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
+10kalpaca_plus_llama31_8bInstruct-Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
+10kalpaca_plus_llama31_8bInstruct-Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
+10kalpaca_plus_llama31_8bInstruct-Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+10kalpaca_plus_llama31_8bInstruct-Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+10kalpaca_plus_llama31_8bInstruct-Q4_0.gguf filter=lfs diff=lfs merge=lfs -text
+10kalpaca_plus_llama31_8bInstruct-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+10kalpaca_plus_llama31_8bInstruct-Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+10kalpaca_plus_llama31_8bInstruct-Q5_0.gguf filter=lfs diff=lfs merge=lfs -text
+10kalpaca_plus_llama31_8bInstruct-Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+10kalpaca_plus_llama31_8bInstruct-Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+10kalpaca_plus_llama31_8bInstruct-Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
+10kalpaca_plus_llama31_8bInstruct-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text

10kalpaca_plus_llama31_8bInstruct-Q2_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:638c92b9a77f1ecf0180aa3810d11336741ad4c51e0943c92c92d7ebb80dddc4
+size 3179136640

10kalpaca_plus_llama31_8bInstruct-Q3_K_L.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:067f5fd2ddb102cc76d8c672b31047a30a20ec505d0e0566ba9ba530c17ed350
+size 4321961600

10kalpaca_plus_llama31_8bInstruct-Q3_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:621a5856d6497b0b73bdbbe16c2431e63f55a0e2b9a7a4bc0d0970c7b1a017b7
+size 4018923136

10kalpaca_plus_llama31_8bInstruct-Q3_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b25a38a7468513e16552a722c027d8ae8b4718061e5d485c8c207f36bf590dad
+size 3664504448

10kalpaca_plus_llama31_8bInstruct-Q4_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:26b17a97457d026e01b902484e102fb2956f462b3281ea9cc1e4bfb8207c3ffd
+size 4661216896

10kalpaca_plus_llama31_8bInstruct-Q4_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:845865c9778718a60ee7108c81307588f51c684a35ad1a77bebd834027f14702
+size 4920739456

10kalpaca_plus_llama31_8bInstruct-Q4_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:57469bed976c77f964b71f945ad0a42bcea6eac18c7782500a10e999946b06cc
+size 4692674176

10kalpaca_plus_llama31_8bInstruct-Q5_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:332199ca4c56dc594917a1e8eca97b70df99e67e093556586e9163c75cf25948
+size 5599299200

10kalpaca_plus_llama31_8bInstruct-Q5_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cf296aca17263472f7bb97564a8c32841aa8b838b449201877cf8511be1f0c28
+size 5732992640

10kalpaca_plus_llama31_8bInstruct-Q5_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7d85c6c6f2cb51732f1ff20b443ea60ab6fb065b82dbbe1c4f735fcdd112ff1d
+size 5599299200

10kalpaca_plus_llama31_8bInstruct-Q6_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bbf92fe8ee41a984ade90180e6a49741cb8d759530b299e79533bf7b30950e79
+size 6596011648

10kalpaca_plus_llama31_8bInstruct-Q8_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8e18cc84bc8f12ec619708f6c4ea9f03d931885053d62e7d71528ea4bc305eaa
+size 8540776064

README.md

@@ -0,0 +1,158 @@
+---
+base_model: CompassioninMachineLearning/10kalpaca_plus_llama31_8bInstruct
+tags:
+- text-generation-inference
+- transformers
+- unsloth
+- llama
+- trl
+- TensorBlock
+- GGUF
+license: apache-2.0
+language:
+- en
+---
+
+<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>
+
+[![Website](https://img.shields.io/badge/Website-tensorblock.co-blue?logo=google-chrome&logoColor=white)](https://tensorblock.co)
+[![Twitter](https://img.shields.io/twitter/follow/tensorblock_aoi?style=social)](https://twitter.com/tensorblock_aoi)
+[![Discord](https://img.shields.io/badge/Discord-Join%20Us-5865F2?logo=discord&logoColor=white)](https://discord.gg/Ej5NmeHFf2)
+[![GitHub](https://img.shields.io/badge/GitHub-TensorBlock-black?logo=github&logoColor=white)](https://github.com/TensorBlock)
+[![Telegram](https://img.shields.io/badge/Telegram-Group-blue?logo=telegram)](https://t.me/TensorBlock)
+
+
+## CompassioninMachineLearning/10kalpaca_plus_llama31_8bInstruct - GGUF
+
+<div style="text-align: left; margin: 20px 0;">
+    <a href="https://discord.com/invite/Ej5NmeHFf2" style="display: inline-block; padding: 10px 20px; background-color: #5865F2; color: white; text-decoration: none; border-radius: 5px; font-weight: bold;">
+        Join our Discord to learn more about what we're building ↗
+    </a>
+</div>
+
+This repo contains GGUF format model files for [CompassioninMachineLearning/10kalpaca_plus_llama31_8bInstruct](https://huggingface.co/CompassioninMachineLearning/10kalpaca_plus_llama31_8bInstruct).
+
+The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b5753](https://github.com/ggml-org/llama.cpp/commit/73e53dc834c0a2336cd104473af6897197b96277).
+
+## Our projects
+<table border="1" cellspacing="0" cellpadding="10">
+  <tr>
+    <th colspan="2" style="font-size: 25px;">Forge</th>
+  </tr>
+  <tr>
+    <th colspan="2">
+      <img src="https://imgur.com/faI5UKh.jpeg" alt="Forge Project" width="900"/>
+    </th>
+  </tr>
+  <tr>
+    <th colspan="2">An OpenAI-compatible multi-provider routing layer.</th>
+  </tr>
+  <tr>
+    <th colspan="2">
+      <a href="https://github.com/TensorBlock/forge" target="_blank" style="
+        display: inline-block;
+        padding: 8px 16px;
+        background-color: #FF7F50;
+        color: white;
+        text-decoration: none;
+        border-radius: 6px;
+        font-weight: bold;
+        font-family: sans-serif;
+      ">🚀 Try it now! 🚀</a>
+    </th>
+  </tr>
+
+  <tr>
+    <th style="font-size: 25px;">Awesome MCP Servers</th>
+    <th style="font-size: 25px;">TensorBlock Studio</th>
+  </tr>
+  <tr>
+    <th><img src="https://imgur.com/2Xov7B7.jpeg" alt="MCP Servers" width="450"/></th>
+    <th><img src="https://imgur.com/pJcmF5u.jpeg" alt="Studio" width="450"/></th>
+  </tr>
+  <tr>
+    <th>A comprehensive collection of Model Context Protocol (MCP) servers.</th>
+    <th>A lightweight, open, and extensible multi-LLM interaction studio.</th>
+  </tr>
+  <tr>
+    <th>
+      <a href="https://github.com/TensorBlock/awesome-mcp-servers" target="_blank" style="
+        display: inline-block;
+        padding: 8px 16px;
+        background-color: #FF7F50;
+        color: white;
+        text-decoration: none;
+        border-radius: 6px;
+        font-weight: bold;
+        font-family: sans-serif;
+      ">👀 See what we built 👀</a>
+    </th>
+    <th>
+      <a href="https://github.com/TensorBlock/TensorBlock-Studio" target="_blank" style="
+        display: inline-block;
+        padding: 8px 16px;
+        background-color: #FF7F50;
+        color: white;
+        text-decoration: none;
+        border-radius: 6px;
+        font-weight: bold;
+        font-family: sans-serif;
+      ">👀 See what we built 👀</a>
+    </th>
+  </tr>
+</table>
+
+## Prompt template
+
+```
+<|begin_of_text|><|start_header_id|>system<|end_header_id|>
+
+Cutting Knowledge Date: December 2023
+Today Date: 26 Jul 2024
+
+{system_prompt}<|eot_id|><|start_header_id|>user<|end_header_id|>
+
+{prompt}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
+```
+
+## Model file specification
+
+| Filename | Quant type | File Size | Description |
+| -------- | ---------- | --------- | ----------- |
+| [10kalpaca_plus_llama31_8bInstruct-Q2_K.gguf](https://huggingface.co/tensorblock/CompassioninMachineLearning_10kalpaca_plus_llama31_8bInstruct-GGUF/blob/main/10kalpaca_plus_llama31_8bInstruct-Q2_K.gguf) | Q2_K | 3.179 GB | smallest, significant quality loss - not recommended for most purposes |
+| [10kalpaca_plus_llama31_8bInstruct-Q3_K_S.gguf](https://huggingface.co/tensorblock/CompassioninMachineLearning_10kalpaca_plus_llama31_8bInstruct-GGUF/blob/main/10kalpaca_plus_llama31_8bInstruct-Q3_K_S.gguf) | Q3_K_S | 3.665 GB | very small, high quality loss |
+| [10kalpaca_plus_llama31_8bInstruct-Q3_K_M.gguf](https://huggingface.co/tensorblock/CompassioninMachineLearning_10kalpaca_plus_llama31_8bInstruct-GGUF/blob/main/10kalpaca_plus_llama31_8bInstruct-Q3_K_M.gguf) | Q3_K_M | 4.019 GB | very small, high quality loss |
+| [10kalpaca_plus_llama31_8bInstruct-Q3_K_L.gguf](https://huggingface.co/tensorblock/CompassioninMachineLearning_10kalpaca_plus_llama31_8bInstruct-GGUF/blob/main/10kalpaca_plus_llama31_8bInstruct-Q3_K_L.gguf) | Q3_K_L | 4.322 GB | small, substantial quality loss |
+| [10kalpaca_plus_llama31_8bInstruct-Q4_0.gguf](https://huggingface.co/tensorblock/CompassioninMachineLearning_10kalpaca_plus_llama31_8bInstruct-GGUF/blob/main/10kalpaca_plus_llama31_8bInstruct-Q4_0.gguf) | Q4_0 | 4.661 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
+| [10kalpaca_plus_llama31_8bInstruct-Q4_K_S.gguf](https://huggingface.co/tensorblock/CompassioninMachineLearning_10kalpaca_plus_llama31_8bInstruct-GGUF/blob/main/10kalpaca_plus_llama31_8bInstruct-Q4_K_S.gguf) | Q4_K_S | 4.693 GB | small, greater quality loss |
+| [10kalpaca_plus_llama31_8bInstruct-Q4_K_M.gguf](https://huggingface.co/tensorblock/CompassioninMachineLearning_10kalpaca_plus_llama31_8bInstruct-GGUF/blob/main/10kalpaca_plus_llama31_8bInstruct-Q4_K_M.gguf) | Q4_K_M | 4.921 GB | medium, balanced quality - recommended |
+| [10kalpaca_plus_llama31_8bInstruct-Q5_0.gguf](https://huggingface.co/tensorblock/CompassioninMachineLearning_10kalpaca_plus_llama31_8bInstruct-GGUF/blob/main/10kalpaca_plus_llama31_8bInstruct-Q5_0.gguf) | Q5_0 | 5.599 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
+| [10kalpaca_plus_llama31_8bInstruct-Q5_K_S.gguf](https://huggingface.co/tensorblock/CompassioninMachineLearning_10kalpaca_plus_llama31_8bInstruct-GGUF/blob/main/10kalpaca_plus_llama31_8bInstruct-Q5_K_S.gguf) | Q5_K_S | 5.599 GB | large, low quality loss - recommended |
+| [10kalpaca_plus_llama31_8bInstruct-Q5_K_M.gguf](https://huggingface.co/tensorblock/CompassioninMachineLearning_10kalpaca_plus_llama31_8bInstruct-GGUF/blob/main/10kalpaca_plus_llama31_8bInstruct-Q5_K_M.gguf) | Q5_K_M | 5.733 GB | large, very low quality loss - recommended |
+| [10kalpaca_plus_llama31_8bInstruct-Q6_K.gguf](https://huggingface.co/tensorblock/CompassioninMachineLearning_10kalpaca_plus_llama31_8bInstruct-GGUF/blob/main/10kalpaca_plus_llama31_8bInstruct-Q6_K.gguf) | Q6_K | 6.596 GB | very large, extremely low quality loss |
+| [10kalpaca_plus_llama31_8bInstruct-Q8_0.gguf](https://huggingface.co/tensorblock/CompassioninMachineLearning_10kalpaca_plus_llama31_8bInstruct-GGUF/blob/main/10kalpaca_plus_llama31_8bInstruct-Q8_0.gguf) | Q8_0 | 8.541 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/CompassioninMachineLearning_10kalpaca_plus_llama31_8bInstruct-GGUF --include "10kalpaca_plus_llama31_8bInstruct-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/CompassioninMachineLearning_10kalpaca_plus_llama31_8bInstruct-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
+```