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

README.md

@@ -0,0 +1,75 @@
+---
+license: apache-2.0
+language:
+- en
+datasets:
+- wikipedia
+pipeline_tag: text-generation
+base_model: JackFram/llama-160m
+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>
+
+## JackFram/llama-160m - GGUF
+
+This repo contains GGUF format model files for [JackFram/llama-160m](https://huggingface.co/JackFram/llama-160m).
+
+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
+
+```
+
+```
+
+## Model file specification
+
+| Filename | Quant type | File Size | Description |
+| -------- | ---------- | --------- | ----------- |
+| [llama-160m-Q2_K.gguf](https://huggingface.co/tensorblock/llama-160m-GGUF/tree/main/llama-160m-Q2_K.gguf) | Q2_K | 0.066 GB | smallest, significant quality loss - not recommended for most purposes |
+| [llama-160m-Q3_K_S.gguf](https://huggingface.co/tensorblock/llama-160m-GGUF/tree/main/llama-160m-Q3_K_S.gguf) | Q3_K_S | 0.075 GB | very small, high quality loss |
+| [llama-160m-Q3_K_M.gguf](https://huggingface.co/tensorblock/llama-160m-GGUF/tree/main/llama-160m-Q3_K_M.gguf) | Q3_K_M | 0.080 GB | very small, high quality loss |
+| [llama-160m-Q3_K_L.gguf](https://huggingface.co/tensorblock/llama-160m-GGUF/tree/main/llama-160m-Q3_K_L.gguf) | Q3_K_L | 0.085 GB | small, substantial quality loss |
+| [llama-160m-Q4_0.gguf](https://huggingface.co/tensorblock/llama-160m-GGUF/tree/main/llama-160m-Q4_0.gguf) | Q4_0 | 0.092 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
+| [llama-160m-Q4_K_S.gguf](https://huggingface.co/tensorblock/llama-160m-GGUF/tree/main/llama-160m-Q4_K_S.gguf) | Q4_K_S | 0.092 GB | small, greater quality loss |
+| [llama-160m-Q4_K_M.gguf](https://huggingface.co/tensorblock/llama-160m-GGUF/tree/main/llama-160m-Q4_K_M.gguf) | Q4_K_M | 0.096 GB | medium, balanced quality - recommended |
+| [llama-160m-Q5_0.gguf](https://huggingface.co/tensorblock/llama-160m-GGUF/tree/main/llama-160m-Q5_0.gguf) | Q5_0 | 0.108 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
+| [llama-160m-Q5_K_S.gguf](https://huggingface.co/tensorblock/llama-160m-GGUF/tree/main/llama-160m-Q5_K_S.gguf) | Q5_K_S | 0.108 GB | large, low quality loss - recommended |
+| [llama-160m-Q5_K_M.gguf](https://huggingface.co/tensorblock/llama-160m-GGUF/tree/main/llama-160m-Q5_K_M.gguf) | Q5_K_M | 0.110 GB | large, very low quality loss - recommended |
+| [llama-160m-Q6_K.gguf](https://huggingface.co/tensorblock/llama-160m-GGUF/tree/main/llama-160m-Q6_K.gguf) | Q6_K | 0.125 GB | very large, extremely low quality loss |
+| [llama-160m-Q8_0.gguf](https://huggingface.co/tensorblock/llama-160m-GGUF/tree/main/llama-160m-Q8_0.gguf) | Q8_0 | 0.161 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/llama-160m-GGUF --include "llama-160m-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-160m-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
+```

llama-160m-Q2_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c5261f01b075884edf4b90e83945c535e26c2a16ea110bda0f95bc94c57a2c4d
+size 70503648

llama-160m-Q3_K_L.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:48e244587119fd3e005c7bb403fb81411eee6d5efde4a4fa24596920b764ef83
+size 91136736

llama-160m-Q3_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:450c78215818d4694c0f50d45262495ea23c8e56e8ca3e916da80b3fcae27821
+size 85975776

llama-160m-Q3_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:080e7dad14314bc87d590d895107e7fa58a5ae3788c7543818bedb4a9de71d76
+size 80188128

llama-160m-Q4_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:670d26b958c2a19ed9cf20e9e70c467c8a65cae7c24b935816926ab407a126a8
+size 98492640

llama-160m-Q4_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c430a21c8933c187e17f819ec6a22e7b088227f60f439804cd5c175f70b32915
+size 103054560

llama-160m-Q4_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:056273de201850d16b2b1cd4dfb7e2eaa6d93df1644fd49be45b5eca6b5f4379
+size 99082464

llama-160m-Q5_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b758fc907f9ec55869dc36d954e26152257e9a07baab31cc4b29573169ade001
+size 115720416

llama-160m-Q5_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:aebd1d503f10f2c1b72355db79055cb5968b7254ac74ec8270b4109488b61a1b
+size 118070496

llama-160m-Q5_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:51012ec34d19dba631cd78f2beabe311e2b7b036cb72a66078f532396d7aed59
+size 115720416

llama-160m-Q6_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2f08658ff64b6b42f5adad315be30a8995cd325fb62362d0344cdd31a23206ae
+size 134024928

llama-160m-Q8_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ded9acf20c1383f2b70d91a93f40ce0906ea8c0214e800fd57ae81045a3566ae
+size 173355744