初始化项目，由ModelHub XC社区提供模型

Model: Vasanth/Valor_Macaroni_moe
Source: Original Platform

README.md

@@ -0,0 +1,56 @@
+---
+license: apache-2.0
+tags:
+- moe
+- frankenmoe
+- merge
+- mergekit
+- lazymergekit
+- NeuralNovel/Valor-7B-v0.1
+- Toten5/Marcoroni-neural-chat-7B-v1
+base_model:
+- NeuralNovel/Valor-7B-v0.1
+- Toten5/Marcoroni-neural-chat-7B-v1
+---
+
+# Valor_Macaroni_moe
+
+Valor_Macaroni_moe is a Mixure of Experts (MoE) made with the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
+* [NeuralNovel/Valor-7B-v0.1](https://huggingface.co/NeuralNovel/Valor-7B-v0.1)
+* [Toten5/Marcoroni-neural-chat-7B-v1](https://huggingface.co/Toten5/Marcoroni-neural-chat-7B-v1)
+
+## 🧩 Configuration
+
+```yaml
+base_model: NeuralNovel/Valor-7B-v0.1
+gate_mode: cheap_embed
+experts:
+  - source_model: NeuralNovel/Valor-7B-v0.1
+    positive_prompts: ["What should I do if lost my mobile phone"]
+  - source_model: Toten5/Marcoroni-neural-chat-7B-v1
+    positive_prompts: ["I have 3 apples. I lost 2 out of it. After that my father gave me another 3. How many do I have now?"]
+```
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers bitsandbytes accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "Vasanth/Valor_Macaroni_moe"
+
+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"])
+```