Update README.md

README.md

@@ -52,24 +52,10 @@ experts:
 
 ## 💻 Usage
 
-```python
-!pip install -qU transformers bitsandbytes accelerate
-
-from transformers import AutoTokenizer
-import transformers
-import torch
-
-model = "shadowml/Beyonder-2x7B-v2"
-
-tokenizer = AutoTokenizer.from_pretrained(model)
-pipeline = transformers.pipeline(
-    "text-generation",
-    model=model,
-    model_kwargs={"torch_dtype": torch.float16, "load_in_4bit": True},
-)
-
-messages = [{"role": "user", "content": "Explain what a Mixture of Experts is in less than 100 words."}]
-prompt = pipeline.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
-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"])
+```
+Load in Kobold.cpp or whatever.  I found Alpaca (and Alpaca-ish) prompts worked well.  Settings that worked good for me are:
+Min P - 0.1
+Dynamic Temperature Min 0 Max 3
+Rep Pen 1.03
+Rep Pen Range 1000
 ```