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
+Llama2-MedTuned-7b-Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
+Llama2-MedTuned-7b-Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
+Llama2-MedTuned-7b-Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Llama2-MedTuned-7b-Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Llama2-MedTuned-7b-Q4_0.gguf filter=lfs diff=lfs merge=lfs -text
+Llama2-MedTuned-7b-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Llama2-MedTuned-7b-Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Llama2-MedTuned-7b-Q5_0.gguf filter=lfs diff=lfs merge=lfs -text
+Llama2-MedTuned-7b-Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Llama2-MedTuned-7b-Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Llama2-MedTuned-7b-Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
+Llama2-MedTuned-7b-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text

Llama2-MedTuned-7b-Q2_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7a197c67e76520966114f22142ab82fc4b742dfa009a7d0af1a20c0ff6b8b6b1
+size 2532864128

Llama2-MedTuned-7b-Q3_K_L.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cf3ca24534715a7e5dc69aebc0e14c5e77d5c569e640ff64d119e67e0e7b4cfe
+size 3597111424

Llama2-MedTuned-7b-Q3_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:83afec8d42207bac7f15f4f258ba42ff914aacca15f71e9e6f96f89e83a294a6
+size 3298005120

Llama2-MedTuned-7b-Q3_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6ed961e310484bf64ddb0e8e288c4182c0fb67d421933902443108cea4ed4537
+size 2948305024

Llama2-MedTuned-7b-Q4_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:aea5cfd9d7fcd115c38aef9aa3d1d2beb5531b8ccb64f4f9fef98f6c28069399
+size 3825807488

Llama2-MedTuned-7b-Q4_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3fbeb77ffab14ae1d63b085be0b152b2a67f963f53c2ecbf323b30d5884c09ff
+size 4081004672

Llama2-MedTuned-7b-Q4_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:adaa975542517b79e53c9c9baaab21034fc7b03c5c1ed0f62b6d53d671aa2406
+size 3856740480

Llama2-MedTuned-7b-Q5_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:224ab60b83e238f91e05c4f08f63cdae9085ceeec3cb819db1930b5ddbd19cd7
+size 4651692160

Llama2-MedTuned-7b-Q5_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:65eab2cbb90debef4b676007fe5e57ced650640df620b833cd20f03c2bc3b96d
+size 4783157376

Llama2-MedTuned-7b-Q5_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fdfb3e7deb7e93c3701d527d6ee49cc2613463c051cb0bd6d2511720a4ebfc0a
+size 4651692160

Llama2-MedTuned-7b-Q6_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:076b26e7754085c0c7cbeb38785911573451bd4fba1be4bc6287bcebad0e4f2e
+size 5529194624

Llama2-MedTuned-7b-Q8_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3bd7d65aa674b53cb1088b944d90b74d943ecc263bbfd873b7673d834d3de802
+size 7161090176

README.md

@@ -0,0 +1,121 @@
+---
+title: Llama2-MedTuned-7b
+emoji: 🧬
+colorFrom: blue
+colorTo: green
+sdk: static
+pinned: false
+license: apache-2.0
+tags:
+- biomedical
+- clinical
+- medical
+- TensorBlock
+- GGUF
+base_model: nlpie/Llama2-MedTuned-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>
+
+## nlpie/Llama2-MedTuned-7b - GGUF
+
+This repo contains GGUF format model files for [nlpie/Llama2-MedTuned-7b](https://huggingface.co/nlpie/Llama2-MedTuned-7b).
+
+The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b5165](https://github.com/ggml-org/llama.cpp/commit/1d735c0b4fa0551c51c2f4ac888dd9a01f447985).
+
+## Our projects
+<table border="1" cellspacing="0" cellpadding="10">
+<tr>
+  <th style="font-size: 25px;">Awesome MCP Servers</th>
+  <th style="font-size: 25px;">TensorBlock Studio</th>
+</tr>
+  <tr>
+    <th><img src="https://imgur.com/2Xov7B7.jpeg" alt="Project A" width="450"/></th>
+    <th><img src="https://imgur.com/pJcmF5u.jpeg" alt="Project B" width="450"/></th>
+  </tr>
+  <tr>
+    <th>A comprehensive collection of Model Context Protocol (MCP) servers.</th>
+    <th>A lightweight, open, and extensible multi-LLM interaction studio.</th>
+  </tr>
+<tr>
+  <th>
+    <a href="https://github.com/TensorBlock/awesome-mcp-servers" target="_blank" style="
+      display: inline-block;
+      padding: 8px 16px;
+      background-color: #FF7F50;
+      color: white;
+      text-decoration: none;
+      border-radius: 6px;
+      font-weight: bold;
+      font-family: sans-serif;
+    ">👀 See what we built 👀</a>
+  </th>
+  <th>
+    <a href="https://github.com/TensorBlock/TensorBlock-Studio" target="_blank" style="
+      display: inline-block;
+      padding: 8px 16px;
+      background-color: #FF7F50;
+      color: white;
+      text-decoration: none;
+      border-radius: 6px;
+      font-weight: bold;
+      font-family: sans-serif;
+    ">👀 See what we built 👀</a>
+  </th>
+</tr>
+</table>
+
+## Prompt template
+
+```
+Unable to determine prompt format automatically. Please check the original model repository for the correct prompt format.
+```
+
+## Model file specification
+
+| Filename | Quant type | File Size | Description |
+| -------- | ---------- | --------- | ----------- |
+| [Llama2-MedTuned-7b-Q2_K.gguf](https://huggingface.co/tensorblock/nlpie_Llama2-MedTuned-7b-GGUF/blob/main/Llama2-MedTuned-7b-Q2_K.gguf) | Q2_K | 2.533 GB | smallest, significant quality loss - not recommended for most purposes |
+| [Llama2-MedTuned-7b-Q3_K_S.gguf](https://huggingface.co/tensorblock/nlpie_Llama2-MedTuned-7b-GGUF/blob/main/Llama2-MedTuned-7b-Q3_K_S.gguf) | Q3_K_S | 2.948 GB | very small, high quality loss |
+| [Llama2-MedTuned-7b-Q3_K_M.gguf](https://huggingface.co/tensorblock/nlpie_Llama2-MedTuned-7b-GGUF/blob/main/Llama2-MedTuned-7b-Q3_K_M.gguf) | Q3_K_M | 3.298 GB | very small, high quality loss |
+| [Llama2-MedTuned-7b-Q3_K_L.gguf](https://huggingface.co/tensorblock/nlpie_Llama2-MedTuned-7b-GGUF/blob/main/Llama2-MedTuned-7b-Q3_K_L.gguf) | Q3_K_L | 3.597 GB | small, substantial quality loss |
+| [Llama2-MedTuned-7b-Q4_0.gguf](https://huggingface.co/tensorblock/nlpie_Llama2-MedTuned-7b-GGUF/blob/main/Llama2-MedTuned-7b-Q4_0.gguf) | Q4_0 | 3.826 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
+| [Llama2-MedTuned-7b-Q4_K_S.gguf](https://huggingface.co/tensorblock/nlpie_Llama2-MedTuned-7b-GGUF/blob/main/Llama2-MedTuned-7b-Q4_K_S.gguf) | Q4_K_S | 3.857 GB | small, greater quality loss |
+| [Llama2-MedTuned-7b-Q4_K_M.gguf](https://huggingface.co/tensorblock/nlpie_Llama2-MedTuned-7b-GGUF/blob/main/Llama2-MedTuned-7b-Q4_K_M.gguf) | Q4_K_M | 4.081 GB | medium, balanced quality - recommended |
+| [Llama2-MedTuned-7b-Q5_0.gguf](https://huggingface.co/tensorblock/nlpie_Llama2-MedTuned-7b-GGUF/blob/main/Llama2-MedTuned-7b-Q5_0.gguf) | Q5_0 | 4.652 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
+| [Llama2-MedTuned-7b-Q5_K_S.gguf](https://huggingface.co/tensorblock/nlpie_Llama2-MedTuned-7b-GGUF/blob/main/Llama2-MedTuned-7b-Q5_K_S.gguf) | Q5_K_S | 4.652 GB | large, low quality loss - recommended |
+| [Llama2-MedTuned-7b-Q5_K_M.gguf](https://huggingface.co/tensorblock/nlpie_Llama2-MedTuned-7b-GGUF/blob/main/Llama2-MedTuned-7b-Q5_K_M.gguf) | Q5_K_M | 4.783 GB | large, very low quality loss - recommended |
+| [Llama2-MedTuned-7b-Q6_K.gguf](https://huggingface.co/tensorblock/nlpie_Llama2-MedTuned-7b-GGUF/blob/main/Llama2-MedTuned-7b-Q6_K.gguf) | Q6_K | 5.529 GB | very large, extremely low quality loss |
+| [Llama2-MedTuned-7b-Q8_0.gguf](https://huggingface.co/tensorblock/nlpie_Llama2-MedTuned-7b-GGUF/blob/main/Llama2-MedTuned-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/nlpie_Llama2-MedTuned-7b-GGUF --include "Llama2-MedTuned-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/nlpie_Llama2-MedTuned-7b-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
+```