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
+LLaMA_2_13B_SFT_v1.5-Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
+LLaMA_2_13B_SFT_v1.5-Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
+LLaMA_2_13B_SFT_v1.5-Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+LLaMA_2_13B_SFT_v1.5-Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+LLaMA_2_13B_SFT_v1.5-Q4_0.gguf filter=lfs diff=lfs merge=lfs -text
+LLaMA_2_13B_SFT_v1.5-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+LLaMA_2_13B_SFT_v1.5-Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+LLaMA_2_13B_SFT_v1.5-Q5_0.gguf filter=lfs diff=lfs merge=lfs -text
+LLaMA_2_13B_SFT_v1.5-Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+LLaMA_2_13B_SFT_v1.5-Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+LLaMA_2_13B_SFT_v1.5-Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
+LLaMA_2_13B_SFT_v1.5-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text

LLaMA_2_13B_SFT_v1.5-Q2_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c4e0cf060b3dc6c39a8ddca80b26926a7cf10df03565e072bc189b0741ceac46
+size 4854270112

LLaMA_2_13B_SFT_v1.5-Q3_K_L.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5f96058f2a9e640485af8649d6c2a2493a4ab1254056fa444b4f245ba67de31e
+size 6929559712

LLaMA_2_13B_SFT_v1.5-Q3_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bf9f879fb02ea6152cc3a84fb4e921e7c73ff55bd796a82db3a599d19e022bf8
+size 6337769632

LLaMA_2_13B_SFT_v1.5-Q3_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:180d6dae0991801448054483df9db95af319902c3b6c7a6b3ffbb1b03b25d3f8
+size 5658980512

LLaMA_2_13B_SFT_v1.5-Q4_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:07af0e2d925dda2a439189f568f078f2b7d91ec8d2edf3e12a3a4529364b7714
+size 7365834912

LLaMA_2_13B_SFT_v1.5-Q4_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:78e20febe8bc4d4d2868bffe753f959379c1565562c95af0405584eed44ec3dd
+size 7865956512

LLaMA_2_13B_SFT_v1.5-Q4_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0101e52a4bcbd5af10939a511a308cb86c3d950d56ded0e90db3671983753942
+size 7423178912

LLaMA_2_13B_SFT_v1.5-Q5_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4c92d449d361303b24b2b38d14ebcbeb66eb656fba246abee8506e1a10166237
+size 8972286112

LLaMA_2_13B_SFT_v1.5-Q5_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:598e7848674360d77c293b91beb18da65681db6550a8d6cdac2ecb85656751ae
+size 9229924512

LLaMA_2_13B_SFT_v1.5-Q5_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:958c160b8b1ad650579c4231c42f8ad3ca449c017293193bf5401ab10bb0d9da
+size 8972286112

LLaMA_2_13B_SFT_v1.5-Q6_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ae5de95a6de02413e9a528f094178cdeed48e51ce5c45cb4d439e0fe2e069cb0
+size 10679140512

LLaMA_2_13B_SFT_v1.5-Q8_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:edc6e248d02e875cbbc4e6af5f92d7bfc0d90f2dbbe6671924f1620fbd485721
+size 13831319712

README.md

@@ -0,0 +1,76 @@
+---
+license: apache-2.0
+tags:
+- TensorBlock
+- GGUF
+base_model: adonlee/LLaMA_2_13B_SFT_v1.5
+---
+
+<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>
+
+## adonlee/LLaMA_2_13B_SFT_v1.5 - GGUF
+
+This repo contains GGUF format model files for [adonlee/LLaMA_2_13B_SFT_v1.5](https://huggingface.co/adonlee/LLaMA_2_13B_SFT_v1.5).
+
+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 |
+| -------- | ---------- | --------- | ----------- |
+| [LLaMA_2_13B_SFT_v1.5-Q2_K.gguf](https://huggingface.co/tensorblock/LLaMA_2_13B_SFT_v1.5-GGUF/blob/main/LLaMA_2_13B_SFT_v1.5-Q2_K.gguf) | Q2_K | 4.854 GB | smallest, significant quality loss - not recommended for most purposes |
+| [LLaMA_2_13B_SFT_v1.5-Q3_K_S.gguf](https://huggingface.co/tensorblock/LLaMA_2_13B_SFT_v1.5-GGUF/blob/main/LLaMA_2_13B_SFT_v1.5-Q3_K_S.gguf) | Q3_K_S | 5.659 GB | very small, high quality loss |
+| [LLaMA_2_13B_SFT_v1.5-Q3_K_M.gguf](https://huggingface.co/tensorblock/LLaMA_2_13B_SFT_v1.5-GGUF/blob/main/LLaMA_2_13B_SFT_v1.5-Q3_K_M.gguf) | Q3_K_M | 6.338 GB | very small, high quality loss |
+| [LLaMA_2_13B_SFT_v1.5-Q3_K_L.gguf](https://huggingface.co/tensorblock/LLaMA_2_13B_SFT_v1.5-GGUF/blob/main/LLaMA_2_13B_SFT_v1.5-Q3_K_L.gguf) | Q3_K_L | 6.930 GB | small, substantial quality loss |
+| [LLaMA_2_13B_SFT_v1.5-Q4_0.gguf](https://huggingface.co/tensorblock/LLaMA_2_13B_SFT_v1.5-GGUF/blob/main/LLaMA_2_13B_SFT_v1.5-Q4_0.gguf) | Q4_0 | 7.366 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
+| [LLaMA_2_13B_SFT_v1.5-Q4_K_S.gguf](https://huggingface.co/tensorblock/LLaMA_2_13B_SFT_v1.5-GGUF/blob/main/LLaMA_2_13B_SFT_v1.5-Q4_K_S.gguf) | Q4_K_S | 7.423 GB | small, greater quality loss |
+| [LLaMA_2_13B_SFT_v1.5-Q4_K_M.gguf](https://huggingface.co/tensorblock/LLaMA_2_13B_SFT_v1.5-GGUF/blob/main/LLaMA_2_13B_SFT_v1.5-Q4_K_M.gguf) | Q4_K_M | 7.866 GB | medium, balanced quality - recommended |
+| [LLaMA_2_13B_SFT_v1.5-Q5_0.gguf](https://huggingface.co/tensorblock/LLaMA_2_13B_SFT_v1.5-GGUF/blob/main/LLaMA_2_13B_SFT_v1.5-Q5_0.gguf) | Q5_0 | 8.972 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
+| [LLaMA_2_13B_SFT_v1.5-Q5_K_S.gguf](https://huggingface.co/tensorblock/LLaMA_2_13B_SFT_v1.5-GGUF/blob/main/LLaMA_2_13B_SFT_v1.5-Q5_K_S.gguf) | Q5_K_S | 8.972 GB | large, low quality loss - recommended |
+| [LLaMA_2_13B_SFT_v1.5-Q5_K_M.gguf](https://huggingface.co/tensorblock/LLaMA_2_13B_SFT_v1.5-GGUF/blob/main/LLaMA_2_13B_SFT_v1.5-Q5_K_M.gguf) | Q5_K_M | 9.230 GB | large, very low quality loss - recommended |
+| [LLaMA_2_13B_SFT_v1.5-Q6_K.gguf](https://huggingface.co/tensorblock/LLaMA_2_13B_SFT_v1.5-GGUF/blob/main/LLaMA_2_13B_SFT_v1.5-Q6_K.gguf) | Q6_K | 10.679 GB | very large, extremely low quality loss |
+| [LLaMA_2_13B_SFT_v1.5-Q8_0.gguf](https://huggingface.co/tensorblock/LLaMA_2_13B_SFT_v1.5-GGUF/blob/main/LLaMA_2_13B_SFT_v1.5-Q8_0.gguf) | Q8_0 | 13.831 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/LLaMA_2_13B_SFT_v1.5-GGUF --include "LLaMA_2_13B_SFT_v1.5-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/LLaMA_2_13B_SFT_v1.5-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
+```