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README.md

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+---
+license: apache-2.0
+base_model:
+- Qwen/Qwen2.5-0.5B-Instruct
+- Qwen/Qwen2.5-Coder-0.5B
+- funnyPhani/Qwen-2.5-0.5B-MATH
+- caelancooper/Qwen2.5-0.5B-business
+- KingNish/Qwen2.5-0.5b-Test-ft
+tags:
+- moe
+- frankenmoe
+- merge
+- mergekit
+- lazymergekit
+- Qwen/Qwen2.5-0.5B-Instruct
+- Qwen/Qwen2.5-Coder-0.5B
+- funnyPhani/Qwen-2.5-0.5B-MATH
+- caelancooper/Qwen2.5-0.5B-business
+- KingNish/Qwen2.5-0.5b-Test-ft
+---
+
+# LazyMergekit-Qwen2.5-0.5B-Mixtral
+
+LazyMergekit-Qwen2.5-0.5B-Mixtral is a Mixture of Experts (MoE) made with the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
+* [Qwen/Qwen2.5-0.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct)
+* [Qwen/Qwen2.5-Coder-0.5B](https://huggingface.co/Qwen/Qwen2.5-Coder-0.5B)
+* [funnyPhani/Qwen-2.5-0.5B-MATH](https://huggingface.co/funnyPhani/Qwen-2.5-0.5B-MATH)
+* [caelancooper/Qwen2.5-0.5B-business](https://huggingface.co/caelancooper/Qwen2.5-0.5B-business)
+* [KingNish/Qwen2.5-0.5b-Test-ft](https://huggingface.co/KingNish/Qwen2.5-0.5b-Test-ft)
+
+## 🧩 Configuration
+
+```yaml
+base_model: Qwen/Qwen2.5-0.5B-Instruct  # Base model for shared layers
+gate_mode: hidden  # Use hidden representations for router initialization
+dtype: float16  # Data type for the merged model
+
+experts:
+  - source_model: Qwen/Qwen2.5-0.5B-Instruct
+    positive_prompts:
+      - "chat"
+      - "assistant"
+      - "tell me"
+      - "explain"
+      - "I want"
+  - source_model: Qwen/Qwen2.5-Coder-0.5B
+    positive_prompts:
+      - "code"
+      - "python"
+      - "javascript"
+      - "programming"
+      - "algorithm"
+  - source_model: funnyPhani/Qwen-2.5-0.5B-MATH
+    positive_prompts:
+      - "math"
+      - "mathematics"
+      - "solve"
+      - "count"
+      - "reason"
+  - source_model: caelancooper/Qwen2.5-0.5B-business
+    positive_prompts:
+      - "business"
+      - "finance"
+      - "market"
+      - "strategy"
+      - "analysis"
+  - source_model: KingNish/Qwen2.5-0.5b-Test-ft
+    positive_prompts:
+      
+```
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers bitsandbytes accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "Xiaojian9992024/LazyMergekit-Qwen2.5-0.5B-Mixtral"
+
+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"])
+```