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
+Llama-3.2-8B-Instruct-Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-3.2-8B-Instruct-Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-3.2-8B-Instruct-Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-3.2-8B-Instruct-Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-3.2-8B-Instruct-Q4_0.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-3.2-8B-Instruct-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-3.2-8B-Instruct-Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-3.2-8B-Instruct-Q5_0.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-3.2-8B-Instruct-Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-3.2-8B-Instruct-Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-3.2-8B-Instruct-Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-3.2-8B-Instruct-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text

Llama-3.2-8B-Instruct-Q2_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3363e6bc11ec7cce583845faa5eb2201b579f4dfd969c2424c56c59a806a42e3
+size 3179135968

Llama-3.2-8B-Instruct-Q3_K_L.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6693797320a2aab201d39a08e9663e1560894c4af4f592e6239a9e3663fea1ec
+size 4321960928

Llama-3.2-8B-Instruct-Q3_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9c174bf02d610062b717a8422070e506be491290f98ada64a996be5197813cc9
+size 4018922464

Llama-3.2-8B-Instruct-Q3_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:02c9cc7d3120cfa35580c06fa33fb00aacfad2d978c67755e8b36cd05898e183
+size 3664503776

Llama-3.2-8B-Instruct-Q4_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:16c01bd4b6d3ff66c496e11904d2fc982991f012d46765b3d1f592a880f27db3
+size 4661216224

Llama-3.2-8B-Instruct-Q4_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:167c46f686834fdcdef2873b6f006102d36ff939043cfb31fd9232e0f55d7f99
+size 4920738784

Llama-3.2-8B-Instruct-Q4_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d1b5c96c9e0b0ff3d7777ff557dd95ba704c67f8545de3890c13e4be74cccb1a
+size 4692673504

Llama-3.2-8B-Instruct-Q5_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:23ca06efed8b5f64b4137c37b5129b172ef9612ad522ed2708d218d2044219e4
+size 5599298528

Llama-3.2-8B-Instruct-Q5_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e3f5ca28a9a44aa670bc09e187fc3f218a73a8687a3a1a026fddb25fc12c05e2
+size 5732991968

Llama-3.2-8B-Instruct-Q5_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:71ce1c6fe741bd71fe5a23c678516e8dbc5012f4ed601991322a6eb96829e79a
+size 5599298528

Llama-3.2-8B-Instruct-Q6_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e05e09cf691a8b5ff60b3cf2da39b4decad6e5b12c27f2addcd7c2c0b079831a
+size 6596010976

Llama-3.2-8B-Instruct-Q8_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a1decfdd935308e6acb778f8eacd6615c463a3caf17f4812a306caaa024f25b9
+size 8540775392

README.md

@@ -0,0 +1,83 @@
+---
+library_name: transformers
+tags:
+- TensorBlock
+- GGUF
+base_model: voidful/Llama-3.2-8B-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>
+
+## voidful/Llama-3.2-8B-Instruct - GGUF
+
+This repo contains GGUF format model files for [voidful/Llama-3.2-8B-Instruct](https://huggingface.co/voidful/Llama-3.2-8B-Instruct).
+
+The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b4011](https://github.com/ggerganov/llama.cpp/commit/a6744e43e80f4be6398fc7733a01642c846dce1d).
+
+<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
+
+```
+<|begin_of_text|><|start_header_id|>system<|end_header_id|>
+
+Cutting Knowledge Date: December 2023
+Today Date: 26 Jul 2024
+
+{system_prompt}<|eot_id|><|start_header_id|>user<|end_header_id|>
+
+{prompt}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
+```
+
+## Model file specification
+
+| Filename | Quant type | File Size | Description |
+| -------- | ---------- | --------- | ----------- |
+| [Llama-3.2-8B-Instruct-Q2_K.gguf](https://huggingface.co/tensorblock/Llama-3.2-8B-Instruct-GGUF/blob/main/Llama-3.2-8B-Instruct-Q2_K.gguf) | Q2_K | 3.179 GB | smallest, significant quality loss - not recommended for most purposes |
+| [Llama-3.2-8B-Instruct-Q3_K_S.gguf](https://huggingface.co/tensorblock/Llama-3.2-8B-Instruct-GGUF/blob/main/Llama-3.2-8B-Instruct-Q3_K_S.gguf) | Q3_K_S | 3.665 GB | very small, high quality loss |
+| [Llama-3.2-8B-Instruct-Q3_K_M.gguf](https://huggingface.co/tensorblock/Llama-3.2-8B-Instruct-GGUF/blob/main/Llama-3.2-8B-Instruct-Q3_K_M.gguf) | Q3_K_M | 4.019 GB | very small, high quality loss |
+| [Llama-3.2-8B-Instruct-Q3_K_L.gguf](https://huggingface.co/tensorblock/Llama-3.2-8B-Instruct-GGUF/blob/main/Llama-3.2-8B-Instruct-Q3_K_L.gguf) | Q3_K_L | 4.322 GB | small, substantial quality loss |
+| [Llama-3.2-8B-Instruct-Q4_0.gguf](https://huggingface.co/tensorblock/Llama-3.2-8B-Instruct-GGUF/blob/main/Llama-3.2-8B-Instruct-Q4_0.gguf) | Q4_0 | 4.661 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
+| [Llama-3.2-8B-Instruct-Q4_K_S.gguf](https://huggingface.co/tensorblock/Llama-3.2-8B-Instruct-GGUF/blob/main/Llama-3.2-8B-Instruct-Q4_K_S.gguf) | Q4_K_S | 4.693 GB | small, greater quality loss |
+| [Llama-3.2-8B-Instruct-Q4_K_M.gguf](https://huggingface.co/tensorblock/Llama-3.2-8B-Instruct-GGUF/blob/main/Llama-3.2-8B-Instruct-Q4_K_M.gguf) | Q4_K_M | 4.921 GB | medium, balanced quality - recommended |
+| [Llama-3.2-8B-Instruct-Q5_0.gguf](https://huggingface.co/tensorblock/Llama-3.2-8B-Instruct-GGUF/blob/main/Llama-3.2-8B-Instruct-Q5_0.gguf) | Q5_0 | 5.599 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
+| [Llama-3.2-8B-Instruct-Q5_K_S.gguf](https://huggingface.co/tensorblock/Llama-3.2-8B-Instruct-GGUF/blob/main/Llama-3.2-8B-Instruct-Q5_K_S.gguf) | Q5_K_S | 5.599 GB | large, low quality loss - recommended |
+| [Llama-3.2-8B-Instruct-Q5_K_M.gguf](https://huggingface.co/tensorblock/Llama-3.2-8B-Instruct-GGUF/blob/main/Llama-3.2-8B-Instruct-Q5_K_M.gguf) | Q5_K_M | 5.733 GB | large, very low quality loss - recommended |
+| [Llama-3.2-8B-Instruct-Q6_K.gguf](https://huggingface.co/tensorblock/Llama-3.2-8B-Instruct-GGUF/blob/main/Llama-3.2-8B-Instruct-Q6_K.gguf) | Q6_K | 6.596 GB | very large, extremely low quality loss |
+| [Llama-3.2-8B-Instruct-Q8_0.gguf](https://huggingface.co/tensorblock/Llama-3.2-8B-Instruct-GGUF/blob/main/Llama-3.2-8B-Instruct-Q8_0.gguf) | Q8_0 | 8.541 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/Llama-3.2-8B-Instruct-GGUF --include "Llama-3.2-8B-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/Llama-3.2-8B-Instruct-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
+```