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
+cere-llama-3-8b-tr-Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
+cere-llama-3-8b-tr-Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
+cere-llama-3-8b-tr-Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+cere-llama-3-8b-tr-Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+cere-llama-3-8b-tr-Q4_0.gguf filter=lfs diff=lfs merge=lfs -text
+cere-llama-3-8b-tr-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+cere-llama-3-8b-tr-Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+cere-llama-3-8b-tr-Q5_0.gguf filter=lfs diff=lfs merge=lfs -text
+cere-llama-3-8b-tr-Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+cere-llama-3-8b-tr-Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+cere-llama-3-8b-tr-Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
+cere-llama-3-8b-tr-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,74 @@
+---
+license: llama3
+language:
+- tr
+base_model: CerebrumTech/cere-llama-3-8b-tr
+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>
+
+## CerebrumTech/cere-llama-3-8b-tr - GGUF
+
+This repo contains GGUF format model files for [CerebrumTech/cere-llama-3-8b-tr](https://huggingface.co/CerebrumTech/cere-llama-3-8b-tr).
+
+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
+
+```
+{system_prompt}
+Human: {prompt}
+Assistant: 
+```
+
+## Model file specification
+
+| Filename | Quant type | File Size | Description |
+| -------- | ---------- | --------- | ----------- |
+| [cere-llama-3-8b-tr-Q2_K.gguf](https://huggingface.co/tensorblock/cere-llama-3-8b-tr-GGUF/tree/main/cere-llama-3-8b-tr-Q2_K.gguf) | Q2_K | 2.961 GB | smallest, significant quality loss - not recommended for most purposes |
+| [cere-llama-3-8b-tr-Q3_K_S.gguf](https://huggingface.co/tensorblock/cere-llama-3-8b-tr-GGUF/tree/main/cere-llama-3-8b-tr-Q3_K_S.gguf) | Q3_K_S | 3.413 GB | very small, high quality loss |
+| [cere-llama-3-8b-tr-Q3_K_M.gguf](https://huggingface.co/tensorblock/cere-llama-3-8b-tr-GGUF/tree/main/cere-llama-3-8b-tr-Q3_K_M.gguf) | Q3_K_M | 3.743 GB | very small, high quality loss |
+| [cere-llama-3-8b-tr-Q3_K_L.gguf](https://huggingface.co/tensorblock/cere-llama-3-8b-tr-GGUF/tree/main/cere-llama-3-8b-tr-Q3_K_L.gguf) | Q3_K_L | 4.025 GB | small, substantial quality loss |
+| [cere-llama-3-8b-tr-Q4_0.gguf](https://huggingface.co/tensorblock/cere-llama-3-8b-tr-GGUF/tree/main/cere-llama-3-8b-tr-Q4_0.gguf) | Q4_0 | 4.341 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
+| [cere-llama-3-8b-tr-Q4_K_S.gguf](https://huggingface.co/tensorblock/cere-llama-3-8b-tr-GGUF/tree/main/cere-llama-3-8b-tr-Q4_K_S.gguf) | Q4_K_S | 4.370 GB | small, greater quality loss |
+| [cere-llama-3-8b-tr-Q4_K_M.gguf](https://huggingface.co/tensorblock/cere-llama-3-8b-tr-GGUF/tree/main/cere-llama-3-8b-tr-Q4_K_M.gguf) | Q4_K_M | 4.583 GB | medium, balanced quality - recommended |
+| [cere-llama-3-8b-tr-Q5_0.gguf](https://huggingface.co/tensorblock/cere-llama-3-8b-tr-GGUF/tree/main/cere-llama-3-8b-tr-Q5_0.gguf) | Q5_0 | 5.215 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
+| [cere-llama-3-8b-tr-Q5_K_S.gguf](https://huggingface.co/tensorblock/cere-llama-3-8b-tr-GGUF/tree/main/cere-llama-3-8b-tr-Q5_K_S.gguf) | Q5_K_S | 5.215 GB | large, low quality loss - recommended |
+| [cere-llama-3-8b-tr-Q5_K_M.gguf](https://huggingface.co/tensorblock/cere-llama-3-8b-tr-GGUF/tree/main/cere-llama-3-8b-tr-Q5_K_M.gguf) | Q5_K_M | 5.339 GB | large, very low quality loss - recommended |
+| [cere-llama-3-8b-tr-Q6_K.gguf](https://huggingface.co/tensorblock/cere-llama-3-8b-tr-GGUF/tree/main/cere-llama-3-8b-tr-Q6_K.gguf) | Q6_K | 6.143 GB | very large, extremely low quality loss |
+| [cere-llama-3-8b-tr-Q8_0.gguf](https://huggingface.co/tensorblock/cere-llama-3-8b-tr-GGUF/tree/main/cere-llama-3-8b-tr-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/cere-llama-3-8b-tr-GGUF --include "cere-llama-3-8b-tr-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/cere-llama-3-8b-tr-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
+```

cere-llama-3-8b-tr-Q2_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3a77da12ec6eebf17c68f2999ff27a1853308233fa7ea38ff944d4ca04e20726
+size 3179131552

cere-llama-3-8b-tr-Q3_K_L.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:13994f9889846e981986869fec8660ab7ecb8e0fb45d2a86ffdabadddf8dd2ee
+size 4321956512

cere-llama-3-8b-tr-Q3_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7885bb297f35b4800d39832f129f892ad38811116fe3516477ab6cc4555bb482
+size 4018918048

cere-llama-3-8b-tr-Q3_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0d4cd6cd96396cda9d96b88b71aae49a2cbf1e78c9021e4eb1f81caeff409227
+size 3664499360

cere-llama-3-8b-tr-Q4_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:55183572018819c692b1fb853ea2958ec323f1fa91f4739d7fd1647b16ef2205
+size 4661211808

cere-llama-3-8b-tr-Q4_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6cb2208f338127bc50def6d66f7edd679a956db9afdce197ae228c01f083998b
+size 4920734368

cere-llama-3-8b-tr-Q4_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fc7876e8d27fbdbc8c32f2c4aa4393475b1ded456567cf70ea0a1269bb79131d
+size 4692669088

cere-llama-3-8b-tr-Q5_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2126208166e845eed53018cc9b948a1668e8ee8c2d6eaccdf53867f129d46f2e
+size 5599294112

cere-llama-3-8b-tr-Q5_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:42cf1b6a7823473dc64d1b6a6ddd88c3f889f8e15a8a94c5d677023baa59afdf
+size 5732987552

cere-llama-3-8b-tr-Q5_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:767413dd3ceae47b0da6fe854478289623fff841ffd44311a4ccc5a4174106fc
+size 5599294112

cere-llama-3-8b-tr-Q6_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3402a76ff6d7985fec373f12fa97b539ab9b0f6a46c35448a124ea99f908031f
+size 6596006560

cere-llama-3-8b-tr-Q8_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:48f5003e97db1ad3a74e25799137a8cbff6ed5f5dcc8a9de032066cac1a07492
+size 8540770976