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
+Qwen3-8B-Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
+Qwen3-8B-Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
+Qwen3-8B-Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Qwen3-8B-Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Qwen3-8B-Q4_0.gguf filter=lfs diff=lfs merge=lfs -text
+Qwen3-8B-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Qwen3-8B-Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Qwen3-8B-Q5_0.gguf filter=lfs diff=lfs merge=lfs -text
+Qwen3-8B-Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Qwen3-8B-Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Qwen3-8B-Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
+Qwen3-8B-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text

Qwen3-8B-Q2_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d25f5bae7bab08c38b709840193dba941e79baa19dd3ed12c4848de5b0765d6f
+size 3281732800

Qwen3-8B-Q3_K_L.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:30fe0f29261d32f54a5d4acd94752c30677a474d25f32989ae1e1f9653026eff
+size 4431393984

Qwen3-8B-Q3_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7c0cdf874dd1fa7ab4840d31840ed627b91caae1ca3154b6257f3f350c66d14a
+size 4124161216

Qwen3-8B-Q3_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:71a5fcfcc268731e341ad40e3900fc75058a170728572d5266d5a7f7349497c0
+size 3769611456

Qwen3-8B-Q4_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9db3caf44a519c45e5dc7ca37c3dcf1720d9cc9c9da332d139984ad197c988d8
+size 4774749376

Qwen3-8B-Q4_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6428709fa7cb52e83ce95b052e5edd7ab2d6837c6dc5c1d4dbafc467398d5cf5
+size 5027783872

Qwen3-8B-Q4_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b4d05451feb788a65917af5cca7c9e98808b91cfccb2ca7b175754205cce7ebb
+size 4802012352

Qwen3-8B-Q5_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d0983251f3085b45055c39cffac7d4b0e2e311195672c830e24d88c0a9c3eda6
+size 5720761536

Qwen3-8B-Q5_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:23bfdcb5285fdff750b3fb7eb675b34e62ad917f350a22307ba02dcb76bbf5b7
+size 5851112640

Qwen3-8B-Q5_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:98c3e5df4c0568a5486af5575b6ccdabda2136558cf182267da513c025d59322
+size 5720761536

Qwen3-8B-Q6_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bd5f35fd5c9196efa2ff2fe9d417f4ee7f78ac11b4e275789db27da21a2e701b
+size 6725899456

Qwen3-8B-Q8_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:84ea94311add32ac6c562afd9250bc3228f8eff5f504694899f201031b01be3d
+size 8709518528

README.md

@@ -0,0 +1,119 @@
+---
+library_name: transformers
+license: apache-2.0
+license_link: https://huggingface.co/Qwen/Qwen3-8B/blob/main/LICENSE
+pipeline_tag: text-generation
+base_model: Qwen/Qwen3-8B
+tags:
+- TensorBlock
+- GGUF
+---
+
+<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>
+
+## Qwen/Qwen3-8B - GGUF
+
+This repo contains GGUF format model files for [Qwen/Qwen3-8B](https://huggingface.co/Qwen/Qwen3-8B).
+
+The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b5214](https://github.com/ggml-org/llama.cpp/commit/eaea3253244dc4bbe07f6cd81325847ccc6cf93e).
+
+## 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
+
+```
+<|im_start|>system
+{system_prompt}<|im_end|>
+<|im_start|>user
+{prompt}<|im_end|>
+<|im_start|>assistant
+```
+
+## Model file specification
+
+| Filename | Quant type | File Size | Description |
+| -------- | ---------- | --------- | ----------- |
+| [Qwen3-8B-Q2_K.gguf](https://huggingface.co/tensorblock/Qwen_Qwen3-8B-GGUF/blob/main/Qwen3-8B-Q2_K.gguf) | Q2_K | 3.282 GB | smallest, significant quality loss - not recommended for most purposes |
+| [Qwen3-8B-Q3_K_S.gguf](https://huggingface.co/tensorblock/Qwen_Qwen3-8B-GGUF/blob/main/Qwen3-8B-Q3_K_S.gguf) | Q3_K_S | 3.770 GB | very small, high quality loss |
+| [Qwen3-8B-Q3_K_M.gguf](https://huggingface.co/tensorblock/Qwen_Qwen3-8B-GGUF/blob/main/Qwen3-8B-Q3_K_M.gguf) | Q3_K_M | 4.124 GB | very small, high quality loss |
+| [Qwen3-8B-Q3_K_L.gguf](https://huggingface.co/tensorblock/Qwen_Qwen3-8B-GGUF/blob/main/Qwen3-8B-Q3_K_L.gguf) | Q3_K_L | 4.431 GB | small, substantial quality loss |
+| [Qwen3-8B-Q4_0.gguf](https://huggingface.co/tensorblock/Qwen_Qwen3-8B-GGUF/blob/main/Qwen3-8B-Q4_0.gguf) | Q4_0 | 4.775 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
+| [Qwen3-8B-Q4_K_S.gguf](https://huggingface.co/tensorblock/Qwen_Qwen3-8B-GGUF/blob/main/Qwen3-8B-Q4_K_S.gguf) | Q4_K_S | 4.802 GB | small, greater quality loss |
+| [Qwen3-8B-Q4_K_M.gguf](https://huggingface.co/tensorblock/Qwen_Qwen3-8B-GGUF/blob/main/Qwen3-8B-Q4_K_M.gguf) | Q4_K_M | 5.028 GB | medium, balanced quality - recommended |
+| [Qwen3-8B-Q5_0.gguf](https://huggingface.co/tensorblock/Qwen_Qwen3-8B-GGUF/blob/main/Qwen3-8B-Q5_0.gguf) | Q5_0 | 5.721 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
+| [Qwen3-8B-Q5_K_S.gguf](https://huggingface.co/tensorblock/Qwen_Qwen3-8B-GGUF/blob/main/Qwen3-8B-Q5_K_S.gguf) | Q5_K_S | 5.721 GB | large, low quality loss - recommended |
+| [Qwen3-8B-Q5_K_M.gguf](https://huggingface.co/tensorblock/Qwen_Qwen3-8B-GGUF/blob/main/Qwen3-8B-Q5_K_M.gguf) | Q5_K_M | 5.851 GB | large, very low quality loss - recommended |
+| [Qwen3-8B-Q6_K.gguf](https://huggingface.co/tensorblock/Qwen_Qwen3-8B-GGUF/blob/main/Qwen3-8B-Q6_K.gguf) | Q6_K | 6.726 GB | very large, extremely low quality loss |
+| [Qwen3-8B-Q8_0.gguf](https://huggingface.co/tensorblock/Qwen_Qwen3-8B-GGUF/blob/main/Qwen3-8B-Q8_0.gguf) | Q8_0 | 8.710 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/Qwen_Qwen3-8B-GGUF --include "Qwen3-8B-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/Qwen_Qwen3-8B-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
+```