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
+Qra-7b-Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
+Qra-7b-Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
+Qra-7b-Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Qra-7b-Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Qra-7b-Q4_0.gguf filter=lfs diff=lfs merge=lfs -text
+Qra-7b-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Qra-7b-Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Qra-7b-Q5_0.gguf filter=lfs diff=lfs merge=lfs -text
+Qra-7b-Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Qra-7b-Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Qra-7b-Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
+Qra-7b-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text

Qra-7b-Q2_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:192441c3355418098b0cb9dd72ed17bd6680f6a6e7f3512472915811e30ceb94
+size 2532864096

Qra-7b-Q3_K_L.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0dfe3d53df2e8105883a4f919fa45a8464bbfc57ac71858823fbc2602357a04d
+size 3597111392

Qra-7b-Q3_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d78846efcc2fa0e53e2ee7334cf00781287bd3fb62c70549b33503f0326c7a9e
+size 3298005088

Qra-7b-Q3_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fe292414b4f69e26a6189fd6c612e768b2a9ac34d73bcab96c4e4a2f09ee7ccc
+size 2948304992

Qra-7b-Q4_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3c3047d7d29e06151c9c8d673af16b566e60592d60b01d45a2ec188be16b3dd6
+size 3825807456

Qra-7b-Q4_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b2d3774d2834e6571f1ec0347449f65961b1f56a6f0cd606dfe72f3a87669b81
+size 4081004640

Qra-7b-Q4_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9808ba8b4229f2436e7905111eb34e96c33a7a5e2ef607042c179282e304ca28
+size 3856740448

Qra-7b-Q5_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d100a90c8462d47400824dc0cb66f73e661ce6f4e4e57de6f9d2252265b2cbb4
+size 4651692128

Qra-7b-Q5_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fe70ff103457274517bdbb2ea65e15faa389c796e16d9aeca3587e3d2e546f50
+size 4783157344

Qra-7b-Q5_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8f91b92384f22e8dbc4bca8bdc9103f7af1e8bdaf4d83dd69e5f95da42a0cdfa
+size 4651692128

Qra-7b-Q6_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:77fc7fefc99d7b3bafcd08a8ae8e7b3a89aaa06e557f59569b2dc6fc738250f2
+size 5529194592

Qra-7b-Q8_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:28efbfd1114d2a0f06bd5a152a057189867b7d06e3c87bcca7a7b4469094007d
+size 7161090144

README.md

@@ -0,0 +1,70 @@
+---
+license: llama2
+base_model: OPI-PG/Qra-7b
+tags:
+- TensorBlock
+- GGUF
+---
+
+<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>
+
+## OPI-PG/Qra-7b - GGUF
+
+This repo contains GGUF format model files for [OPI-PG/Qra-7b](https://huggingface.co/OPI-PG/Qra-7b).
+
+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
+
+```
+
+```
+
+## Model file specification
+
+| Filename | Quant type | File Size | Description |
+| -------- | ---------- | --------- | ----------- |
+| [Qra-7b-Q2_K.gguf](https://huggingface.co/tensorblock/Qra-7b-GGUF/tree/main/Qra-7b-Q2_K.gguf) | Q2_K | 2.359 GB | smallest, significant quality loss - not recommended for most purposes |
+| [Qra-7b-Q3_K_S.gguf](https://huggingface.co/tensorblock/Qra-7b-GGUF/tree/main/Qra-7b-Q3_K_S.gguf) | Q3_K_S | 2.746 GB | very small, high quality loss |
+| [Qra-7b-Q3_K_M.gguf](https://huggingface.co/tensorblock/Qra-7b-GGUF/tree/main/Qra-7b-Q3_K_M.gguf) | Q3_K_M | 3.072 GB | very small, high quality loss |
+| [Qra-7b-Q3_K_L.gguf](https://huggingface.co/tensorblock/Qra-7b-GGUF/tree/main/Qra-7b-Q3_K_L.gguf) | Q3_K_L | 3.350 GB | small, substantial quality loss |
+| [Qra-7b-Q4_0.gguf](https://huggingface.co/tensorblock/Qra-7b-GGUF/tree/main/Qra-7b-Q4_0.gguf) | Q4_0 | 3.563 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
+| [Qra-7b-Q4_K_S.gguf](https://huggingface.co/tensorblock/Qra-7b-GGUF/tree/main/Qra-7b-Q4_K_S.gguf) | Q4_K_S | 3.592 GB | small, greater quality loss |
+| [Qra-7b-Q4_K_M.gguf](https://huggingface.co/tensorblock/Qra-7b-GGUF/tree/main/Qra-7b-Q4_K_M.gguf) | Q4_K_M | 3.801 GB | medium, balanced quality - recommended |
+| [Qra-7b-Q5_0.gguf](https://huggingface.co/tensorblock/Qra-7b-GGUF/tree/main/Qra-7b-Q5_0.gguf) | Q5_0 | 4.332 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
+| [Qra-7b-Q5_K_S.gguf](https://huggingface.co/tensorblock/Qra-7b-GGUF/tree/main/Qra-7b-Q5_K_S.gguf) | Q5_K_S | 4.332 GB | large, low quality loss - recommended |
+| [Qra-7b-Q5_K_M.gguf](https://huggingface.co/tensorblock/Qra-7b-GGUF/tree/main/Qra-7b-Q5_K_M.gguf) | Q5_K_M | 4.455 GB | large, very low quality loss - recommended |
+| [Qra-7b-Q6_K.gguf](https://huggingface.co/tensorblock/Qra-7b-GGUF/tree/main/Qra-7b-Q6_K.gguf) | Q6_K | 5.149 GB | very large, extremely low quality loss |
+| [Qra-7b-Q8_0.gguf](https://huggingface.co/tensorblock/Qra-7b-GGUF/tree/main/Qra-7b-Q8_0.gguf) | Q8_0 | 6.669 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/Qra-7b-GGUF --include "Qra-7b-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/Qra-7b-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
+```