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

BioMistral-MedMNX-Q2_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3b6e0d01e0873a3d2f2fe7c21ab016af1a80defeea1104556c2b28c95d9bef7f
+size 2719252576

BioMistral-MedMNX-Q3_K_L.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:99772a0f414a234f4bbee800bb122aa92e936b0b4aec101366b952f67f4f6565
+size 3822035872

BioMistral-MedMNX-Q3_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8f308411d3e8e7adea8cd5757816c2054d7605b94752ceef7255f7f3531efd06
+size 3518997408

BioMistral-MedMNX-Q3_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b489cc00c68c1f9ee60549a365e47add3f1f7bad9c57e27a627c8c34fc5e310c
+size 3164578720

BioMistral-MedMNX-Q4_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4e95b384ab18b84a2ffc2d013683b9d9625d02064e57d365d1ef3026697384e3
+size 4108928992

BioMistral-MedMNX-Q4_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:72369f808fd2f3f9a82f68cfa6797a1b67a2a2998b3bc399f07c22739b5a6e5a
+size 4368451552

BioMistral-MedMNX-Q4_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:95639456b1fe43010b0378bc8df9b3ed3dabe1429275e71117f187fc908ec491
+size 4140386272

BioMistral-MedMNX-Q5_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:dc007f54950d2c7c9ba50f9ad66e93dadca3624bf35ab53e54348acea66b3b02
+size 4997729248

BioMistral-MedMNX-Q5_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7ed527163551b4b19a5ce7dc80e16eb8abea77c96e9fe9a095c3a95900733d25
+size 5131422688

BioMistral-MedMNX-Q5_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:424378065166ba01a7e91f8fe9c6cb78a9ed42b20c31d929a910b561b1309bea
+size 4997729248

BioMistral-MedMNX-Q6_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:55d50c4ac99cca0fdeabc49e584129eb1878c794aa235de50c67294122246e0e
+size 5942079520

BioMistral-MedMNX-Q8_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c01ad21a63708e3a8917a6d50dcb0b58b46e8f8c41b6ffbc1a6d5d3e4e93305a
+size 7695876000

README.md

@@ -0,0 +1,73 @@
+---
+license: cc-by-nc-nd-4.0
+base_model: BioMistral/BioMistral-MedMNX
+library_name: transformers
+tags:
+- mergekit
+- merge
+- 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>
+
+## BioMistral/BioMistral-MedMNX - GGUF
+
+This repo contains GGUF format model files for [BioMistral/BioMistral-MedMNX](https://huggingface.co/BioMistral/BioMistral-MedMNX).
+
+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
+
+```
+<s>GPT4 Correct System: {system_prompt}<|end_of_turn|>GPT4 Correct User: {prompt}<|end_of_turn|>GPT4 Correct Assistant:
+```
+
+## Model file specification
+
+| Filename | Quant type | File Size | Description |
+| -------- | ---------- | --------- | ----------- |
+| [BioMistral-MedMNX-Q2_K.gguf](https://huggingface.co/tensorblock/BioMistral-MedMNX-GGUF/tree/main/BioMistral-MedMNX-Q2_K.gguf) | Q2_K | 2.533 GB | smallest, significant quality loss - not recommended for most purposes |
+| [BioMistral-MedMNX-Q3_K_S.gguf](https://huggingface.co/tensorblock/BioMistral-MedMNX-GGUF/tree/main/BioMistral-MedMNX-Q3_K_S.gguf) | Q3_K_S | 2.947 GB | very small, high quality loss |
+| [BioMistral-MedMNX-Q3_K_M.gguf](https://huggingface.co/tensorblock/BioMistral-MedMNX-GGUF/tree/main/BioMistral-MedMNX-Q3_K_M.gguf) | Q3_K_M | 3.277 GB | very small, high quality loss |
+| [BioMistral-MedMNX-Q3_K_L.gguf](https://huggingface.co/tensorblock/BioMistral-MedMNX-GGUF/tree/main/BioMistral-MedMNX-Q3_K_L.gguf) | Q3_K_L | 3.560 GB | small, substantial quality loss |
+| [BioMistral-MedMNX-Q4_0.gguf](https://huggingface.co/tensorblock/BioMistral-MedMNX-GGUF/tree/main/BioMistral-MedMNX-Q4_0.gguf) | Q4_0 | 3.827 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
+| [BioMistral-MedMNX-Q4_K_S.gguf](https://huggingface.co/tensorblock/BioMistral-MedMNX-GGUF/tree/main/BioMistral-MedMNX-Q4_K_S.gguf) | Q4_K_S | 3.856 GB | small, greater quality loss |
+| [BioMistral-MedMNX-Q4_K_M.gguf](https://huggingface.co/tensorblock/BioMistral-MedMNX-GGUF/tree/main/BioMistral-MedMNX-Q4_K_M.gguf) | Q4_K_M | 4.068 GB | medium, balanced quality - recommended |
+| [BioMistral-MedMNX-Q5_0.gguf](https://huggingface.co/tensorblock/BioMistral-MedMNX-GGUF/tree/main/BioMistral-MedMNX-Q5_0.gguf) | Q5_0 | 4.654 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
+| [BioMistral-MedMNX-Q5_K_S.gguf](https://huggingface.co/tensorblock/BioMistral-MedMNX-GGUF/tree/main/BioMistral-MedMNX-Q5_K_S.gguf) | Q5_K_S | 4.654 GB | large, low quality loss - recommended |
+| [BioMistral-MedMNX-Q5_K_M.gguf](https://huggingface.co/tensorblock/BioMistral-MedMNX-GGUF/tree/main/BioMistral-MedMNX-Q5_K_M.gguf) | Q5_K_M | 4.779 GB | large, very low quality loss - recommended |
+| [BioMistral-MedMNX-Q6_K.gguf](https://huggingface.co/tensorblock/BioMistral-MedMNX-GGUF/tree/main/BioMistral-MedMNX-Q6_K.gguf) | Q6_K | 5.534 GB | very large, extremely low quality loss |
+| [BioMistral-MedMNX-Q8_0.gguf](https://huggingface.co/tensorblock/BioMistral-MedMNX-GGUF/tree/main/BioMistral-MedMNX-Q8_0.gguf) | Q8_0 | 7.167 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/BioMistral-MedMNX-GGUF --include "BioMistral-MedMNX-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/BioMistral-MedMNX-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
+```