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Model: FelixChao/Magician-MoE-4x7B
Source: Original Platform

README.md

@@ -0,0 +1,58 @@
+---
+license: apache-2.0
+tags:
+- moe
+- merge
+- deepseek-ai/deepseek-coder-6.7b-instruct
+- ise-uiuc/Magicoder-S-CL-7B
+- WizardLM/WizardMath-7B-V1.0
+- WizardLM/WizardCoder-Python-7B-V1.0
+---
+
+# Magician-MoE-4x7B
+
+Magician-MoE-4x7B is a Mixure of Experts (MoE) made with the following models:
+* [deepseek-ai/deepseek-coder-6.7b-instruct](https://huggingface.co/deepseek-ai/deepseek-coder-6.7b-instruct)
+* [ise-uiuc/Magicoder-S-CL-7B](https://huggingface.co/ise-uiuc/Magicoder-S-CL-7B)
+* [WizardLM/WizardMath-7B-V1.0](https://huggingface.co/WizardLM/WizardMath-7B-V1.0)
+* [WizardLM/WizardCoder-Python-7B-V1.0](https://huggingface.co/WizardLM/WizardCoder-Python-7B-V1.0)
+
+## 🧩 Configuration
+
+```yaml
+base_model: ise-uiuc/Magicoder-S-CL-7B
+gate_mode: cheap_embed
+experts:
+  - source_model: deepseek-ai/deepseek-coder-6.7b-instruct
+    positive_prompts: ["You are an AI coder","coding","Java expert"]
+  - source_model: ise-uiuc/Magicoder-S-CL-7B
+    positive_prompts: ["You are an AI programmer","programming","C++ expert"]
+  - source_model: WizardLM/WizardMath-7B-V1.0
+    positive_prompts: ["Math problem solving","Think step by step","Math expert"]
+  - source_model: WizardLM/WizardCoder-Python-7B-V1.0
+    positive_prompts: ["Great at Deep learning","Algorithm and Data Structure","Python expert"]
+```
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers bitsandbytes accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "FelixChao/Magician-MoE-4x7B"
+
+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"])
+```