Update README.md

README.md

@@ -1,46 +1,15 @@
 ---
-tags:
-- merge
-- mergekit
-- lazymergekit
+license: apache-2.0
+language:
+- en
 ---
 
-# Orthocopter_8B
+# Orthocopter
 
-Orthocopter_8B is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/626dfb8786671a29c715f8a9/B1V2QhXSqtBRHT6MW6cCD.png)
 
-## 🧩 Configuration
+This model is thanks to the hard work of lucyknada with the Edgerunners. Her work produced the following model, which I used as the base:
 
-```yaml
-models:
-  - model: Edgerunners/meta-llama-3-8b-instruct-hf-ortho-baukit-10fail-1000total+ResplendentAI/Aura_Llama3
-  - model: Edgerunners/meta-llama-3-8b-instruct-hf-ortho-baukit-10fail-1000total+ResplendentAI/Luna_Llama3
-merge_method: model_stock
-base_model: Edgerunners/meta-llama-3-8b-instruct-hf-ortho-baukit-10fail-1000total
-dtype: float16
-```
+https://huggingface.co/Edgerunners/meta-llama-3-8b-instruct-hf-ortho-baukit-10fail-1000total
 
-## 💻 Usage
-
-```python
-!pip install -qU transformers accelerate
-
-from transformers import AutoTokenizer
-import transformers
-import torch
-
-model = "jeiku/Orthocopter_8B"
-messages = [{"role": "user", "content": "What is a large language model?"}]
-
-tokenizer = AutoTokenizer.from_pretrained(model)
-prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
-pipeline = transformers.pipeline(
-    "text-generation",
-    model=model,
-    torch_dtype=torch.float16,
-    device_map="auto",
-)
-
-outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
-print(outputs[0]["generated_text"])
-```
+I then applied two handwritten datasets over top of this and the results are pretty nice, with no refusals and plenty of personality.