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
+Llama-medx_v0-Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-medx_v0-Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-medx_v0-Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-medx_v0-Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-medx_v0-Q4_0.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-medx_v0-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-medx_v0-Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-medx_v0-Q5_0.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-medx_v0-Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-medx_v0-Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-medx_v0-Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-medx_v0-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text

Llama-medx_v0-Q2_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:dce2a83a2655e20d86ac8d46c9b763598b7f37fa2b5cca622159a54ece664936
+size 3179140672

Llama-medx_v0-Q3_K_L.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c7bf2fbe16bca232f7a6c9027db595412908a3308417b7177ce1ed9cbe324174
+size 4321966464

Llama-medx_v0-Q3_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9ec6538448850e4c70db80e444d67db294bbd5011e32048f3d6dcde51d866c7a
+size 4018928000

Llama-medx_v0-Q3_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:84a95c9f5b7e38bbf694c4fc3094f748550e77044b68b80c42b88d233054f457
+size 3664509312

Llama-medx_v0-Q4_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:34785fbc45bfd329a1849b719d5cc7be82bcd87a13e939c9b456dbfb3717936a
+size 4661222848

Llama-medx_v0-Q4_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cc4ebafb03899dba5dec783186994263860e5400e719e6ebb98e5189d24c6bf7
+size 4920745408

Llama-medx_v0-Q4_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:700691fa3cc8a4ff8c5cb020abee59356a820c847f467679b463c96896e82be6
+size 4692680128

Llama-medx_v0-Q5_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:60dc320473a6be17ce38094bf8fa1ed5af1705193cbccaa64581b68a4870e37b
+size 5599306176

Llama-medx_v0-Q5_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cef367897be6f5e9d14be25a96162e2c22d843a0ce9cdb5f09c62a9a86c115d1
+size 5732999616

Llama-medx_v0-Q5_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3323e0f94cfc9d704a4fa187e8bcafd4c1cd27e043e706732c5f829374202bbd
+size 5599306176

Llama-medx_v0-Q6_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:11bd5172d875319157ba85c99be03d3c3f0fed2d8353a90bd7b66efb8779aacd
+size 6596019712

Llama-medx_v0-Q8_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:42101d7d20118ece09315c059ddf3e09d8a67c5437a2962451d8499e9b69132a
+size 8540788096

README.md

@@ -0,0 +1,81 @@
+---
+library_name: transformers
+license: apache-2.0
+base_model: skumar9/Llama-medx_v0
+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>
+
+## skumar9/Llama-medx_v0 - GGUF
+
+This repo contains GGUF format model files for [skumar9/Llama-medx_v0](https://huggingface.co/skumar9/Llama-medx_v0).
+
+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).
+
+<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
+
+```
+<|im_start|>system
+{system_prompt}<|im_end|>
+<|im_start|>user
+{prompt}<|im_end|>
+<|im_start|>assistant
+```
+
+## Model file specification
+
+| Filename | Quant type | File Size | Description |
+| -------- | ---------- | --------- | ----------- |
+| [Llama-medx_v0-Q2_K.gguf](https://huggingface.co/tensorblock/Llama-medx_v0-GGUF/blob/main/Llama-medx_v0-Q2_K.gguf) | Q2_K | 2.961 GB | smallest, significant quality loss - not recommended for most purposes |
+| [Llama-medx_v0-Q3_K_S.gguf](https://huggingface.co/tensorblock/Llama-medx_v0-GGUF/blob/main/Llama-medx_v0-Q3_K_S.gguf) | Q3_K_S | 3.413 GB | very small, high quality loss |
+| [Llama-medx_v0-Q3_K_M.gguf](https://huggingface.co/tensorblock/Llama-medx_v0-GGUF/blob/main/Llama-medx_v0-Q3_K_M.gguf) | Q3_K_M | 3.743 GB | very small, high quality loss |
+| [Llama-medx_v0-Q3_K_L.gguf](https://huggingface.co/tensorblock/Llama-medx_v0-GGUF/blob/main/Llama-medx_v0-Q3_K_L.gguf) | Q3_K_L | 4.025 GB | small, substantial quality loss |
+| [Llama-medx_v0-Q4_0.gguf](https://huggingface.co/tensorblock/Llama-medx_v0-GGUF/blob/main/Llama-medx_v0-Q4_0.gguf) | Q4_0 | 4.341 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
+| [Llama-medx_v0-Q4_K_S.gguf](https://huggingface.co/tensorblock/Llama-medx_v0-GGUF/blob/main/Llama-medx_v0-Q4_K_S.gguf) | Q4_K_S | 4.370 GB | small, greater quality loss |
+| [Llama-medx_v0-Q4_K_M.gguf](https://huggingface.co/tensorblock/Llama-medx_v0-GGUF/blob/main/Llama-medx_v0-Q4_K_M.gguf) | Q4_K_M | 4.583 GB | medium, balanced quality - recommended |
+| [Llama-medx_v0-Q5_0.gguf](https://huggingface.co/tensorblock/Llama-medx_v0-GGUF/blob/main/Llama-medx_v0-Q5_0.gguf) | Q5_0 | 5.215 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
+| [Llama-medx_v0-Q5_K_S.gguf](https://huggingface.co/tensorblock/Llama-medx_v0-GGUF/blob/main/Llama-medx_v0-Q5_K_S.gguf) | Q5_K_S | 5.215 GB | large, low quality loss - recommended |
+| [Llama-medx_v0-Q5_K_M.gguf](https://huggingface.co/tensorblock/Llama-medx_v0-GGUF/blob/main/Llama-medx_v0-Q5_K_M.gguf) | Q5_K_M | 5.339 GB | large, very low quality loss - recommended |
+| [Llama-medx_v0-Q6_K.gguf](https://huggingface.co/tensorblock/Llama-medx_v0-GGUF/blob/main/Llama-medx_v0-Q6_K.gguf) | Q6_K | 6.143 GB | very large, extremely low quality loss |
+| [Llama-medx_v0-Q8_0.gguf](https://huggingface.co/tensorblock/Llama-medx_v0-GGUF/blob/main/Llama-medx_v0-Q8_0.gguf) | Q8_0 | 7.954 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-medx_v0-GGUF --include "Llama-medx_v0-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-medx_v0-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
+```