Upload folder using huggingface_hub

.gitattributes

@@ -33,3 +33,17 @@ 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-3.3-70B-Instruct-ablated-Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-3.3-70B-Instruct-ablated-Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-3.3-70B-Instruct-ablated-Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-3.3-70B-Instruct-ablated-Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-3.3-70B-Instruct-ablated-Q4_0.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-3.3-70B-Instruct-ablated-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-3.3-70B-Instruct-ablated-Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-3.3-70B-Instruct-ablated-Q5_0.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-3.3-70B-Instruct-ablated-Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-3.3-70B-Instruct-ablated-Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-3.3-70B-Instruct-ablated-Q6_K/Llama-3.3-70B-Instruct-ablated-Q6_K-00001-of-00002.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-3.3-70B-Instruct-ablated-Q6_K/Llama-3.3-70B-Instruct-ablated-Q6_K-00002-of-00002.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-3.3-70B-Instruct-ablated-Q8_0/Llama-3.3-70B-Instruct-ablated-Q8_0-00001-of-00003.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-3.3-70B-Instruct-ablated-Q8_0/Llama-3.3-70B-Instruct-ablated-Q8_0-00002-of-00003.gguf filter=lfs diff=lfs merge=lfs -text

Llama-3.3-70B-Instruct-ablated-Q2_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:332563feaf12275a6d23f36769dad7de5962763e7b2eb83866becdf74dc22f6c
+size 26375113504

Llama-3.3-70B-Instruct-ablated-Q3_K_L.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6e15224d8a61a49b54d2f4c68e096e78008114d0f65941ef501b8fc28046f9e4
+size 37140597536

Llama-3.3-70B-Instruct-ablated-Q3_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f597f54a7cdea6fe114d54ad4888e385c3b6565dbbd6fc06810492cd82c743f2
+size 34267499296

Llama-3.3-70B-Instruct-ablated-Q3_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ac197b1d0bc02a4d1c02b5bf19a6f2556f8a66f8a5b2c109cce0198c121fe98a
+size 30912056096

Llama-3.3-70B-Instruct-ablated-Q4_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:559aff311e2d43878e765f9a01270624ed584daf47da3fa2cffdec7ae8bf6a91
+size 39969737504

Llama-3.3-70B-Instruct-ablated-Q4_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3fd56af71c84a0c95ed07fd9010e222e9d75b0ea451d190c58148365378ef042
+size 42520398624

Llama-3.3-70B-Instruct-ablated-Q4_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ae8c222c53356bd33f08053f18ba458b9560dd55439a934f3e7ec27ae8b28e60
+size 40347224864

Llama-3.3-70B-Instruct-ablated-Q5_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f5e962fc77385fb512a42fc12dae959460f07e0b41280dd5b6ae0ca36c02e32b
+size 48657451808

Llama-3.3-70B-Instruct-ablated-Q5_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4aa02cf341e1e15bad8721face2e3144b190bdb852f0f85f096524e663342c18
+size 49949821728

Llama-3.3-70B-Instruct-ablated-Q5_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7127c06c9ef935239025eeccd4cae21207370b6d36b485d7b5fd9a6e1a055222
+size 48657451808

Llama-3.3-70B-Instruct-ablated-Q6_K/Llama-3.3-70B-Instruct-ablated-Q6_K-00001-of-00002.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2f0375a21719ae9d628c4e4c740500e48c88612a936d8e5427564c7f8f5b70ba
+size 34847475552

Llama-3.3-70B-Instruct-ablated-Q6_K/Llama-3.3-70B-Instruct-ablated-Q6_K-00002-of-00002.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5b6a63b95793ac4ce979a7610005e06e721bd580bfa991f973b6a4619599159e
+size 23040672928

Llama-3.3-70B-Instruct-ablated-Q8_0/Llama-3.3-70B-Instruct-ablated-Q8_0-00001-of-00003.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:55b6794465d979941709c6920f54954dca3e8173e6fa048aecc39715d4511081
+size 34980016000

Llama-3.3-70B-Instruct-ablated-Q8_0/Llama-3.3-70B-Instruct-ablated-Q8_0-00002-of-00003.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7a8bec9460194817e26175e0bd04ade5414d5894dfbb178a93877236a5b3fbdf
+size 15365050368

README.md

@@ -0,0 +1,101 @@
+---
+base_model: NaniDAO/Llama-3.3-70B-Instruct-ablated
+tags:
+- ablated
+- ablation
+- uncensored
+- nani
+- llama
+- llama-3
+- chat
+- instruct
+- TensorBlock
+- GGUF
+library_name: transformers
+license: llama3
+language:
+- en
+- fr
+- it
+- pt
+- hi
+- es
+- th
+- de
+---
+
+<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>
+
+## NaniDAO/Llama-3.3-70B-Instruct-ablated - GGUF
+
+This repo contains GGUF format model files for [NaniDAO/Llama-3.3-70B-Instruct-ablated](https://huggingface.co/NaniDAO/Llama-3.3-70B-Instruct-ablated).
+
+The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b4242](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-3.3-70B-Instruct-ablated-Q2_K.gguf](https://huggingface.co/tensorblock/Llama-3.3-70B-Instruct-ablated-GGUF/blob/main/Llama-3.3-70B-Instruct-ablated-Q2_K.gguf) | Q2_K | 26.375 GB | smallest, significant quality loss - not recommended for most purposes |
+| [Llama-3.3-70B-Instruct-ablated-Q3_K_S.gguf](https://huggingface.co/tensorblock/Llama-3.3-70B-Instruct-ablated-GGUF/blob/main/Llama-3.3-70B-Instruct-ablated-Q3_K_S.gguf) | Q3_K_S | 30.912 GB | very small, high quality loss |
+| [Llama-3.3-70B-Instruct-ablated-Q3_K_M.gguf](https://huggingface.co/tensorblock/Llama-3.3-70B-Instruct-ablated-GGUF/blob/main/Llama-3.3-70B-Instruct-ablated-Q3_K_M.gguf) | Q3_K_M | 34.267 GB | very small, high quality loss |
+| [Llama-3.3-70B-Instruct-ablated-Q3_K_L.gguf](https://huggingface.co/tensorblock/Llama-3.3-70B-Instruct-ablated-GGUF/blob/main/Llama-3.3-70B-Instruct-ablated-Q3_K_L.gguf) | Q3_K_L | 37.141 GB | small, substantial quality loss |
+| [Llama-3.3-70B-Instruct-ablated-Q4_0.gguf](https://huggingface.co/tensorblock/Llama-3.3-70B-Instruct-ablated-GGUF/blob/main/Llama-3.3-70B-Instruct-ablated-Q4_0.gguf) | Q4_0 | 39.970 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
+| [Llama-3.3-70B-Instruct-ablated-Q4_K_S.gguf](https://huggingface.co/tensorblock/Llama-3.3-70B-Instruct-ablated-GGUF/blob/main/Llama-3.3-70B-Instruct-ablated-Q4_K_S.gguf) | Q4_K_S | 40.347 GB | small, greater quality loss |
+| [Llama-3.3-70B-Instruct-ablated-Q4_K_M.gguf](https://huggingface.co/tensorblock/Llama-3.3-70B-Instruct-ablated-GGUF/blob/main/Llama-3.3-70B-Instruct-ablated-Q4_K_M.gguf) | Q4_K_M | 42.520 GB | medium, balanced quality - recommended |
+| [Llama-3.3-70B-Instruct-ablated-Q5_0.gguf](https://huggingface.co/tensorblock/Llama-3.3-70B-Instruct-ablated-GGUF/blob/main/Llama-3.3-70B-Instruct-ablated-Q5_0.gguf) | Q5_0 | 48.657 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
+| [Llama-3.3-70B-Instruct-ablated-Q5_K_S.gguf](https://huggingface.co/tensorblock/Llama-3.3-70B-Instruct-ablated-GGUF/blob/main/Llama-3.3-70B-Instruct-ablated-Q5_K_S.gguf) | Q5_K_S | 48.657 GB | large, low quality loss - recommended |
+| [Llama-3.3-70B-Instruct-ablated-Q5_K_M.gguf](https://huggingface.co/tensorblock/Llama-3.3-70B-Instruct-ablated-GGUF/blob/main/Llama-3.3-70B-Instruct-ablated-Q5_K_M.gguf) | Q5_K_M | 49.950 GB | large, very low quality loss - recommended |
+| [Llama-3.3-70B-Instruct-ablated-Q6_K](https://huggingface.co/tensorblock/Llama-3.3-70B-Instruct-ablated-GGUF/blob/main/Llama-3.3-70B-Instruct-ablated-Q6_K) | Q6_K | 57.888 GB | very large, extremely low quality loss |
+| [Llama-3.3-70B-Instruct-ablated-Q8_0](https://huggingface.co/tensorblock/Llama-3.3-70B-Instruct-ablated-GGUF/blob/main/Llama-3.3-70B-Instruct-ablated-Q8_0) | Q8_0 | 50.345 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-3.3-70B-Instruct-ablated-GGUF --include "Llama-3.3-70B-Instruct-ablated-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-3.3-70B-Instruct-ablated-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
+```