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
+Qwen3-1.7B-Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
+Qwen3-1.7B-Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
+Qwen3-1.7B-Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Qwen3-1.7B-Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Qwen3-1.7B-Q4_0.gguf filter=lfs diff=lfs merge=lfs -text
+Qwen3-1.7B-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Qwen3-1.7B-Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Qwen3-1.7B-Q5_0.gguf filter=lfs diff=lfs merge=lfs -text
+Qwen3-1.7B-Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Qwen3-1.7B-Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Qwen3-1.7B-Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
+Qwen3-1.7B-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text

Qwen3-1.7B-Q2_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d0a7e511a525a2cdc10f94a7cc2284b9b519d61a7f5c1e1453c817b9a4a481f1
+size 777791040

Qwen3-1.7B-Q3_K_L.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:55f6fd962957c68a5a1585eabee1bb301e26d82615a6cda916d3377cbd53d03b
+size 1003497024

Qwen3-1.7B-Q3_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2b35ccbf32b8a25c2669b97f152d589a755ee71189a31e5f65884a3ad79bd605
+size 939533888

Qwen3-1.7B-Q3_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f305dc771c08ebb9ac613c1d1483efb1da53797b3f79593890bc7a61b5f628d7
+size 867247680

Qwen3-1.7B-Q4_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d72fd4944e3420b0a40bb79dc43765ba37c0291bce7bcfbfe117e04359ef7dae
+size 1054418496

Qwen3-1.7B-Q4_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:28d7e7d318f41b24bfca67923207bc4b653f9d05705ca55f0c1ef922765a32da
+size 1107404352

Qwen3-1.7B-Q4_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:56f35b401a5cea59328ef457273a78c7db227157fc41fc266112c0ea36155cf8
+size 1060185664

Qwen3-1.7B-Q5_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c3913ca70ce5c9d8e0bca5572990b26900bc232e0e342c95102f9091b5b2a441
+size 1230579264

Qwen3-1.7B-Q5_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d858ea86545f901b65fe608f2048a4c128385561fd3f49d05a68cfc899e0e88b
+size 1257875008

Qwen3-1.7B-Q5_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d70027faa261c5dd347e0b83941ae9dd82eb634fb502ef31c7d7e522fa389523
+size 1230579264

Qwen3-1.7B-Q6_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:74747d6dfca0597b518681627457efe21f4d578e5042e5728e3d8ed5fda93f96
+size 1417750080

Qwen3-1.7B-Q8_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e6b61af663fe2500905581d00cd1c54a94ee6630b4d87e713d29b6546a9a297c
+size 1834421824

README.md

@@ -0,0 +1,148 @@
+---
+library_name: transformers
+tags:
+- TensorBlock
+- GGUF
+base_model: willcb/Qwen3-1.7B
+---
+
+<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)
+
+
+## willcb/Qwen3-1.7B - 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 [willcb/Qwen3-1.7B](https://huggingface.co/willcb/Qwen3-1.7B).
+
+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
+
+```
+<|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 |
+| -------- | ---------- | --------- | ----------- |
+| [Qwen3-1.7B-Q2_K.gguf](https://huggingface.co/tensorblock/willcb_Qwen3-1.7B-GGUF/blob/main/Qwen3-1.7B-Q2_K.gguf) | Q2_K | 0.778 GB | smallest, significant quality loss - not recommended for most purposes |
+| [Qwen3-1.7B-Q3_K_S.gguf](https://huggingface.co/tensorblock/willcb_Qwen3-1.7B-GGUF/blob/main/Qwen3-1.7B-Q3_K_S.gguf) | Q3_K_S | 0.867 GB | very small, high quality loss |
+| [Qwen3-1.7B-Q3_K_M.gguf](https://huggingface.co/tensorblock/willcb_Qwen3-1.7B-GGUF/blob/main/Qwen3-1.7B-Q3_K_M.gguf) | Q3_K_M | 0.940 GB | very small, high quality loss |
+| [Qwen3-1.7B-Q3_K_L.gguf](https://huggingface.co/tensorblock/willcb_Qwen3-1.7B-GGUF/blob/main/Qwen3-1.7B-Q3_K_L.gguf) | Q3_K_L | 1.003 GB | small, substantial quality loss |
+| [Qwen3-1.7B-Q4_0.gguf](https://huggingface.co/tensorblock/willcb_Qwen3-1.7B-GGUF/blob/main/Qwen3-1.7B-Q4_0.gguf) | Q4_0 | 1.054 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
+| [Qwen3-1.7B-Q4_K_S.gguf](https://huggingface.co/tensorblock/willcb_Qwen3-1.7B-GGUF/blob/main/Qwen3-1.7B-Q4_K_S.gguf) | Q4_K_S | 1.060 GB | small, greater quality loss |
+| [Qwen3-1.7B-Q4_K_M.gguf](https://huggingface.co/tensorblock/willcb_Qwen3-1.7B-GGUF/blob/main/Qwen3-1.7B-Q4_K_M.gguf) | Q4_K_M | 1.107 GB | medium, balanced quality - recommended |
+| [Qwen3-1.7B-Q5_0.gguf](https://huggingface.co/tensorblock/willcb_Qwen3-1.7B-GGUF/blob/main/Qwen3-1.7B-Q5_0.gguf) | Q5_0 | 1.231 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
+| [Qwen3-1.7B-Q5_K_S.gguf](https://huggingface.co/tensorblock/willcb_Qwen3-1.7B-GGUF/blob/main/Qwen3-1.7B-Q5_K_S.gguf) | Q5_K_S | 1.231 GB | large, low quality loss - recommended |
+| [Qwen3-1.7B-Q5_K_M.gguf](https://huggingface.co/tensorblock/willcb_Qwen3-1.7B-GGUF/blob/main/Qwen3-1.7B-Q5_K_M.gguf) | Q5_K_M | 1.258 GB | large, very low quality loss - recommended |
+| [Qwen3-1.7B-Q6_K.gguf](https://huggingface.co/tensorblock/willcb_Qwen3-1.7B-GGUF/blob/main/Qwen3-1.7B-Q6_K.gguf) | Q6_K | 1.418 GB | very large, extremely low quality loss |
+| [Qwen3-1.7B-Q8_0.gguf](https://huggingface.co/tensorblock/willcb_Qwen3-1.7B-GGUF/blob/main/Qwen3-1.7B-Q8_0.gguf) | Q8_0 | 1.834 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/willcb_Qwen3-1.7B-GGUF --include "Qwen3-1.7B-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/willcb_Qwen3-1.7B-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
+```