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
+Ryu-4x7B-MoE-bf16-Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
+Ryu-4x7B-MoE-bf16-Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
+Ryu-4x7B-MoE-bf16-Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Ryu-4x7B-MoE-bf16-Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Ryu-4x7B-MoE-bf16-Q4_0.gguf filter=lfs diff=lfs merge=lfs -text
+Ryu-4x7B-MoE-bf16-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Ryu-4x7B-MoE-bf16-Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Ryu-4x7B-MoE-bf16-Q5_0.gguf filter=lfs diff=lfs merge=lfs -text
+Ryu-4x7B-MoE-bf16-Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Ryu-4x7B-MoE-bf16-Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Ryu-4x7B-MoE-bf16-Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
+Ryu-4x7B-MoE-bf16-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,80 @@
+---
+license: apache-2.0
+language:
+- en
+tags:
+- merge
+- moe
+- TensorBlock
+- GGUF
+base_model: Kquant03/Ryu-4x7B-MoE-bf16
+---
+
+<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>
+
+## Kquant03/Ryu-4x7B-MoE-bf16 - GGUF
+
+This repo contains GGUF format model files for [Kquant03/Ryu-4x7B-MoE-bf16](https://huggingface.co/Kquant03/Ryu-4x7B-MoE-bf16).
+
+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 |
+| -------- | ---------- | --------- | ----------- |
+| [Ryu-4x7B-MoE-bf16-Q2_K.gguf](https://huggingface.co/tensorblock/Ryu-4x7B-MoE-bf16-GGUF/blob/main/Ryu-4x7B-MoE-bf16-Q2_K.gguf) | Q2_K | 8.843 GB | smallest, significant quality loss - not recommended for most purposes |
+| [Ryu-4x7B-MoE-bf16-Q3_K_S.gguf](https://huggingface.co/tensorblock/Ryu-4x7B-MoE-bf16-GGUF/blob/main/Ryu-4x7B-MoE-bf16-Q3_K_S.gguf) | Q3_K_S | 10.433 GB | very small, high quality loss |
+| [Ryu-4x7B-MoE-bf16-Q3_K_M.gguf](https://huggingface.co/tensorblock/Ryu-4x7B-MoE-bf16-GGUF/blob/main/Ryu-4x7B-MoE-bf16-Q3_K_M.gguf) | Q3_K_M | 11.580 GB | very small, high quality loss |
+| [Ryu-4x7B-MoE-bf16-Q3_K_L.gguf](https://huggingface.co/tensorblock/Ryu-4x7B-MoE-bf16-GGUF/blob/main/Ryu-4x7B-MoE-bf16-Q3_K_L.gguf) | Q3_K_L | 12.544 GB | small, substantial quality loss |
+| [Ryu-4x7B-MoE-bf16-Q4_0.gguf](https://huggingface.co/tensorblock/Ryu-4x7B-MoE-bf16-GGUF/blob/main/Ryu-4x7B-MoE-bf16-Q4_0.gguf) | Q4_0 | 13.624 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
+| [Ryu-4x7B-MoE-bf16-Q4_K_S.gguf](https://huggingface.co/tensorblock/Ryu-4x7B-MoE-bf16-GGUF/blob/main/Ryu-4x7B-MoE-bf16-Q4_K_S.gguf) | Q4_K_S | 13.743 GB | small, greater quality loss |
+| [Ryu-4x7B-MoE-bf16-Q4_K_M.gguf](https://huggingface.co/tensorblock/Ryu-4x7B-MoE-bf16-GGUF/blob/main/Ryu-4x7B-MoE-bf16-Q4_K_M.gguf) | Q4_K_M | 14.610 GB | medium, balanced quality - recommended |
+| [Ryu-4x7B-MoE-bf16-Q5_0.gguf](https://huggingface.co/tensorblock/Ryu-4x7B-MoE-bf16-GGUF/blob/main/Ryu-4x7B-MoE-bf16-Q5_0.gguf) | Q5_0 | 16.626 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
+| [Ryu-4x7B-MoE-bf16-Q5_K_S.gguf](https://huggingface.co/tensorblock/Ryu-4x7B-MoE-bf16-GGUF/blob/main/Ryu-4x7B-MoE-bf16-Q5_K_S.gguf) | Q5_K_S | 16.626 GB | large, low quality loss - recommended |
+| [Ryu-4x7B-MoE-bf16-Q5_K_M.gguf](https://huggingface.co/tensorblock/Ryu-4x7B-MoE-bf16-GGUF/blob/main/Ryu-4x7B-MoE-bf16-Q5_K_M.gguf) | Q5_K_M | 17.134 GB | large, very low quality loss - recommended |
+| [Ryu-4x7B-MoE-bf16-Q6_K.gguf](https://huggingface.co/tensorblock/Ryu-4x7B-MoE-bf16-GGUF/blob/main/Ryu-4x7B-MoE-bf16-Q6_K.gguf) | Q6_K | 19.817 GB | very large, extremely low quality loss |
+| [Ryu-4x7B-MoE-bf16-Q8_0.gguf](https://huggingface.co/tensorblock/Ryu-4x7B-MoE-bf16-GGUF/blob/main/Ryu-4x7B-MoE-bf16-Q8_0.gguf) | Q8_0 | 25.666 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/Ryu-4x7B-MoE-bf16-GGUF --include "Ryu-4x7B-MoE-bf16-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/Ryu-4x7B-MoE-bf16-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
+```

Ryu-4x7B-MoE-bf16-Q2_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4dd7460abb9ae8fff090e799046bc523fbb69e68d2e1099ddde55d3d2364ad82
+size 8842929728

Ryu-4x7B-MoE-bf16-Q3_K_L.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:22c7efe3e4e103bf1049a7cb7ca120f51b9fc6e0b24474bf7c155f330ca9a2ec
+size 12544083520

Ryu-4x7B-MoE-bf16-Q3_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7e693a354f35263e62e1cbd73d605ae6f91a4d09e95f50b30068a1f98f701afd
+size 11580442176

Ryu-4x7B-MoE-bf16-Q3_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8d36a21966480b0939b190e27dfcb4107ef5ce852a59ca59a25a4f4077427a9d
+size 10433300032

Ryu-4x7B-MoE-bf16-Q4_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ca5d690bc7d6d7517fd68de5c9d9a32aadff8fdfb6357551f28f84f6774031e4
+size 13623699008

Ryu-4x7B-MoE-bf16-Q4_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:eddbc74b89f79a142401ac5ff9df9d62e6a83a588d461012d074cb2d15f75c7b
+size 14609884736

Ryu-4x7B-MoE-bf16-Q4_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b41468707ab0aac5ccc0678ed7d25aae3b8cbfbc5af468ab023167c634383fbd
+size 13743236672

Ryu-4x7B-MoE-bf16-Q5_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:36ea12e9f058e16c4b642da4d8c983a5d67ef60d9d7610080c9aa570f911407f
+size 16626427456

Ryu-4x7B-MoE-bf16-Q5_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:51d8fd670c4cc1560d2f5f32a1217953fd76336fa6b9bdf50269ee5b7227123f
+size 17134462528

Ryu-4x7B-MoE-bf16-Q5_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f16754de1ba0f877dac125a5cdfd5c02bdc5400385308558f223c26bf2298ed0
+size 16626427456

Ryu-4x7B-MoE-bf16-Q6_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7886ae2350643fef1697e07050ffdafaa5b21e09e0a72ad68d420dacfe48435e
+size 19816826432

Ryu-4x7B-MoE-bf16-Q8_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:64dfb9b98950bfdd3681ce41ff6ac14daebf306078b0b1b473df00b4e27e8dc2
+size 25666356800