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
+AceMath-1.5B-Instruct-Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
+AceMath-1.5B-Instruct-Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
+AceMath-1.5B-Instruct-Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+AceMath-1.5B-Instruct-Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+AceMath-1.5B-Instruct-Q4_0.gguf filter=lfs diff=lfs merge=lfs -text
+AceMath-1.5B-Instruct-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+AceMath-1.5B-Instruct-Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+AceMath-1.5B-Instruct-Q5_0.gguf filter=lfs diff=lfs merge=lfs -text
+AceMath-1.5B-Instruct-Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+AceMath-1.5B-Instruct-Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+AceMath-1.5B-Instruct-Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
+AceMath-1.5B-Instruct-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text

AceMath-1.5B-Instruct-Q2_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:59d39f641fc6596938213e95593fa58b4a1287c790e196ee4b8fe4ae4229d7cb
+size 752878336

AceMath-1.5B-Instruct-Q3_K_L.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c667fbf5b363c6e693fdc08cf81841b616a53a6051a3dab316530b7083a401c8
+size 980438272

AceMath-1.5B-Instruct-Q3_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:89ac26460cb250187e33ca82640d8831c6d7b1d479f2533b9ce40873fb4ced9e
+size 924454144

AceMath-1.5B-Instruct-Q3_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c581602f393a9a51abf3db6bd342fc32b81a2b7bc22a65458a227b83b8f54e17
+size 861220096

AceMath-1.5B-Instruct-Q4_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0cd7b25d67ea09226e0fd767282665deb59edb628cfea4fe30d575a53d59b159
+size 1066225408

AceMath-1.5B-Instruct-Q4_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:82f8e0455e092ff6fa8d1af1e84a4a619240288025d32825c12d606418014566
+size 1117318912

AceMath-1.5B-Instruct-Q4_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fad95b29a69b3d60e0b9bdfe2e53c1ca289ff461009767c23224fc2f9bc6c93b
+size 1071582976

AceMath-1.5B-Instruct-Q5_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f00d7da1ab3bcb94833843bcd203850a0971810350f5b50ae54cc7007eb1fa1c
+size 1259171584

AceMath-1.5B-Instruct-Q5_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:560ad71b6d192ead5099400e9cb288ad1bad838e52937332c1617ffd9351c2b3
+size 1285492480

AceMath-1.5B-Instruct-Q5_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6a782ef5662ec15112eab01484bb62244243d19f69ac2a3f5011491d20add9d1
+size 1259171584

AceMath-1.5B-Instruct-Q6_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3b8202c73568c53077b9429a50cf32a968f64b09986585023d98392e21c68434
+size 1464176896

AceMath-1.5B-Instruct-Q8_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ccb64019501109cee829dea36557eda83e50ade93b355d1e0afb0b963b262c7b
+size 1894530304

README.md

@@ -0,0 +1,89 @@
+---
+license: cc-by-nc-4.0
+language:
+- en
+pipeline_tag: text-generation
+tags:
+- nvidia
+- AceMath
+- math
+- CoT
+- pytorch
+- TensorBlock
+- GGUF
+base_model: nvidia/AceMath-1.5B-Instruct
+---
+
+<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>
+
+## nvidia/AceMath-1.5B-Instruct - GGUF
+
+This repo contains GGUF format model files for [nvidia/AceMath-1.5B-Instruct](https://huggingface.co/nvidia/AceMath-1.5B-Instruct).
+
+The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b4823](https://github.com/ggml-org/llama.cpp/commit/5bbe6a9fe9a8796a9389c85accec89dbc4d91e39).
+
+<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}
+Please give a step-by-step answer and use a oxed command to denote the final answer.<|im_end|>
+<|im_start|>assistant
+```
+
+## Model file specification
+
+| Filename | Quant type | File Size | Description |
+| -------- | ---------- | --------- | ----------- |
+| [AceMath-1.5B-Instruct-Q2_K.gguf](https://huggingface.co/tensorblock/AceMath-1.5B-Instruct-GGUF/blob/main/AceMath-1.5B-Instruct-Q2_K.gguf) | Q2_K | 0.753 GB | smallest, significant quality loss - not recommended for most purposes |
+| [AceMath-1.5B-Instruct-Q3_K_S.gguf](https://huggingface.co/tensorblock/AceMath-1.5B-Instruct-GGUF/blob/main/AceMath-1.5B-Instruct-Q3_K_S.gguf) | Q3_K_S | 0.861 GB | very small, high quality loss |
+| [AceMath-1.5B-Instruct-Q3_K_M.gguf](https://huggingface.co/tensorblock/AceMath-1.5B-Instruct-GGUF/blob/main/AceMath-1.5B-Instruct-Q3_K_M.gguf) | Q3_K_M | 0.924 GB | very small, high quality loss |
+| [AceMath-1.5B-Instruct-Q3_K_L.gguf](https://huggingface.co/tensorblock/AceMath-1.5B-Instruct-GGUF/blob/main/AceMath-1.5B-Instruct-Q3_K_L.gguf) | Q3_K_L | 0.980 GB | small, substantial quality loss |
+| [AceMath-1.5B-Instruct-Q4_0.gguf](https://huggingface.co/tensorblock/AceMath-1.5B-Instruct-GGUF/blob/main/AceMath-1.5B-Instruct-Q4_0.gguf) | Q4_0 | 1.066 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
+| [AceMath-1.5B-Instruct-Q4_K_S.gguf](https://huggingface.co/tensorblock/AceMath-1.5B-Instruct-GGUF/blob/main/AceMath-1.5B-Instruct-Q4_K_S.gguf) | Q4_K_S | 1.072 GB | small, greater quality loss |
+| [AceMath-1.5B-Instruct-Q4_K_M.gguf](https://huggingface.co/tensorblock/AceMath-1.5B-Instruct-GGUF/blob/main/AceMath-1.5B-Instruct-Q4_K_M.gguf) | Q4_K_M | 1.117 GB | medium, balanced quality - recommended |
+| [AceMath-1.5B-Instruct-Q5_0.gguf](https://huggingface.co/tensorblock/AceMath-1.5B-Instruct-GGUF/blob/main/AceMath-1.5B-Instruct-Q5_0.gguf) | Q5_0 | 1.259 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
+| [AceMath-1.5B-Instruct-Q5_K_S.gguf](https://huggingface.co/tensorblock/AceMath-1.5B-Instruct-GGUF/blob/main/AceMath-1.5B-Instruct-Q5_K_S.gguf) | Q5_K_S | 1.259 GB | large, low quality loss - recommended |
+| [AceMath-1.5B-Instruct-Q5_K_M.gguf](https://huggingface.co/tensorblock/AceMath-1.5B-Instruct-GGUF/blob/main/AceMath-1.5B-Instruct-Q5_K_M.gguf) | Q5_K_M | 1.285 GB | large, very low quality loss - recommended |
+| [AceMath-1.5B-Instruct-Q6_K.gguf](https://huggingface.co/tensorblock/AceMath-1.5B-Instruct-GGUF/blob/main/AceMath-1.5B-Instruct-Q6_K.gguf) | Q6_K | 1.464 GB | very large, extremely low quality loss |
+| [AceMath-1.5B-Instruct-Q8_0.gguf](https://huggingface.co/tensorblock/AceMath-1.5B-Instruct-GGUF/blob/main/AceMath-1.5B-Instruct-Q8_0.gguf) | Q8_0 | 1.895 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/AceMath-1.5B-Instruct-GGUF --include "AceMath-1.5B-Instruct-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/AceMath-1.5B-Instruct-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
+```