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

GNER-LLaMA-7B-Q2_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b98408d74f1a135b894b917369bb17f1d5722bfe36a2ca58cf8c02594001f4bd
+size 2532864480

GNER-LLaMA-7B-Q3_K_L.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:31c39d3aee4fc222086445c731226e36ea2aa18f0c295926a79ee8f399d8fc31
+size 3597111776

GNER-LLaMA-7B-Q3_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4cf5b3ca8411de139c3f46423a26b6b7642c225acf0aefcec45428f2f40ad7f9
+size 3298005472

GNER-LLaMA-7B-Q3_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1d188d94284a04ada4e80ea0e399a011e06e95181cc518eff20aa7d2463b6126
+size 2948305376

GNER-LLaMA-7B-Q4_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4120863c9f1f8af9e6deaa0fa31c8498908e40d2be24f852b94e299589917843
+size 3825807840

GNER-LLaMA-7B-Q4_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fdc5c2118563b9c09efa46ac8f6add59979b06beb95286c769902049a9e3369a
+size 4081005024

GNER-LLaMA-7B-Q4_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b98a93d27ef0981ddfc3eb5332c5b224ad97fb34ad72a63b42db42572280a31a
+size 3856740832

GNER-LLaMA-7B-Q5_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3fed07ff823cb9c6bf4f09e6790e298fd54e43f5688efbda0674afe25f91f1ca
+size 4651692512

GNER-LLaMA-7B-Q5_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7817eb0af6a72b564852292a76e997b66afe0c010cd3f0f4f92d218cff109765
+size 4783157728

GNER-LLaMA-7B-Q5_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:98f9f9591deb847e8201fac7e382c513e5947f91f62245573acdeb77d921625a
+size 4651692512

GNER-LLaMA-7B-Q6_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ff845b67fb6af08338749842a8ba963d14857c3479cbc16a1648fd5fa81b3d69
+size 5529194976

GNER-LLaMA-7B-Q8_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9fe9b0d8251b57dcf11471c2daf6758fa3daad9872dc7cafb0d94fbeed29cbcc
+size 7161090528

README.md

@@ -0,0 +1,84 @@
+---
+license: apache-2.0
+datasets:
+- Universal-NER/Pile-NER-type
+language:
+- en
+metrics:
+- f1
+library_name: transformers
+pipeline_tag: text-generation
+tags:
+- TensorBlock
+- GGUF
+base_model: dyyyyyyyy/GNER-LLaMA-7B
+---
+
+<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>
+
+## dyyyyyyyy/GNER-LLaMA-7B - GGUF
+
+This repo contains GGUF format model files for [dyyyyyyyy/GNER-LLaMA-7B](https://huggingface.co/dyyyyyyyy/GNER-LLaMA-7B).
+
+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
+
+```
+
+```
+
+## Model file specification
+
+| Filename | Quant type | File Size | Description |
+| -------- | ---------- | --------- | ----------- |
+| [GNER-LLaMA-7B-Q2_K.gguf](https://huggingface.co/tensorblock/GNER-LLaMA-7B-GGUF/blob/main/GNER-LLaMA-7B-Q2_K.gguf) | Q2_K | 2.533 GB | smallest, significant quality loss - not recommended for most purposes |
+| [GNER-LLaMA-7B-Q3_K_S.gguf](https://huggingface.co/tensorblock/GNER-LLaMA-7B-GGUF/blob/main/GNER-LLaMA-7B-Q3_K_S.gguf) | Q3_K_S | 2.948 GB | very small, high quality loss |
+| [GNER-LLaMA-7B-Q3_K_M.gguf](https://huggingface.co/tensorblock/GNER-LLaMA-7B-GGUF/blob/main/GNER-LLaMA-7B-Q3_K_M.gguf) | Q3_K_M | 3.298 GB | very small, high quality loss |
+| [GNER-LLaMA-7B-Q3_K_L.gguf](https://huggingface.co/tensorblock/GNER-LLaMA-7B-GGUF/blob/main/GNER-LLaMA-7B-Q3_K_L.gguf) | Q3_K_L | 3.597 GB | small, substantial quality loss |
+| [GNER-LLaMA-7B-Q4_0.gguf](https://huggingface.co/tensorblock/GNER-LLaMA-7B-GGUF/blob/main/GNER-LLaMA-7B-Q4_0.gguf) | Q4_0 | 3.826 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
+| [GNER-LLaMA-7B-Q4_K_S.gguf](https://huggingface.co/tensorblock/GNER-LLaMA-7B-GGUF/blob/main/GNER-LLaMA-7B-Q4_K_S.gguf) | Q4_K_S | 3.857 GB | small, greater quality loss |
+| [GNER-LLaMA-7B-Q4_K_M.gguf](https://huggingface.co/tensorblock/GNER-LLaMA-7B-GGUF/blob/main/GNER-LLaMA-7B-Q4_K_M.gguf) | Q4_K_M | 4.081 GB | medium, balanced quality - recommended |
+| [GNER-LLaMA-7B-Q5_0.gguf](https://huggingface.co/tensorblock/GNER-LLaMA-7B-GGUF/blob/main/GNER-LLaMA-7B-Q5_0.gguf) | Q5_0 | 4.652 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
+| [GNER-LLaMA-7B-Q5_K_S.gguf](https://huggingface.co/tensorblock/GNER-LLaMA-7B-GGUF/blob/main/GNER-LLaMA-7B-Q5_K_S.gguf) | Q5_K_S | 4.652 GB | large, low quality loss - recommended |
+| [GNER-LLaMA-7B-Q5_K_M.gguf](https://huggingface.co/tensorblock/GNER-LLaMA-7B-GGUF/blob/main/GNER-LLaMA-7B-Q5_K_M.gguf) | Q5_K_M | 4.783 GB | large, very low quality loss - recommended |
+| [GNER-LLaMA-7B-Q6_K.gguf](https://huggingface.co/tensorblock/GNER-LLaMA-7B-GGUF/blob/main/GNER-LLaMA-7B-Q6_K.gguf) | Q6_K | 5.529 GB | very large, extremely low quality loss |
+| [GNER-LLaMA-7B-Q8_0.gguf](https://huggingface.co/tensorblock/GNER-LLaMA-7B-GGUF/blob/main/GNER-LLaMA-7B-Q8_0.gguf) | Q8_0 | 7.161 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/GNER-LLaMA-7B-GGUF --include "GNER-LLaMA-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/GNER-LLaMA-7B-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
+```