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README.md

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+---
+license: apache-2.0
+tags:
+- moe
+- mergekit
+- merge
+- chinese
+- arabic
+- english
+- multilingual
+- german
+- french
+- jondurbin/bagel-dpo-34b-v0.2
+- jondurbin/nontoxic-bagel-34b-v0.2
+---
+
+# MetaModel_moe_yix2
+
+This model is a Mixure of Experts (MoE) made with [mergekit](https://github.com/cg123/mergekit) (mixtral branch). It uses the following base models:
+* [jondurbin/bagel-dpo-34b-v0.2](https://huggingface.co/jondurbin/bagel-dpo-34b-v0.2)
+* [jondurbin/nontoxic-bagel-34b-v0.2](https://huggingface.co/jondurbin/nontoxic-bagel-34b-v0.2)
+
+## 🧩 Configuration
+
+```yamlbase_model: jondurbin/bagel-dpo-34b-v0.2
+dtype: bfloat16
+experts:
+- positive_prompts:
+  - chat
+  - assistant
+  - tell me
+  - explain
+  source_model: jondurbin/bagel-dpo-34b-v0.2
+- positive_prompts:
+  - chat
+  - assistant
+  - tell me
+  - explain
+  source_model: jondurbin/nontoxic-bagel-34b-v0.2
+gate_mode: hidden
+```
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers bitsandbytes accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "gagan3012/MetaModel_moe_yix2"
+
+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"])
+```