gguf](https://huggingface.co/tensorblock/Mistral-7B-AEZAKMI-v1-GGUF/blob/main/Mistral-7B-AEZAKMI-v1-Q6_K.gguf) | Q6_K | 5.942 GB | very large, extremely low quality loss |
+| [Mistral-7B-AEZAKMI-v1-Q8_0.gguf](https://huggingface.co/tensorblock/Mistral-7B-AEZAKMI-v1-GGUF/blob/main/Mistral-7B-AEZAKMI-v1-Q8_0.gguf) | Q8_0 | 7.696 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-AEZAKMI-v1-GGUF --include "Mistral-7B-AEZAKMI-v1-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-AEZAKMI-v1-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
+```