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
+pythia-160m-c2s-Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
+pythia-160m-c2s-Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
+pythia-160m-c2s-Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+pythia-160m-c2s-Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+pythia-160m-c2s-Q4_0.gguf filter=lfs diff=lfs merge=lfs -text
+pythia-160m-c2s-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+pythia-160m-c2s-Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+pythia-160m-c2s-Q5_0.gguf filter=lfs diff=lfs merge=lfs -text
+pythia-160m-c2s-Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+pythia-160m-c2s-Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+pythia-160m-c2s-Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
+pythia-160m-c2s-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,83 @@
+---
+license: cc-by-nc-nd-4.0
+datasets:
+- vandijklab/immune-c2s
+language:
+- en
+tags:
+- pytorch
+- causal-lm
+- scRNA-seq
+- TensorBlock
+- GGUF
+base_model: vandijklab/pythia-160m-c2s
+---
+
+<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>
+
+## vandijklab/pythia-160m-c2s - GGUF
+
+This repo contains GGUF format model files for [vandijklab/pythia-160m-c2s](https://huggingface.co/vandijklab/pythia-160m-c2s).
+
+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 |
+| -------- | ---------- | --------- | ----------- |
+| [pythia-160m-c2s-Q2_K.gguf](https://huggingface.co/tensorblock/pythia-160m-c2s-GGUF/blob/main/pythia-160m-c2s-Q2_K.gguf) | Q2_K | 0.078 GB | smallest, significant quality loss - not recommended for most purposes |
+| [pythia-160m-c2s-Q3_K_S.gguf](https://huggingface.co/tensorblock/pythia-160m-c2s-GGUF/blob/main/pythia-160m-c2s-Q3_K_S.gguf) | Q3_K_S | 0.087 GB | very small, high quality loss |
+| [pythia-160m-c2s-Q3_K_M.gguf](https://huggingface.co/tensorblock/pythia-160m-c2s-GGUF/blob/main/pythia-160m-c2s-Q3_K_M.gguf) | Q3_K_M | 0.095 GB | very small, high quality loss |
+| [pythia-160m-c2s-Q3_K_L.gguf](https://huggingface.co/tensorblock/pythia-160m-c2s-GGUF/blob/main/pythia-160m-c2s-Q3_K_L.gguf) | Q3_K_L | 0.099 GB | small, substantial quality loss |
+| [pythia-160m-c2s-Q4_0.gguf](https://huggingface.co/tensorblock/pythia-160m-c2s-GGUF/blob/main/pythia-160m-c2s-Q4_0.gguf) | Q4_0 | 0.103 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
+| [pythia-160m-c2s-Q4_K_S.gguf](https://huggingface.co/tensorblock/pythia-160m-c2s-GGUF/blob/main/pythia-160m-c2s-Q4_K_S.gguf) | Q4_K_S | 0.104 GB | small, greater quality loss |
+| [pythia-160m-c2s-Q4_K_M.gguf](https://huggingface.co/tensorblock/pythia-160m-c2s-GGUF/blob/main/pythia-160m-c2s-Q4_K_M.gguf) | Q4_K_M | 0.110 GB | medium, balanced quality - recommended |
+| [pythia-160m-c2s-Q5_0.gguf](https://huggingface.co/tensorblock/pythia-160m-c2s-GGUF/blob/main/pythia-160m-c2s-Q5_0.gguf) | Q5_0 | 0.119 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
+| [pythia-160m-c2s-Q5_K_S.gguf](https://huggingface.co/tensorblock/pythia-160m-c2s-GGUF/blob/main/pythia-160m-c2s-Q5_K_S.gguf) | Q5_K_S | 0.119 GB | large, low quality loss - recommended |
+| [pythia-160m-c2s-Q5_K_M.gguf](https://huggingface.co/tensorblock/pythia-160m-c2s-GGUF/blob/main/pythia-160m-c2s-Q5_K_M.gguf) | Q5_K_M | 0.124 GB | large, very low quality loss - recommended |
+| [pythia-160m-c2s-Q6_K.gguf](https://huggingface.co/tensorblock/pythia-160m-c2s-GGUF/blob/main/pythia-160m-c2s-Q6_K.gguf) | Q6_K | 0.135 GB | very large, extremely low quality loss |
+| [pythia-160m-c2s-Q8_0.gguf](https://huggingface.co/tensorblock/pythia-160m-c2s-GGUF/blob/main/pythia-160m-c2s-Q8_0.gguf) | Q8_0 | 0.175 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/pythia-160m-c2s-GGUF --include "pythia-160m-c2s-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/pythia-160m-c2s-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
+```

pythia-160m-c2s-Q2_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0e29d6737f76a67e0491bd989ca595e1c00e9d21fd2c441c3fdea9ed993e7ff1
+size 78094432

pythia-160m-c2s-Q3_K_L.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:86a42d7f6148e14e5a57f9f759632fc3e51b732c52b992b85d0788400ebb0d2e
+size 98994016

pythia-160m-c2s-Q3_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2100f22f65f1ed0c07c35746efe99c068a7cff1076367077a6fd217c55c1b713
+size 94570336

pythia-160m-c2s-Q3_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e5cf91412a1231dace72ae82d3f42a98f8e3ac8ecb2d4bfedb3624fc64f0cbd7
+size 87050080

pythia-160m-c2s-Q4_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4cbc896ef869a396c95324e12b10d1c87967285c29dbd884487fa1c070c1682a
+size 103461472

pythia-160m-c2s-Q4_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e2310e692b781f9a777465cb64b0bab253db780058391c27fc2a0b3c6789172d
+size 109765216

pythia-160m-c2s-Q4_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c9fb4d21bce65d3f0ca3d37d142c9e0851d4585e95cbd8e2b35b18d553355237
+size 103756384

pythia-160m-c2s-Q5_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e257053c54f03e1e18983ea1f2bac19b174c09104287f6e5051e1c69c06e1abb
+size 118907488

pythia-160m-c2s-Q5_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:756fb3518d09baa07ae98672dcd5220e581b06f17b77a895f9edbb6418a37d70
+size 123607648

pythia-160m-c2s-Q5_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5995a65e4ac7efd80117396f5feb4d2c78681fcf2d6a0d1797a918b90722df42
+size 118907488

pythia-160m-c2s-Q6_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:eb90d912c9daa9e1e927a0b4952b67d3c300fafeec965f57063b5afd141b57ce
+size 135318880

pythia-160m-c2s-Q8_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2822c5e36b2851d4566418918bff1d7238be06178d96715979b87ccf838c8fda
+size 174602080