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
+model_6hs-Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
+model_6hs-Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
+model_6hs-Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+model_6hs-Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+model_6hs-Q4_0.gguf filter=lfs diff=lfs merge=lfs -text
+model_6hs-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+model_6hs-Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+model_6hs-Q5_0.gguf filter=lfs diff=lfs merge=lfs -text
+model_6hs-Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+model_6hs-Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+model_6hs-Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
+model_6hs-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,87 @@
+---
+language:
+- en
+library_name: transformers
+license: apache-2.0
+tags:
+- transformers
+- TensorBlock
+- GGUF
+base_model: lucifer-ms/model_6hs
+---
+
+<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>
+
+## lucifer-ms/model_6hs - GGUF
+
+This repo contains GGUF format model files for [lucifer-ms/model_6hs](https://huggingface.co/lucifer-ms/model_6hs).
+
+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 |
+| -------- | ---------- | --------- | ----------- |
+| [model_6hs-Q2_K.gguf](https://huggingface.co/tensorblock/model_6hs-GGUF/blob/main/model_6hs-Q2_K.gguf) | Q2_K | 3.179 GB | smallest, significant quality loss - not recommended for most purposes |
+| [model_6hs-Q3_K_S.gguf](https://huggingface.co/tensorblock/model_6hs-GGUF/blob/main/model_6hs-Q3_K_S.gguf) | Q3_K_S | 3.665 GB | very small, high quality loss |
+| [model_6hs-Q3_K_M.gguf](https://huggingface.co/tensorblock/model_6hs-GGUF/blob/main/model_6hs-Q3_K_M.gguf) | Q3_K_M | 4.019 GB | very small, high quality loss |
+| [model_6hs-Q3_K_L.gguf](https://huggingface.co/tensorblock/model_6hs-GGUF/blob/main/model_6hs-Q3_K_L.gguf) | Q3_K_L | 4.322 GB | small, substantial quality loss |
+| [model_6hs-Q4_0.gguf](https://huggingface.co/tensorblock/model_6hs-GGUF/blob/main/model_6hs-Q4_0.gguf) | Q4_0 | 4.661 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
+| [model_6hs-Q4_K_S.gguf](https://huggingface.co/tensorblock/model_6hs-GGUF/blob/main/model_6hs-Q4_K_S.gguf) | Q4_K_S | 4.693 GB | small, greater quality loss |
+| [model_6hs-Q4_K_M.gguf](https://huggingface.co/tensorblock/model_6hs-GGUF/blob/main/model_6hs-Q4_K_M.gguf) | Q4_K_M | 4.921 GB | medium, balanced quality - recommended |
+| [model_6hs-Q5_0.gguf](https://huggingface.co/tensorblock/model_6hs-GGUF/blob/main/model_6hs-Q5_0.gguf) | Q5_0 | 5.599 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
+| [model_6hs-Q5_K_S.gguf](https://huggingface.co/tensorblock/model_6hs-GGUF/blob/main/model_6hs-Q5_K_S.gguf) | Q5_K_S | 5.599 GB | large, low quality loss - recommended |
+| [model_6hs-Q5_K_M.gguf](https://huggingface.co/tensorblock/model_6hs-GGUF/blob/main/model_6hs-Q5_K_M.gguf) | Q5_K_M | 5.733 GB | large, very low quality loss - recommended |
+| [model_6hs-Q6_K.gguf](https://huggingface.co/tensorblock/model_6hs-GGUF/blob/main/model_6hs-Q6_K.gguf) | Q6_K | 6.596 GB | very large, extremely low quality loss |
+| [model_6hs-Q8_0.gguf](https://huggingface.co/tensorblock/model_6hs-GGUF/blob/main/model_6hs-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/model_6hs-GGUF --include "model_6hs-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/model_6hs-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
+```

model_6hs-Q2_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:aead1eda44adc22bf9eb7ffd094f1de7211741cf673ef0895153f0ab054d7b1a
+size 3179136192

model_6hs-Q3_K_L.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:528e6f370e2899b5d1e190e69972d8eb0572fb099e33f1dba74096784fca04b7
+size 4321961152

model_6hs-Q3_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:dce3892bf91115ed89f8dacfa826414bc1008cbe31f3910777d73721f456b61c
+size 4018922688

model_6hs-Q3_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0f6941196d05e57cd5e540d87e2813bbfbe2827f33d3f88e365c82974a59e2ba
+size 3664504000

model_6hs-Q4_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:661cedccf9caf9e2bbb7ced37f70b7e974506bb2e14c85d6747e1b9f29a36bcb
+size 4661216448

model_6hs-Q4_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2e4ce807e872974a3600892d854ba79b86db1a14554c78cd99a5a5f511b15bea
+size 4920739008

model_6hs-Q4_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4dfb69154b6f0ab93401460bea76731bf16bf5363ad40c16d85a988fed940b49
+size 4692673728

model_6hs-Q5_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0092f72ecb4769a5210f9e3b0812ab9910d38597bc2ebe0cd1d8c64033954820
+size 5599298752

model_6hs-Q5_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8e74a837a5318bb05789b60f0a6f012cfb78840d2cd01f135068264aff6f39d5
+size 5732992192

model_6hs-Q5_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:605bedd2d0f2678a932b7cc369870efdc06adb34d8125a7b5ccc3dd205b30b1c
+size 5599298752

model_6hs-Q6_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:dd3298f5f9e317019d276869a60a0b08188a5f00c81fdfb4a8af97a6eaaa0c2d
+size 6596011200

model_6hs-Q8_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0c1453c77b4fa8823802388562e6ccdda7d35a47e0f2e457ee393bd80231ff73
+size 8540775616