Update README.md

README.md

@@ -1,6 +1,6 @@
 ---
 license: apache-2.0
-base_model: LittleInstructionMaker-4B-v0.1
+base_model: trollek/LittleInstructionMaker-4B-v0.1
 datasets:
 - cognitivecomputations/WizardLM_evol_instruct_V2_196k_unfiltered_merged_split
 - mlabonne/FineTome-100k
@@ -8,6 +8,10 @@ datasets:
 - m-a-p/Code-Feedback
 language:
 - en
+tags:
+- merge
+- mergekit
+- llama-factory
 ---
 # LittleInstructionMaker-4B-v0.2
 
@@ -22,9 +26,14 @@ language:
 |        |       |none  |None  |percent_parseable|100.0000|±  |0.0000|
 |winogrande|      1|none  |     5|acc   |0.7703|±  |0.0118|
 
+## Quants
+You have my thanks, [cgus](https://huggingface.co/cgus)!
+* [cgus/LittleInstructionMaker-4B-v0.2-iMat-GGUF](https://huggingface.co/cgus/LittleInstructionMaker-4B-v0.2-iMat-GGUF)
 
 ### Usage example
 
+With [Magpie](https://arxiv.org/abs/2406.08464) inspired prompt creation which can then be used for anything your imagination can handle.
+
 ```python
 import torch
 from unsloth import FastLanguageModel
@@ -75,4 +84,4 @@ Input: nums = [1, 2, 3, 4, 5]
 Output: 3
 Explanation: After sorting the list, we have [1, 2, 3, 4, 5]. There are five elements, so the median is 3.
 
-```
+```