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

README.md

@@ -0,0 +1,79 @@
+---
+pipeline_tag: text-generation
+tags:
+- mistral
+- merge
+- TensorBlock
+- GGUF
+license: cc-by-4.0
+base_model: Azazelle/Silicon-Medley
+---
+
+<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>
+
+## Azazelle/Silicon-Medley - GGUF
+
+This repo contains GGUF format model files for [Azazelle/Silicon-Medley](https://huggingface.co/Azazelle/Silicon-Medley).
+
+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 |
+| -------- | ---------- | --------- | ----------- |
+| [Silicon-Medley-Q2_K.gguf](https://huggingface.co/tensorblock/Silicon-Medley-GGUF/blob/main/Silicon-Medley-Q2_K.gguf) | Q2_K | 2.719 GB | smallest, significant quality loss - not recommended for most purposes |
+| [Silicon-Medley-Q3_K_S.gguf](https://huggingface.co/tensorblock/Silicon-Medley-GGUF/blob/main/Silicon-Medley-Q3_K_S.gguf) | Q3_K_S | 3.165 GB | very small, high quality loss |
+| [Silicon-Medley-Q3_K_M.gguf](https://huggingface.co/tensorblock/Silicon-Medley-GGUF/blob/main/Silicon-Medley-Q3_K_M.gguf) | Q3_K_M | 3.519 GB | very small, high quality loss |
+| [Silicon-Medley-Q3_K_L.gguf](https://huggingface.co/tensorblock/Silicon-Medley-GGUF/blob/main/Silicon-Medley-Q3_K_L.gguf) | Q3_K_L | 3.822 GB | small, substantial quality loss |
+| [Silicon-Medley-Q4_0.gguf](https://huggingface.co/tensorblock/Silicon-Medley-GGUF/blob/main/Silicon-Medley-Q4_0.gguf) | Q4_0 | 4.109 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
+| [Silicon-Medley-Q4_K_S.gguf](https://huggingface.co/tensorblock/Silicon-Medley-GGUF/blob/main/Silicon-Medley-Q4_K_S.gguf) | Q4_K_S | 4.140 GB | small, greater quality loss |
+| [Silicon-Medley-Q4_K_M.gguf](https://huggingface.co/tensorblock/Silicon-Medley-GGUF/blob/main/Silicon-Medley-Q4_K_M.gguf) | Q4_K_M | 4.368 GB | medium, balanced quality - recommended |
+| [Silicon-Medley-Q5_0.gguf](https://huggingface.co/tensorblock/Silicon-Medley-GGUF/blob/main/Silicon-Medley-Q5_0.gguf) | Q5_0 | 4.998 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
+| [Silicon-Medley-Q5_K_S.gguf](https://huggingface.co/tensorblock/Silicon-Medley-GGUF/blob/main/Silicon-Medley-Q5_K_S.gguf) | Q5_K_S | 4.998 GB | large, low quality loss - recommended |
+| [Silicon-Medley-Q5_K_M.gguf](https://huggingface.co/tensorblock/Silicon-Medley-GGUF/blob/main/Silicon-Medley-Q5_K_M.gguf) | Q5_K_M | 5.131 GB | large, very low quality loss - recommended |
+| [Silicon-Medley-Q6_K.gguf](https://huggingface.co/tensorblock/Silicon-Medley-GGUF/blob/main/Silicon-Medley-Q6_K.gguf) | Q6_K | 5.942 GB | very large, extremely low quality loss |
+| [Silicon-Medley-Q8_0.gguf](https://huggingface.co/tensorblock/Silicon-Medley-GGUF/blob/main/Silicon-Medley-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/Silicon-Medley-GGUF --include "Silicon-Medley-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/Silicon-Medley-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
+```

Silicon-Medley-Q2_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:714144d4c30e88eed63fe6f29c00c50ce7a33834230e2cc8e544f21a759857c4
+size 2719242368

Silicon-Medley-Q3_K_L.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:49bfb64779bb679613f8fa0bbae72041b323ad6dafd1e4208aa19551db00e8cf
+size 3822024832

Silicon-Medley-Q3_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f5a0776bce10be59b63e862474351df02cd6c435ec67be98cc1b2f2411b70342
+size 3518986368

Silicon-Medley-Q3_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9852b1c11a6dcb18ecc1dda6c7705e81e72b7b2ed27d2b4649591567176a96c2
+size 3164567680

Silicon-Medley-Q4_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f4b466815dbf29ccb5736f48d6b343e9da50e80528dd0abde28486a3e793c704
+size 4108916864

Silicon-Medley-Q4_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8abb52ab30d4ba4c382cd43193f309d4325e046d397b928433b18bde6d898cb1
+size 4368439424

Silicon-Medley-Q4_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:265b180a51c9cfebd8d4faf5b3eeea653ffd6543f42bd07190a02d321ec5c5ba
+size 4140374144

Silicon-Medley-Q5_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3b7164fdfd4c84397a3de65e497a0a50e0eb4ee61eef3074445de6002a27ccae
+size 4997716096

Silicon-Medley-Q5_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e83e282bfeedde4467d0f7b87841bf5c93ff2e58e78182acba82bdc8dd4e15bf
+size 5131409536

Silicon-Medley-Q5_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1a55a0b230f0c5f147952587f90f158977fcbb6614251fc1d183bd45ad6cfb48
+size 4997716096

Silicon-Medley-Q6_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b37d55d3fa203199faa429fb7c103140b6f35a4f116ea1f0510a8bcd0cce4e4b
+size 5942065280

Silicon-Medley-Q8_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:45a52e4dd093efccfacea4c36349daf4f4a381a75a04b3425cdaf75fdaf29ee1
+size 7695857792