Update README.md

README.md

@@ -1,34 +1,15 @@
 ---
 library_name: transformers
 tags:
-- TensorBlock
 - GGUF
 base_model: FabienRoger/cot_5k
 ---
 
-<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>
-
 ## FabienRoger/cot_5k - GGUF
 
 This repo contains GGUF format model files for [FabienRoger/cot_5k](https://huggingface.co/FabienRoger/cot_5k).
 
-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>
+they are compatible with llama.cpp as of [commit b4011](https://github.com/ggerganov/llama.cpp/commit/a6744e43e80f4be6398fc7733a01642c846dce1d).
 
 ## Prompt template
 
@@ -46,17 +27,6 @@ The files were quantized using machines provided by [TensorBlock](https://tensor
 | Filename | Quant type | File Size | Description |
 | -------- | ---------- | --------- | ----------- |
 | [cot_5k-Q2_K.gguf](https://huggingface.co/tensorblock/cot_5k-GGUF/blob/main/cot_5k-Q2_K.gguf) | Q2_K | 0.646 GB | smallest, significant quality loss - not recommended for most purposes |
-| [cot_5k-Q3_K_S.gguf](https://huggingface.co/tensorblock/cot_5k-GGUF/blob/main/cot_5k-Q3_K_S.gguf) | Q3_K_S | 0.737 GB | very small, high quality loss |
-| [cot_5k-Q3_K_M.gguf](https://huggingface.co/tensorblock/cot_5k-GGUF/blob/main/cot_5k-Q3_K_M.gguf) | Q3_K_M | 0.799 GB | very small, high quality loss |
-| [cot_5k-Q3_K_L.gguf](https://huggingface.co/tensorblock/cot_5k-GGUF/blob/main/cot_5k-Q3_K_L.gguf) | Q3_K_L | 0.852 GB | small, substantial quality loss |
-| [cot_5k-Q4_0.gguf](https://huggingface.co/tensorblock/cot_5k-GGUF/blob/main/cot_5k-Q4_0.gguf) | Q4_0 | 0.915 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
-| [cot_5k-Q4_K_S.gguf](https://huggingface.co/tensorblock/cot_5k-GGUF/blob/main/cot_5k-Q4_K_S.gguf) | Q4_K_S | 0.921 GB | small, greater quality loss |
-| [cot_5k-Q4_K_M.gguf](https://huggingface.co/tensorblock/cot_5k-GGUF/blob/main/cot_5k-Q4_K_M.gguf) | Q4_K_M | 0.961 GB | medium, balanced quality - recommended |
-| [cot_5k-Q5_0.gguf](https://huggingface.co/tensorblock/cot_5k-GGUF/blob/main/cot_5k-Q5_0.gguf) | Q5_0 | 1.083 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
-| [cot_5k-Q5_K_S.gguf](https://huggingface.co/tensorblock/cot_5k-GGUF/blob/main/cot_5k-Q5_K_S.gguf) | Q5_K_S | 1.083 GB | large, low quality loss - recommended |
-| [cot_5k-Q5_K_M.gguf](https://huggingface.co/tensorblock/cot_5k-GGUF/blob/main/cot_5k-Q5_K_M.gguf) | Q5_K_M | 1.106 GB | large, very low quality loss - recommended |
-| [cot_5k-Q6_K.gguf](https://huggingface.co/tensorblock/cot_5k-GGUF/blob/main/cot_5k-Q6_K.gguf) | Q6_K | 1.261 GB | very large, extremely low quality loss |
-| [cot_5k-Q8_0.gguf](https://huggingface.co/tensorblock/cot_5k-GGUF/blob/main/cot_5k-Q8_0.gguf) | Q8_0 | 1.632 GB | very large, extremely low quality loss - not recommended |
 
 
 ## Downloading instruction