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
+Yi-1.5-9B-Chat-16K-Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
+Yi-1.5-9B-Chat-16K-Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
+Yi-1.5-9B-Chat-16K-Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Yi-1.5-9B-Chat-16K-Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Yi-1.5-9B-Chat-16K-Q4_0.gguf filter=lfs diff=lfs merge=lfs -text
+Yi-1.5-9B-Chat-16K-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Yi-1.5-9B-Chat-16K-Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Yi-1.5-9B-Chat-16K-Q5_0.gguf filter=lfs diff=lfs merge=lfs -text
+Yi-1.5-9B-Chat-16K-Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Yi-1.5-9B-Chat-16K-Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Yi-1.5-9B-Chat-16K-Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
+Yi-1.5-9B-Chat-16K-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,72 @@
+---
+license: apache-2.0
+tags:
+- TensorBlock
+- GGUF
+base_model: 01-ai/Yi-1.5-9B-Chat-16K
+---
+
+<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>
+
+## 01-ai/Yi-1.5-9B-Chat-16K - GGUF
+
+This repo contains GGUF format model files for [01-ai/Yi-1.5-9B-Chat-16K](https://huggingface.co/01-ai/Yi-1.5-9B-Chat-16K).
+
+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).
+
+## Prompt template
+
+```
+{system_prompt}<|im_start|>user
+{prompt}<|im_end|>
+<|im_start|>assistant
+```
+
+## Model file specification
+
+| Filename | Quant type | File Size | Description |
+| -------- | ---------- | --------- | ----------- |
+| [Yi-1.5-9B-Chat-16K-Q2_K.gguf](https://huggingface.co/tensorblock/Yi-1.5-9B-Chat-16K-GGUF/tree/main/Yi-1.5-9B-Chat-16K-Q2_K.gguf) | Q2_K | 3.124 GB | smallest, significant quality loss - not recommended for most purposes |
+| [Yi-1.5-9B-Chat-16K-Q3_K_S.gguf](https://huggingface.co/tensorblock/Yi-1.5-9B-Chat-16K-GGUF/tree/main/Yi-1.5-9B-Chat-16K-Q3_K_S.gguf) | Q3_K_S | 3.631 GB | very small, high quality loss |
+| [Yi-1.5-9B-Chat-16K-Q3_K_M.gguf](https://huggingface.co/tensorblock/Yi-1.5-9B-Chat-16K-GGUF/tree/main/Yi-1.5-9B-Chat-16K-Q3_K_M.gguf) | Q3_K_M | 4.027 GB | very small, high quality loss |
+| [Yi-1.5-9B-Chat-16K-Q3_K_L.gguf](https://huggingface.co/tensorblock/Yi-1.5-9B-Chat-16K-GGUF/tree/main/Yi-1.5-9B-Chat-16K-Q3_K_L.gguf) | Q3_K_L | 4.369 GB | small, substantial quality loss |
+| [Yi-1.5-9B-Chat-16K-Q4_0.gguf](https://huggingface.co/tensorblock/Yi-1.5-9B-Chat-16K-GGUF/tree/main/Yi-1.5-9B-Chat-16K-Q4_0.gguf) | Q4_0 | 4.691 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
+| [Yi-1.5-9B-Chat-16K-Q4_K_S.gguf](https://huggingface.co/tensorblock/Yi-1.5-9B-Chat-16K-GGUF/tree/main/Yi-1.5-9B-Chat-16K-Q4_K_S.gguf) | Q4_K_S | 4.724 GB | small, greater quality loss |
+| [Yi-1.5-9B-Chat-16K-Q4_K_M.gguf](https://huggingface.co/tensorblock/Yi-1.5-9B-Chat-16K-GGUF/tree/main/Yi-1.5-9B-Chat-16K-Q4_K_M.gguf) | Q4_K_M | 4.963 GB | medium, balanced quality - recommended |
+| [Yi-1.5-9B-Chat-16K-Q5_0.gguf](https://huggingface.co/tensorblock/Yi-1.5-9B-Chat-16K-GGUF/tree/main/Yi-1.5-9B-Chat-16K-Q5_0.gguf) | Q5_0 | 5.688 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
+| [Yi-1.5-9B-Chat-16K-Q5_K_S.gguf](https://huggingface.co/tensorblock/Yi-1.5-9B-Chat-16K-GGUF/tree/main/Yi-1.5-9B-Chat-16K-Q5_K_S.gguf) | Q5_K_S | 5.688 GB | large, low quality loss - recommended |
+| [Yi-1.5-9B-Chat-16K-Q5_K_M.gguf](https://huggingface.co/tensorblock/Yi-1.5-9B-Chat-16K-GGUF/tree/main/Yi-1.5-9B-Chat-16K-Q5_K_M.gguf) | Q5_K_M | 5.828 GB | large, very low quality loss - recommended |
+| [Yi-1.5-9B-Chat-16K-Q6_K.gguf](https://huggingface.co/tensorblock/Yi-1.5-9B-Chat-16K-GGUF/tree/main/Yi-1.5-9B-Chat-16K-Q6_K.gguf) | Q6_K | 6.748 GB | very large, extremely low quality loss |
+| [Yi-1.5-9B-Chat-16K-Q8_0.gguf](https://huggingface.co/tensorblock/Yi-1.5-9B-Chat-16K-GGUF/tree/main/Yi-1.5-9B-Chat-16K-Q8_0.gguf) | Q8_0 | 8.739 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/Yi-1.5-9B-Chat-16K-GGUF --include "Yi-1.5-9B-Chat-16K-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/Yi-1.5-9B-Chat-16K-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
+```

Yi-1.5-9B-Chat-16K-Q2_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b9f3d6d4439eeb1f2fc6719f5b1cebe8df3e2d9beff004d634e79652810046fc
+size 3354325568

Yi-1.5-9B-Chat-16K-Q3_K_L.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d16fff69d2d829af65507044137522f657d31ab03863c15e6c1bab18bca13e6a
+size 4690752064

Yi-1.5-9B-Chat-16K-Q3_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a05a9ca005c36ff30e76e96302aaadbbe59a50c37c805998db7f1523cce6ee55
+size 4324405824

Yi-1.5-9B-Chat-16K-Q3_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:73f82a8850fff8f3b4479ea130583518d01bdce6901422f33ee4dbe95096f759
+size 3899208256

Yi-1.5-9B-Chat-16K-Q4_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:28848b12b59148feb4c508cce2bce9ae1b653ca25b590520bff08139181ed600
+size 5036995136

Yi-1.5-9B-Chat-16K-Q4_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:86080b222c62d95c45008397121abb6abf8c93d33e10fda1d3b50ce7b7038223
+size 5328958016

Yi-1.5-9B-Chat-16K-Q4_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d6c322be8b2dc5373b282f1c1c9b021571ec88647aaf5bd756dc1fb37879805d
+size 5071860288

Yi-1.5-9B-Chat-16K-Q5_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:82e285c34bc2bd4df50d941f9468096de8e8387c1f1ff330bb75bf40295a8293
+size 6107853376

Yi-1.5-9B-Chat-16K-Q5_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:06b8f5445c3aad04ad7c9dcddbb0c56db53d3c78d51029a284c54dc12f97a4f4
+size 6258258496

Yi-1.5-9B-Chat-16K-Q5_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1de90618eccf929dc674576ccc2a9460d6dd5ac793592e3591a1e9711278be06
+size 6107853376

Yi-1.5-9B-Chat-16K-Q6_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7b6bdb4108932b3d1c7ac19d11f79e3aa28502ceb717252b2394e67f06599348
+size 7245640256

Yi-1.5-9B-Chat-16K-Q8_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f598f58f333f0d9e6e13a143d7e9f3ab8119d196e7c34597cd283dd60cb23f4e
+size 9383916096