Detailing basic model card

README.md

@@ -4,4 +4,28 @@ language:
 - en
 base_model:
 - ACE-Step/ACE-Step-v1-3.5B
----
+---
+# ACE Step LoRA Experimentation: Glitch Hop
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+This is a Low-Rank Adaptation (LoRA) model of [ACE Step](https://huggingface.co/ACE-Step/ACE-Step-v1-3.5B) focused on a specific genre of Glitch Hop music.
+
+## Triggers
+
+Any mix and match of the following words should do:
+```neurohop, electronic, glitch hop, hip hop, dubstep, synth, vocal synth, vocal samples, talkbox, talkbox vocals```
+
+Be sure to specify BPM as well as any normal trigger words aligning with the original ACE Step model.
+
+## Training Details
+
+The LoRA was trained off of a privately curated dataset of 22 tracks produced in the Glitch Hop/Neurohop genre, using default config settings following the [ACE Step LoRA Training Outline](https://github.com/ace-step/ACE-Step/blob/main/TRAIN_INSTRUCTION.md)
+
+This the first ACE Step LoRA I've attempted, with the current model being the 3rd iteration total from the default training process (no specified maximum epochs) before the GPU I was using ran out of memory.
+
+Since the training was cut prematurely, it may not accurately produce satisfying results! Further experimentation, examples and paramater detailing will be done at a later date. In the mean time, feel free to share your results if you decided to utilize this LoRA fine-tune.
+
+### Results
+
+TBD!