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

README.md

@@ -0,0 +1,76 @@
+---
+license: cc-by-nc-4.0
+base_model: KnutJaegersberg/webMistral-7B
+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>
+
+## KnutJaegersberg/webMistral-7B - GGUF
+
+This repo contains GGUF format model files for [KnutJaegersberg/webMistral-7B](https://huggingface.co/KnutJaegersberg/webMistral-7B).
+
+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
+
+```
+
+```
+
+## Model file specification
+
+| Filename | Quant type | File Size | Description |
+| -------- | ---------- | --------- | ----------- |
+| [webMistral-7B-Q2_K.gguf](https://huggingface.co/tensorblock/webMistral-7B-GGUF/blob/main/webMistral-7B-Q2_K.gguf) | Q2_K | 2.532 GB | smallest, significant quality loss - not recommended for most purposes |
+| [webMistral-7B-Q3_K_S.gguf](https://huggingface.co/tensorblock/webMistral-7B-GGUF/blob/main/webMistral-7B-Q3_K_S.gguf) | Q3_K_S | 2.947 GB | very small, high quality loss |
+| [webMistral-7B-Q3_K_M.gguf](https://huggingface.co/tensorblock/webMistral-7B-GGUF/blob/main/webMistral-7B-Q3_K_M.gguf) | Q3_K_M | 3.277 GB | very small, high quality loss |
+| [webMistral-7B-Q3_K_L.gguf](https://huggingface.co/tensorblock/webMistral-7B-GGUF/blob/main/webMistral-7B-Q3_K_L.gguf) | Q3_K_L | 3.560 GB | small, substantial quality loss |
+| [webMistral-7B-Q4_0.gguf](https://huggingface.co/tensorblock/webMistral-7B-GGUF/blob/main/webMistral-7B-Q4_0.gguf) | Q4_0 | 3.827 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
+| [webMistral-7B-Q4_K_S.gguf](https://huggingface.co/tensorblock/webMistral-7B-GGUF/blob/main/webMistral-7B-Q4_K_S.gguf) | Q4_K_S | 3.856 GB | small, greater quality loss |
+| [webMistral-7B-Q4_K_M.gguf](https://huggingface.co/tensorblock/webMistral-7B-GGUF/blob/main/webMistral-7B-Q4_K_M.gguf) | Q4_K_M | 4.068 GB | medium, balanced quality - recommended |
+| [webMistral-7B-Q5_0.gguf](https://huggingface.co/tensorblock/webMistral-7B-GGUF/blob/main/webMistral-7B-Q5_0.gguf) | Q5_0 | 4.654 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
+| [webMistral-7B-Q5_K_S.gguf](https://huggingface.co/tensorblock/webMistral-7B-GGUF/blob/main/webMistral-7B-Q5_K_S.gguf) | Q5_K_S | 4.654 GB | large, low quality loss - recommended |
+| [webMistral-7B-Q5_K_M.gguf](https://huggingface.co/tensorblock/webMistral-7B-GGUF/blob/main/webMistral-7B-Q5_K_M.gguf) | Q5_K_M | 4.779 GB | large, very low quality loss - recommended |
+| [webMistral-7B-Q6_K.gguf](https://huggingface.co/tensorblock/webMistral-7B-GGUF/blob/main/webMistral-7B-Q6_K.gguf) | Q6_K | 5.534 GB | very large, extremely low quality loss |
+| [webMistral-7B-Q8_0.gguf](https://huggingface.co/tensorblock/webMistral-7B-GGUF/blob/main/webMistral-7B-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/webMistral-7B-GGUF --include "webMistral-7B-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/webMistral-7B-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
+```

webMistral-7B-Q2_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7ec7efdc509837dc3ced015d4966afbb8e3574e7babee283201777a05a4239d9
+size 2719242144

webMistral-7B-Q3_K_L.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a11831cb75aa7abbba519960d64da025e2dbc7a356901dd0b3b90ce4ce68b4a9
+size 3822024608

webMistral-7B-Q3_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:71c513c24c2e13b89cab00ad64bfe51bac912b757815818b6f695101e40130c0
+size 3518986144

webMistral-7B-Q3_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3d8ff1793a8cdef2b9baa99dd76b7f120ed8273af2b285466f2aa14f6b9e5f35
+size 3164567456

webMistral-7B-Q4_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:919991f1886d6ce2af9c4861705d285c9bac63ff38417457e9d3932a035f09c9
+size 4108916640

webMistral-7B-Q4_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:331e06af5242f7ef6f7f9967cb76c0df6f8f9cb772f1b2360866f9fcb7493047
+size 4368439200

webMistral-7B-Q4_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:56fd173c758e525a4c51b1acdf2d1b5f55cbfa61531fc8158d71c1320d227784
+size 4140373920

webMistral-7B-Q5_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e8ebb28dd691dba9ef6c16803b81ee4c35364862a4752d05b63e3eb8693b04d2
+size 4997715872

webMistral-7B-Q5_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:06e8d534f12bb5105a004152163a058fd41a05f805338d91b889c84e7f97bf57
+size 5131409312

webMistral-7B-Q5_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f3e1d337c732c37000c51c5c6080cca77bfcd5b483530cb50d1bf87be5f89f8a
+size 4997715872

webMistral-7B-Q6_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bad904bacbf44e5e3ea48f68ffde77c7bd3a6c2ba722b9990d7c08e7202853e2
+size 5942065056

webMistral-7B-Q8_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:61aa4751bcdcd70ce5a1a1516cb5cc44d7cf9d99a2511f0bcd488e926fdb27a5
+size 7695857568