Update README.md

README.md

@@ -1,7 +1,7 @@
 ---
 base_model: Qwen/Qwen3-1.7B-Base
 library_name: transformers
-model_name: qwen3-sft-output
+model_name: dracula-flow-base
 tags:
 - generated_from_trainer
 - sft
@@ -9,19 +9,23 @@ tags:
 licence: license
 ---
 
-# Model Card for qwen3-sft-output
+# Model Card for dracula-flow-base
 
 This model is a fine-tuned version of [Qwen/Qwen3-1.7B-Base](https://huggingface.co/Qwen/Qwen3-1.7B-Base).
 It has been trained using [TRL](https://github.com/huggingface/trl).
 
+This has been specifically trained on Dracula flow 1-5 for 6 epochs to get it to be semi decent enough at writing dracula flow bars. It is not advised to use it as an actual dracula flow generator but rather as a generator for synthetic data to then train the real dracula flow model.
+
+
+
 ## Quick start
 
 ```python
 from transformers import pipeline
 
-question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
+prompt = "[dracula flow]: "
 generator = pipeline("text-generation", model="None", device="cuda")
-output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
+output = generator(prompt, max_new_tokens=128, return_full_text=False)[0]
 print(output["generated_text"])
 ```