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
+llama3-8B-usenet-merged-Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
+llama3-8B-usenet-merged-Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
+llama3-8B-usenet-merged-Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+llama3-8B-usenet-merged-Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+llama3-8B-usenet-merged-Q4_0.gguf filter=lfs diff=lfs merge=lfs -text
+llama3-8B-usenet-merged-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+llama3-8B-usenet-merged-Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+llama3-8B-usenet-merged-Q5_0.gguf filter=lfs diff=lfs merge=lfs -text
+llama3-8B-usenet-merged-Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+llama3-8B-usenet-merged-Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+llama3-8B-usenet-merged-Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
+llama3-8B-usenet-merged-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,74 @@
+---
+library_name: transformers
+tags:
+- TensorBlock
+- GGUF
+base_model: giux78/llama3-8B-usenet-merged
+---
+
+<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>
+
+## giux78/llama3-8B-usenet-merged - GGUF
+
+This repo contains GGUF format model files for [giux78/llama3-8B-usenet-merged](https://huggingface.co/giux78/llama3-8B-usenet-merged).
+
+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).
+
+## 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 |
+| -------- | ---------- | --------- | ----------- |
+| [llama3-8B-usenet-merged-Q2_K.gguf](https://huggingface.co/tensorblock/llama3-8B-usenet-merged-GGUF/tree/main/llama3-8B-usenet-merged-Q2_K.gguf) | Q2_K | 2.961 GB | smallest, significant quality loss - not recommended for most purposes |
+| [llama3-8B-usenet-merged-Q3_K_S.gguf](https://huggingface.co/tensorblock/llama3-8B-usenet-merged-GGUF/tree/main/llama3-8B-usenet-merged-Q3_K_S.gguf) | Q3_K_S | 3.413 GB | very small, high quality loss |
+| [llama3-8B-usenet-merged-Q3_K_M.gguf](https://huggingface.co/tensorblock/llama3-8B-usenet-merged-GGUF/tree/main/llama3-8B-usenet-merged-Q3_K_M.gguf) | Q3_K_M | 3.743 GB | very small, high quality loss |
+| [llama3-8B-usenet-merged-Q3_K_L.gguf](https://huggingface.co/tensorblock/llama3-8B-usenet-merged-GGUF/tree/main/llama3-8B-usenet-merged-Q3_K_L.gguf) | Q3_K_L | 4.025 GB | small, substantial quality loss |
+| [llama3-8B-usenet-merged-Q4_0.gguf](https://huggingface.co/tensorblock/llama3-8B-usenet-merged-GGUF/tree/main/llama3-8B-usenet-merged-Q4_0.gguf) | Q4_0 | 4.341 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
+| [llama3-8B-usenet-merged-Q4_K_S.gguf](https://huggingface.co/tensorblock/llama3-8B-usenet-merged-GGUF/tree/main/llama3-8B-usenet-merged-Q4_K_S.gguf) | Q4_K_S | 4.370 GB | small, greater quality loss |
+| [llama3-8B-usenet-merged-Q4_K_M.gguf](https://huggingface.co/tensorblock/llama3-8B-usenet-merged-GGUF/tree/main/llama3-8B-usenet-merged-Q4_K_M.gguf) | Q4_K_M | 4.583 GB | medium, balanced quality - recommended |
+| [llama3-8B-usenet-merged-Q5_0.gguf](https://huggingface.co/tensorblock/llama3-8B-usenet-merged-GGUF/tree/main/llama3-8B-usenet-merged-Q5_0.gguf) | Q5_0 | 5.215 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
+| [llama3-8B-usenet-merged-Q5_K_S.gguf](https://huggingface.co/tensorblock/llama3-8B-usenet-merged-GGUF/tree/main/llama3-8B-usenet-merged-Q5_K_S.gguf) | Q5_K_S | 5.215 GB | large, low quality loss - recommended |
+| [llama3-8B-usenet-merged-Q5_K_M.gguf](https://huggingface.co/tensorblock/llama3-8B-usenet-merged-GGUF/tree/main/llama3-8B-usenet-merged-Q5_K_M.gguf) | Q5_K_M | 5.339 GB | large, very low quality loss - recommended |
+| [llama3-8B-usenet-merged-Q6_K.gguf](https://huggingface.co/tensorblock/llama3-8B-usenet-merged-GGUF/tree/main/llama3-8B-usenet-merged-Q6_K.gguf) | Q6_K | 6.143 GB | very large, extremely low quality loss |
+| [llama3-8B-usenet-merged-Q8_0.gguf](https://huggingface.co/tensorblock/llama3-8B-usenet-merged-GGUF/tree/main/llama3-8B-usenet-merged-Q8_0.gguf) | Q8_0 | 7.954 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/llama3-8B-usenet-merged-GGUF --include "llama3-8B-usenet-merged-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/llama3-8B-usenet-merged-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
+```

llama3-8B-usenet-merged-Q2_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b7e8522258ee1d93e4246a4e0190f135281a9e7766f417c89706fbaa244a3351
+size 3179140672

llama3-8B-usenet-merged-Q3_K_L.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:dde8aee4cb8d340c6ed397a34db78ee613ed07ea8caffea8be9f2893138b729c
+size 4321966464

llama3-8B-usenet-merged-Q3_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:af31e0e6560d6bc7470a2281ccd9c69efe2de4cdf4514c66b7dc069c5458c460
+size 4018928000

llama3-8B-usenet-merged-Q3_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c74ef2f6bdc1a393c327f3788ecc6388ee4fa89f390520e2f48762cf84f9a59d
+size 3664509312

llama3-8B-usenet-merged-Q4_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3ada29dc4de1583ef3154e64776f17f69196a1c25117eab0ffc7291639a47ad1
+size 4661222848

llama3-8B-usenet-merged-Q4_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1a985aa8eeb77d61985923ba3b853869198d36f3251871a00527a4f65496060a
+size 4920745408

llama3-8B-usenet-merged-Q4_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:11bdf63d6e364db50e60978ce2b43204319349cf26af50b3f133d1274c0aee8d
+size 4692680128

llama3-8B-usenet-merged-Q5_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:600052edc6ce9804fa893a2076686bd0fa1097d92693f4753c0c6862a249e1d9
+size 5599306176

llama3-8B-usenet-merged-Q5_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d76e2c710d400babf39d12cf4124941d3f0500afae14844b409ed232ed1ac5d0
+size 5732999616

llama3-8B-usenet-merged-Q5_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:84cdb54fbdaf26fc5d2b8f87e384bcf6829c419b4aec407ed71a4de45eabc6d9
+size 5599306176

llama3-8B-usenet-merged-Q6_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:529cef6e8b438d0ffe77366a8cfff5ded119283e13a2642f6d30e0d6a0de44bc
+size 6596019712

llama3-8B-usenet-merged-Q8_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ed0fb355592356b77b5838dcf0d72f3aa1eb4eaf3625c8ee835e12d6b14e07ad
+size 8540788096