Update README.md

README.md

@@ -17,70 +17,3 @@ base_model:
 - togethercomputer/LLaMA-2-7B-32K
 ---
 
-# Llamoe-test
-
-Llamoe-test is a Mixure of Experts (MoE) made with the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
-* [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf)
-* [syzymon/long_llama_code_7b_instruct](https://huggingface.co/syzymon/long_llama_code_7b_instruct)
-* [georgesung/llama2_7b_chat_uncensored](https://huggingface.co/georgesung/llama2_7b_chat_uncensored)
-* [togethercomputer/LLaMA-2-7B-32K](https://huggingface.co/togethercomputer/LLaMA-2-7B-32K)
-
-## 🧩 Configuration
-
-```yaml
-base_model: meta-llama/Llama-2-7b-chat-hf
-gate_mode: random
-dtype: bfloat16
-experts_per_token: 2
-experts:
-  - source_model: meta-llama/Llama-2-7b-hf
-    positive_prompts:
-      - "should be able to converse properly"
-    negative_prompts:
-      - "Uncensored in my opinion"
-      
-  - source_model: syzymon/long_llama_code_7b_instruct
-    positive_prompts:
-      - "Perform pretty well in coding question"
-      
-    negative_prompts:
-      - "Is quite bad in C++"
-      
-  - source_model: georgesung/llama2_7b_chat_uncensored
-    positive_prompts:
-      - "Uncensored"
-      
-    negative_prompts:
-      - "really bad in high school grade math and science"
-      
-  - source_model: togethercomputer/LLaMA-2-7B-32K
-    positive_prompts:
-      - "really good in long context question answering"  
-      
-    negative_prompts:
-      - "incorrect or biased content"
-```
-
-## 💻 Usage
-
-```python
-!pip install -qU transformers bitsandbytes accelerate
-
-from transformers import AutoTokenizer
-import transformers
-import torch
-
-model = "damerajee/Llamoe-test"
-
-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"])
-```