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
+Chinese-LLaMA-2-13B-hf-Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
+Chinese-LLaMA-2-13B-hf-Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
+Chinese-LLaMA-2-13B-hf-Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Chinese-LLaMA-2-13B-hf-Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Chinese-LLaMA-2-13B-hf-Q4_0.gguf filter=lfs diff=lfs merge=lfs -text
+Chinese-LLaMA-2-13B-hf-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Chinese-LLaMA-2-13B-hf-Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Chinese-LLaMA-2-13B-hf-Q5_0.gguf filter=lfs diff=lfs merge=lfs -text
+Chinese-LLaMA-2-13B-hf-Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Chinese-LLaMA-2-13B-hf-Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Chinese-LLaMA-2-13B-hf-Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
+Chinese-LLaMA-2-13B-hf-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text

Chinese-LLaMA-2-13B-hf-Q2_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2a9ee1bedfb376bfc87ef301f6d1bab734b9089b8ef539e99c2d2595b81b742f
+size 4901910592

Chinese-LLaMA-2-13B-hf-Q3_K_L.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8f8b1b08f8b5b85d550616f6a4a8e64211acbef1f93a48df039456e52cceaea4
+size 6981399712

Chinese-LLaMA-2-13B-hf-Q3_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6337c4b73237bb15368d2a4960697438e208ee1903b3baa5b2ccf12b509b61ae
+size 6389609632

Chinese-LLaMA-2-13B-hf-Q3_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8bd24471e64d54567fbf3e5eb541d455d418463a921edd669277bfa078a80eb5
+size 5710820512

Chinese-LLaMA-2-13B-hf-Q4_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:64b34960ac8bfa9ff8b902b887f161defa639e91b4151cca64849b378280fe8b
+size 7423166592

Chinese-LLaMA-2-13B-hf-Q4_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1fd99bd76d8584d213312d69f44c9d684f9ff45943a1763cea548aa4ca24f7d8
+size 7923288192

Chinese-LLaMA-2-13B-hf-Q4_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9f6503340aa2ebfcff0e80f5fdbe814feba3cbd607209d99a719538a2bba73db
+size 7480510592

Chinese-LLaMA-2-13B-hf-Q5_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d72dbea4125a7c1b04a7d1dc8a6b77d982affc0bbffda68aa16cdbe0f4e64185
+size 9034786432

Chinese-LLaMA-2-13B-hf-Q5_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fc1c2fc76e82f074dba71d067783bdacb79a85290491cebe974af9ca45774aaf
+size 9292424832

Chinese-LLaMA-2-13B-hf-Q5_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:92408713dff88d9067ada27e5252397bda39eb170e7af223e531ef643a69636a
+size 9034786432

Chinese-LLaMA-2-13B-hf-Q6_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f79d0f60ad7755bf7f93b51b8d2179feb06787be1075005234261863bfa96143
+size 10747132512

Chinese-LLaMA-2-13B-hf-Q8_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9542871c5c9340300e5f0016bcaa33e79e120eb13dd6a19b7364509f36838b5d
+size 13919340192

README.md

@@ -0,0 +1,117 @@
+---
+language:
+- zh
+- en
+tags:
+- LLaMA2
+- Linly
+- Chinese-LLaMA2
+- TensorBlock
+- GGUF
+base_model: Linly-AI/Chinese-LLaMA-2-13B-hf
+---
+
+<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>
+
+## Linly-AI/Chinese-LLaMA-2-13B-hf - GGUF
+
+This repo contains GGUF format model files for [Linly-AI/Chinese-LLaMA-2-13B-hf](https://huggingface.co/Linly-AI/Chinese-LLaMA-2-13B-hf).
+
+The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b5165](https://github.com/ggml-org/llama.cpp/commit/1d735c0b4fa0551c51c2f4ac888dd9a01f447985).
+
+## Our projects
+<table border="1" cellspacing="0" cellpadding="10">
+<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="Project A" width="450"/></th>
+    <th><img src="https://imgur.com/pJcmF5u.jpeg" alt="Project B" 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
+
+```
+
+```
+
+## Model file specification
+
+| Filename | Quant type | File Size | Description |
+| -------- | ---------- | --------- | ----------- |
+| [Chinese-LLaMA-2-13B-hf-Q2_K.gguf](https://huggingface.co/tensorblock/Linly-AI_Chinese-LLaMA-2-13B-hf-GGUF/blob/main/Chinese-LLaMA-2-13B-hf-Q2_K.gguf) | Q2_K | 4.902 GB | smallest, significant quality loss - not recommended for most purposes |
+| [Chinese-LLaMA-2-13B-hf-Q3_K_S.gguf](https://huggingface.co/tensorblock/Linly-AI_Chinese-LLaMA-2-13B-hf-GGUF/blob/main/Chinese-LLaMA-2-13B-hf-Q3_K_S.gguf) | Q3_K_S | 5.711 GB | very small, high quality loss |
+| [Chinese-LLaMA-2-13B-hf-Q3_K_M.gguf](https://huggingface.co/tensorblock/Linly-AI_Chinese-LLaMA-2-13B-hf-GGUF/blob/main/Chinese-LLaMA-2-13B-hf-Q3_K_M.gguf) | Q3_K_M | 6.390 GB | very small, high quality loss |
+| [Chinese-LLaMA-2-13B-hf-Q3_K_L.gguf](https://huggingface.co/tensorblock/Linly-AI_Chinese-LLaMA-2-13B-hf-GGUF/blob/main/Chinese-LLaMA-2-13B-hf-Q3_K_L.gguf) | Q3_K_L | 6.981 GB | small, substantial quality loss |
+| [Chinese-LLaMA-2-13B-hf-Q4_0.gguf](https://huggingface.co/tensorblock/Linly-AI_Chinese-LLaMA-2-13B-hf-GGUF/blob/main/Chinese-LLaMA-2-13B-hf-Q4_0.gguf) | Q4_0 | 7.423 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
+| [Chinese-LLaMA-2-13B-hf-Q4_K_S.gguf](https://huggingface.co/tensorblock/Linly-AI_Chinese-LLaMA-2-13B-hf-GGUF/blob/main/Chinese-LLaMA-2-13B-hf-Q4_K_S.gguf) | Q4_K_S | 7.481 GB | small, greater quality loss |
+| [Chinese-LLaMA-2-13B-hf-Q4_K_M.gguf](https://huggingface.co/tensorblock/Linly-AI_Chinese-LLaMA-2-13B-hf-GGUF/blob/main/Chinese-LLaMA-2-13B-hf-Q4_K_M.gguf) | Q4_K_M | 7.923 GB | medium, balanced quality - recommended |
+| [Chinese-LLaMA-2-13B-hf-Q5_0.gguf](https://huggingface.co/tensorblock/Linly-AI_Chinese-LLaMA-2-13B-hf-GGUF/blob/main/Chinese-LLaMA-2-13B-hf-Q5_0.gguf) | Q5_0 | 9.035 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
+| [Chinese-LLaMA-2-13B-hf-Q5_K_S.gguf](https://huggingface.co/tensorblock/Linly-AI_Chinese-LLaMA-2-13B-hf-GGUF/blob/main/Chinese-LLaMA-2-13B-hf-Q5_K_S.gguf) | Q5_K_S | 9.035 GB | large, low quality loss - recommended |
+| [Chinese-LLaMA-2-13B-hf-Q5_K_M.gguf](https://huggingface.co/tensorblock/Linly-AI_Chinese-LLaMA-2-13B-hf-GGUF/blob/main/Chinese-LLaMA-2-13B-hf-Q5_K_M.gguf) | Q5_K_M | 9.292 GB | large, very low quality loss - recommended |
+| [Chinese-LLaMA-2-13B-hf-Q6_K.gguf](https://huggingface.co/tensorblock/Linly-AI_Chinese-LLaMA-2-13B-hf-GGUF/blob/main/Chinese-LLaMA-2-13B-hf-Q6_K.gguf) | Q6_K | 10.747 GB | very large, extremely low quality loss |
+| [Chinese-LLaMA-2-13B-hf-Q8_0.gguf](https://huggingface.co/tensorblock/Linly-AI_Chinese-LLaMA-2-13B-hf-GGUF/blob/main/Chinese-LLaMA-2-13B-hf-Q8_0.gguf) | Q8_0 | 13.919 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/Linly-AI_Chinese-LLaMA-2-13B-hf-GGUF --include "Chinese-LLaMA-2-13B-hf-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/Linly-AI_Chinese-LLaMA-2-13B-hf-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
+```