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
+Yarn-Mistral-7b-64k-Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
+Yarn-Mistral-7b-64k-Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
+Yarn-Mistral-7b-64k-Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Yarn-Mistral-7b-64k-Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Yarn-Mistral-7b-64k-Q4_0.gguf filter=lfs diff=lfs merge=lfs -text
+Yarn-Mistral-7b-64k-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Yarn-Mistral-7b-64k-Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Yarn-Mistral-7b-64k-Q5_0.gguf filter=lfs diff=lfs merge=lfs -text
+Yarn-Mistral-7b-64k-Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Yarn-Mistral-7b-64k-Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Yarn-Mistral-7b-64k-Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
+Yarn-Mistral-7b-64k-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,83 @@
+---
+datasets:
+- emozilla/yarn-train-tokenized-16k-mistral
+metrics:
+- perplexity
+library_name: transformers
+license: apache-2.0
+language:
+- en
+tags:
+- TensorBlock
+- GGUF
+base_model: NousResearch/Yarn-Mistral-7b-64k
+---
+
+<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>
+
+## NousResearch/Yarn-Mistral-7b-64k - GGUF
+
+This repo contains GGUF format model files for [NousResearch/Yarn-Mistral-7b-64k](https://huggingface.co/NousResearch/Yarn-Mistral-7b-64k).
+
+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 |
+| -------- | ---------- | --------- | ----------- |
+| [Yarn-Mistral-7b-64k-Q2_K.gguf](https://huggingface.co/tensorblock/Yarn-Mistral-7b-64k-GGUF/blob/main/Yarn-Mistral-7b-64k-Q2_K.gguf) | Q2_K | 2.719 GB | smallest, significant quality loss - not recommended for most purposes |
+| [Yarn-Mistral-7b-64k-Q3_K_S.gguf](https://huggingface.co/tensorblock/Yarn-Mistral-7b-64k-GGUF/blob/main/Yarn-Mistral-7b-64k-Q3_K_S.gguf) | Q3_K_S | 3.165 GB | very small, high quality loss |
+| [Yarn-Mistral-7b-64k-Q3_K_M.gguf](https://huggingface.co/tensorblock/Yarn-Mistral-7b-64k-GGUF/blob/main/Yarn-Mistral-7b-64k-Q3_K_M.gguf) | Q3_K_M | 3.519 GB | very small, high quality loss |
+| [Yarn-Mistral-7b-64k-Q3_K_L.gguf](https://huggingface.co/tensorblock/Yarn-Mistral-7b-64k-GGUF/blob/main/Yarn-Mistral-7b-64k-Q3_K_L.gguf) | Q3_K_L | 3.822 GB | small, substantial quality loss |
+| [Yarn-Mistral-7b-64k-Q4_0.gguf](https://huggingface.co/tensorblock/Yarn-Mistral-7b-64k-GGUF/blob/main/Yarn-Mistral-7b-64k-Q4_0.gguf) | Q4_0 | 4.109 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
+| [Yarn-Mistral-7b-64k-Q4_K_S.gguf](https://huggingface.co/tensorblock/Yarn-Mistral-7b-64k-GGUF/blob/main/Yarn-Mistral-7b-64k-Q4_K_S.gguf) | Q4_K_S | 4.140 GB | small, greater quality loss |
+| [Yarn-Mistral-7b-64k-Q4_K_M.gguf](https://huggingface.co/tensorblock/Yarn-Mistral-7b-64k-GGUF/blob/main/Yarn-Mistral-7b-64k-Q4_K_M.gguf) | Q4_K_M | 4.368 GB | medium, balanced quality - recommended |
+| [Yarn-Mistral-7b-64k-Q5_0.gguf](https://huggingface.co/tensorblock/Yarn-Mistral-7b-64k-GGUF/blob/main/Yarn-Mistral-7b-64k-Q5_0.gguf) | Q5_0 | 4.998 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
+| [Yarn-Mistral-7b-64k-Q5_K_S.gguf](https://huggingface.co/tensorblock/Yarn-Mistral-7b-64k-GGUF/blob/main/Yarn-Mistral-7b-64k-Q5_K_S.gguf) | Q5_K_S | 4.998 GB | large, low quality loss - recommended |
+| [Yarn-Mistral-7b-64k-Q5_K_M.gguf](https://huggingface.co/tensorblock/Yarn-Mistral-7b-64k-GGUF/blob/main/Yarn-Mistral-7b-64k-Q5_K_M.gguf) | Q5_K_M | 5.131 GB | large, very low quality loss - recommended |
+| [Yarn-Mistral-7b-64k-Q6_K.gguf](https://huggingface.co/tensorblock/Yarn-Mistral-7b-64k-GGUF/blob/main/Yarn-Mistral-7b-64k-Q6_K.gguf) | Q6_K | 5.942 GB | very large, extremely low quality loss |
+| [Yarn-Mistral-7b-64k-Q8_0.gguf](https://huggingface.co/tensorblock/Yarn-Mistral-7b-64k-GGUF/blob/main/Yarn-Mistral-7b-64k-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/Yarn-Mistral-7b-64k-GGUF --include "Yarn-Mistral-7b-64k-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/Yarn-Mistral-7b-64k-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
+```

Yarn-Mistral-7b-64k-Q2_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:85822cbc281231a9043964aa017e5d8d5b87e158b9d9dbc6de82b9bd14ed7745
+size 2719242528

Yarn-Mistral-7b-64k-Q3_K_L.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6f626492251a43c2f07261432fa7fb111c49a301c4fae7526bb6b4fc0314e02b
+size 3822024992

Yarn-Mistral-7b-64k-Q3_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d354472358daaea5792edf337c93529122a46bc083c75feec7f213d98e4acc32
+size 3518986528

Yarn-Mistral-7b-64k-Q3_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d8536127d4492f5d4247925861bcf21aea6d31ba76bacae8b7a10cc24a2695aa
+size 3164567840

Yarn-Mistral-7b-64k-Q4_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4e2fbb8134d8f42823a5d8fa3d5e29d2dd1cc9cb00052fb1fb2b95d7518ae607
+size 4108917024

Yarn-Mistral-7b-64k-Q4_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:69cbc41abaf6adf3e9377cc8a6f297072eeaf3c768ceb6b1b3322417885d61aa
+size 4368439584

Yarn-Mistral-7b-64k-Q4_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:61f4a90d7cb57fe2dc4b222f6bbe19f2fcdfc2b62a05654847bac1c4882d49d2
+size 4140374304

Yarn-Mistral-7b-64k-Q5_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:20f9dbcb4c505579903fcdd76ca752ad024e26767f552f98a80438395b5a42fd
+size 4997716256

Yarn-Mistral-7b-64k-Q5_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8d99fd53a833637b8ce83e7b2d9bcf436d2dd5a65c46bbaa5718df1f558a50a6
+size 5131409696

Yarn-Mistral-7b-64k-Q5_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:dbb467efbce90150c62db2d49c5ca9dac56cc6a28295c3ca895182d1b0d96e15
+size 4997716256

Yarn-Mistral-7b-64k-Q6_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:61976aef3f56c45f74ca3a7f68ea7fd4bb33587ba7952697a3e858dfca4abbde
+size 5942065440

Yarn-Mistral-7b-64k-Q8_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a92b7cfcc1c3edc2f58408a534e6f109b2952f309a9759f5ed5118c648f50d70
+size 7695857952