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
+Qwen2.5-7B-Open-R1-Distill-Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
+Qwen2.5-7B-Open-R1-Distill-Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
+Qwen2.5-7B-Open-R1-Distill-Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Qwen2.5-7B-Open-R1-Distill-Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Qwen2.5-7B-Open-R1-Distill-Q4_0.gguf filter=lfs diff=lfs merge=lfs -text
+Qwen2.5-7B-Open-R1-Distill-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Qwen2.5-7B-Open-R1-Distill-Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Qwen2.5-7B-Open-R1-Distill-Q5_0.gguf filter=lfs diff=lfs merge=lfs -text
+Qwen2.5-7B-Open-R1-Distill-Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Qwen2.5-7B-Open-R1-Distill-Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Qwen2.5-7B-Open-R1-Distill-Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
+Qwen2.5-7B-Open-R1-Distill-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text

Qwen2.5-7B-Open-R1-Distill-Q2_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e8dc4169ef63f22404c240cf2c0a537f87eb1c8630873f6298ae2ff2ffd434d2
+size 3015940064

Qwen2.5-7B-Open-R1-Distill-Q3_K_L.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:61bc92440abc14ffa0646afc530b28afe107d6ba35b7a99f08c1fab790b10ca5
+size 4088459232

Qwen2.5-7B-Open-R1-Distill-Q3_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5cffa9c3aafb446b25bb8405ac4dd84bc338571bbd54ed9195be269fd9335720
+size 3808391136

Qwen2.5-7B-Open-R1-Distill-Q3_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6910a444d1f1b1a0a46bbada6ddf8477d81011ee585a058ea27de0428247fc5d
+size 3492368352

Qwen2.5-7B-Open-R1-Distill-Q4_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0654aa2f580feedc2e75e4a3e6c309ca1ce927f94ba026a600f50dbb21dc0725
+size 4431390688

Qwen2.5-7B-Open-R1-Distill-Q4_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d201ce665eb67b0a32f126e96c47b965ed6285302376f36d25e31dc3ca156bcc
+size 4683073504

Qwen2.5-7B-Open-R1-Distill-Q4_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a17f7b52e86027a098e32258dd833abc3ba94a2492b5000c183908e470c13246
+size 4457768928

Qwen2.5-7B-Open-R1-Distill-Q5_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6ec5181304737f8f84512388f57b75bef4da818e2fe94e3f44ce8d7fdd10b834
+size 5315176416

Qwen2.5-7B-Open-R1-Distill-Q5_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b713c28b411ac1f964202feed7e7e5d04c839909bc5a19e6430f3662c3a4d0c3
+size 5444831200

Qwen2.5-7B-Open-R1-Distill-Q5_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ff35272eec868376aa510e9a2c77bcaaaad51c6fd4f69e071622b4738d679cb0
+size 5315176416

Qwen2.5-7B-Open-R1-Distill-Q6_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1973513b34f52dcca722b2289260273bc073a26427cfdcc97ea9afae78d38898
+size 6254198752

Qwen2.5-7B-Open-R1-Distill-Q8_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b18f8c2646ecad27af074ecfefce94bb5e528714f5f285cd6990b8f5ff844431
+size 8098525152

README.md

@@ -0,0 +1,80 @@
+---
+library_name: transformers
+tags:
+- TensorBlock
+- GGUF
+base_model: Seungyoun/Qwen2.5-7B-Open-R1-Distill
+---
+
+<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>
+
+## Seungyoun/Qwen2.5-7B-Open-R1-Distill - GGUF
+
+This repo contains GGUF format model files for [Seungyoun/Qwen2.5-7B-Open-R1-Distill](https://huggingface.co/Seungyoun/Qwen2.5-7B-Open-R1-Distill).
+
+The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b4882](https://github.com/ggml-org/llama.cpp/commit/be7c3034108473beda214fd1d7c98fd6a7a3bdf5).
+
+<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
+
+```
+<|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 |
+| -------- | ---------- | --------- | ----------- |
+| [Qwen2.5-7B-Open-R1-Distill-Q2_K.gguf](https://huggingface.co/tensorblock/Qwen2.5-7B-Open-R1-Distill-GGUF/blob/main/Qwen2.5-7B-Open-R1-Distill-Q2_K.gguf) | Q2_K | 3.016 GB | smallest, significant quality loss - not recommended for most purposes |
+| [Qwen2.5-7B-Open-R1-Distill-Q3_K_S.gguf](https://huggingface.co/tensorblock/Qwen2.5-7B-Open-R1-Distill-GGUF/blob/main/Qwen2.5-7B-Open-R1-Distill-Q3_K_S.gguf) | Q3_K_S | 3.492 GB | very small, high quality loss |
+| [Qwen2.5-7B-Open-R1-Distill-Q3_K_M.gguf](https://huggingface.co/tensorblock/Qwen2.5-7B-Open-R1-Distill-GGUF/blob/main/Qwen2.5-7B-Open-R1-Distill-Q3_K_M.gguf) | Q3_K_M | 3.808 GB | very small, high quality loss |
+| [Qwen2.5-7B-Open-R1-Distill-Q3_K_L.gguf](https://huggingface.co/tensorblock/Qwen2.5-7B-Open-R1-Distill-GGUF/blob/main/Qwen2.5-7B-Open-R1-Distill-Q3_K_L.gguf) | Q3_K_L | 4.088 GB | small, substantial quality loss |
+| [Qwen2.5-7B-Open-R1-Distill-Q4_0.gguf](https://huggingface.co/tensorblock/Qwen2.5-7B-Open-R1-Distill-GGUF/blob/main/Qwen2.5-7B-Open-R1-Distill-Q4_0.gguf) | Q4_0 | 4.431 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
+| [Qwen2.5-7B-Open-R1-Distill-Q4_K_S.gguf](https://huggingface.co/tensorblock/Qwen2.5-7B-Open-R1-Distill-GGUF/blob/main/Qwen2.5-7B-Open-R1-Distill-Q4_K_S.gguf) | Q4_K_S | 4.458 GB | small, greater quality loss |
+| [Qwen2.5-7B-Open-R1-Distill-Q4_K_M.gguf](https://huggingface.co/tensorblock/Qwen2.5-7B-Open-R1-Distill-GGUF/blob/main/Qwen2.5-7B-Open-R1-Distill-Q4_K_M.gguf) | Q4_K_M | 4.683 GB | medium, balanced quality - recommended |
+| [Qwen2.5-7B-Open-R1-Distill-Q5_0.gguf](https://huggingface.co/tensorblock/Qwen2.5-7B-Open-R1-Distill-GGUF/blob/main/Qwen2.5-7B-Open-R1-Distill-Q5_0.gguf) | Q5_0 | 5.315 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
+| [Qwen2.5-7B-Open-R1-Distill-Q5_K_S.gguf](https://huggingface.co/tensorblock/Qwen2.5-7B-Open-R1-Distill-GGUF/blob/main/Qwen2.5-7B-Open-R1-Distill-Q5_K_S.gguf) | Q5_K_S | 5.315 GB | large, low quality loss - recommended |
+| [Qwen2.5-7B-Open-R1-Distill-Q5_K_M.gguf](https://huggingface.co/tensorblock/Qwen2.5-7B-Open-R1-Distill-GGUF/blob/main/Qwen2.5-7B-Open-R1-Distill-Q5_K_M.gguf) | Q5_K_M | 5.445 GB | large, very low quality loss - recommended |
+| [Qwen2.5-7B-Open-R1-Distill-Q6_K.gguf](https://huggingface.co/tensorblock/Qwen2.5-7B-Open-R1-Distill-GGUF/blob/main/Qwen2.5-7B-Open-R1-Distill-Q6_K.gguf) | Q6_K | 6.254 GB | very large, extremely low quality loss |
+| [Qwen2.5-7B-Open-R1-Distill-Q8_0.gguf](https://huggingface.co/tensorblock/Qwen2.5-7B-Open-R1-Distill-GGUF/blob/main/Qwen2.5-7B-Open-R1-Distill-Q8_0.gguf) | Q8_0 | 8.099 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/Qwen2.5-7B-Open-R1-Distill-GGUF --include "Qwen2.5-7B-Open-R1-Distill-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/Qwen2.5-7B-Open-R1-Distill-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
+```