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-uncensored-Dare-1-Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-3-uncensored-Dare-1-Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-3-uncensored-Dare-1-Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-3-uncensored-Dare-1-Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-3-uncensored-Dare-1-Q4_0.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-3-uncensored-Dare-1-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-3-uncensored-Dare-1-Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-3-uncensored-Dare-1-Q5_0.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-3-uncensored-Dare-1-Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-3-uncensored-Dare-1-Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-3-uncensored-Dare-1-Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-3-uncensored-Dare-1-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text

Llama-3-uncensored-Dare-1-Q2_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:77f8eddf8f7188e887a4d0e95728d17deccc3f77bad9863ba6e02d67fb6fe9f0
+size 3179131744

Llama-3-uncensored-Dare-1-Q3_K_L.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0eaa5c5484ad0943afb7068a8e9a5c677157fedeee5e6c2400f78d1245b7c470
+size 4321956704

Llama-3-uncensored-Dare-1-Q3_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:713c4bb6f975fa09e59a85debf6a48209982146513b6696530cb89bac2028a7e
+size 4018918240

Llama-3-uncensored-Dare-1-Q3_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4aa39532b065a42cd5301a98d2e4318938e8e911f4bac8273ea5d9a0e287bf13
+size 3664499552

Llama-3-uncensored-Dare-1-Q4_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3e9b6524b35280603dcf7db2fc21f8cca6258d25fda99318f2e6bf0e389e5ba7
+size 4661212000

Llama-3-uncensored-Dare-1-Q4_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e3de83b32327389527d952233d85c0808e724fa03065d9144321a621a772e721
+size 4920734560

Llama-3-uncensored-Dare-1-Q4_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3c2ae8eb6b6006548d69185aba11af23a449205052b50f28c98e188124c2640f
+size 4692669280

Llama-3-uncensored-Dare-1-Q5_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:010cd6277f26a14019bc7d79e752b81e4e104e804998983545d05ac52d5ddd87
+size 5599294304

Llama-3-uncensored-Dare-1-Q5_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b35609edb106d30bfcd2c202e30b1c5d8a375faf95a3b64f4c67032fe1fa65e8
+size 5732987744

Llama-3-uncensored-Dare-1-Q5_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:26bb9a643f090a5ece61a08f6df020985eec8c2ca6e386be455a1f7de0eb2db8
+size 5599294304

Llama-3-uncensored-Dare-1-Q6_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b9fc08d7f4d0671301fc8dfeeebe6415e04d748429d284aab574e9e7acd43216
+size 6596006752

Llama-3-uncensored-Dare-1-Q8_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b2c6041c035a94ad5c77d8cc57a3f9cab9bfb450fe561ddb887e25f57f65dc36
+size 8540771168

README.md

@@ -0,0 +1,86 @@
+---
+license: apache-2.0
+tags:
+- merge
+- mergekit
+- lazymergekit
+- nbeerbower/llama-3-spicy-abliterated-stella-8B
+- Azazelle/L3-RP_io
+- aifeifei798/llama3-8B-DarkIdol-2.1-Uncensored-1048K
+- TensorBlock
+- GGUF
+base_model: ModelsLab/Llama-3-uncensored-Dare-1
+---
+
+<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>
+
+## ModelsLab/Llama-3-uncensored-Dare-1 - GGUF
+
+This repo contains GGUF format model files for [ModelsLab/Llama-3-uncensored-Dare-1](https://huggingface.co/ModelsLab/Llama-3-uncensored-Dare-1).
+
+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|>
+
+{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-uncensored-Dare-1-Q2_K.gguf](https://huggingface.co/tensorblock/Llama-3-uncensored-Dare-1-GGUF/blob/main/Llama-3-uncensored-Dare-1-Q2_K.gguf) | Q2_K | 3.179 GB | smallest, significant quality loss - not recommended for most purposes |
+| [Llama-3-uncensored-Dare-1-Q3_K_S.gguf](https://huggingface.co/tensorblock/Llama-3-uncensored-Dare-1-GGUF/blob/main/Llama-3-uncensored-Dare-1-Q3_K_S.gguf) | Q3_K_S | 3.664 GB | very small, high quality loss |
+| [Llama-3-uncensored-Dare-1-Q3_K_M.gguf](https://huggingface.co/tensorblock/Llama-3-uncensored-Dare-1-GGUF/blob/main/Llama-3-uncensored-Dare-1-Q3_K_M.gguf) | Q3_K_M | 4.019 GB | very small, high quality loss |
+| [Llama-3-uncensored-Dare-1-Q3_K_L.gguf](https://huggingface.co/tensorblock/Llama-3-uncensored-Dare-1-GGUF/blob/main/Llama-3-uncensored-Dare-1-Q3_K_L.gguf) | Q3_K_L | 4.322 GB | small, substantial quality loss |
+| [Llama-3-uncensored-Dare-1-Q4_0.gguf](https://huggingface.co/tensorblock/Llama-3-uncensored-Dare-1-GGUF/blob/main/Llama-3-uncensored-Dare-1-Q4_0.gguf) | Q4_0 | 4.661 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
+| [Llama-3-uncensored-Dare-1-Q4_K_S.gguf](https://huggingface.co/tensorblock/Llama-3-uncensored-Dare-1-GGUF/blob/main/Llama-3-uncensored-Dare-1-Q4_K_S.gguf) | Q4_K_S | 4.693 GB | small, greater quality loss |
+| [Llama-3-uncensored-Dare-1-Q4_K_M.gguf](https://huggingface.co/tensorblock/Llama-3-uncensored-Dare-1-GGUF/blob/main/Llama-3-uncensored-Dare-1-Q4_K_M.gguf) | Q4_K_M | 4.921 GB | medium, balanced quality - recommended |
+| [Llama-3-uncensored-Dare-1-Q5_0.gguf](https://huggingface.co/tensorblock/Llama-3-uncensored-Dare-1-GGUF/blob/main/Llama-3-uncensored-Dare-1-Q5_0.gguf) | Q5_0 | 5.599 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
+| [Llama-3-uncensored-Dare-1-Q5_K_S.gguf](https://huggingface.co/tensorblock/Llama-3-uncensored-Dare-1-GGUF/blob/main/Llama-3-uncensored-Dare-1-Q5_K_S.gguf) | Q5_K_S | 5.599 GB | large, low quality loss - recommended |
+| [Llama-3-uncensored-Dare-1-Q5_K_M.gguf](https://huggingface.co/tensorblock/Llama-3-uncensored-Dare-1-GGUF/blob/main/Llama-3-uncensored-Dare-1-Q5_K_M.gguf) | Q5_K_M | 5.733 GB | large, very low quality loss - recommended |
+| [Llama-3-uncensored-Dare-1-Q6_K.gguf](https://huggingface.co/tensorblock/Llama-3-uncensored-Dare-1-GGUF/blob/main/Llama-3-uncensored-Dare-1-Q6_K.gguf) | Q6_K | 6.596 GB | very large, extremely low quality loss |
+| [Llama-3-uncensored-Dare-1-Q8_0.gguf](https://huggingface.co/tensorblock/Llama-3-uncensored-Dare-1-GGUF/blob/main/Llama-3-uncensored-Dare-1-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-uncensored-Dare-1-GGUF --include "Llama-3-uncensored-Dare-1-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-uncensored-Dare-1-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
+```