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README.md

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+---
+license: apache-2.0
+tags:
+- moe
+- mergekit
+- merge
+- microsoft/phi-2
+- microsoft/phi-2
+- microsoft/phi-2
+- microsoft/phi-2
+---
+
+# MetaModel_moe_small
+
+This model is a Mixure of Experts (MoE) made with [mergekit](https://github.com/cg123/mergekit) (mixtral branch). It uses the following base models:
+* [microsoft/phi-2](https://huggingface.co/microsoft/phi-2)
+* [microsoft/phi-2](https://huggingface.co/microsoft/phi-2)
+* [microsoft/phi-2](https://huggingface.co/microsoft/phi-2)
+* [microsoft/phi-2](https://huggingface.co/microsoft/phi-2)
+
+## 🧩 Configuration
+
+```yaml
+base_model: microsoft/phi-2
+gate_mode: hidden
+dtype: bfloat16
+experts:
+  - source_model: microsoft/phi-2
+    positive_prompts: [""]
+  - source_model: microsoft/phi-2
+    positive_prompts: [""]
+  - source_model: microsoft/phi-2
+    positive_prompts: [""]
+  - source_model: microsoft/phi-2
+    positive_prompts: [""]
+```
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers bitsandbytes accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "gagan3012/MetaModel_moe_small"
+
+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"])
+```