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--- |
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license: apache-2.0 |
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tags: |
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- moe |
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- merge |
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- mergekit |
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- lazymergekit |
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- phi3_mergekit |
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- microsoft/Phi-3-mini-4k-instruct |
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base_model: |
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- microsoft/Phi-3-mini-4k-instruct |
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- microsoft/Phi-3-mini-4k-instruct |
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--- |
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# Phi3Mix |
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Phi3Mix is a Mixture of Experts (MoE) made with the following models using [Phi3_LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing): |
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* [microsoft/Phi-3-mini-4k-instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct) |
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* [microsoft/Phi-3-mini-4k-instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct) |
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## 🧩 Configuration |
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```yaml |
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base_model: microsoft/Phi-3-mini-4k-instruct |
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gate_mode: cheap_embed |
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experts_per_token: 1 |
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dtype: float16 |
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experts: |
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- source_model: microsoft/Phi-3-mini-4k-instruct |
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positive_prompts: ["research, logic, math, science"] |
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- source_model: microsoft/Phi-3-mini-4k-instruct |
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positive_prompts: ["creative, art"] |
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``` |
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## 💻 Usage |
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```python |
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import torch |
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from transformers import AutoModelForCausalLM, AutoTokenizer |
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model = "HassanStar/Phi3Mix" |
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tokenizer = AutoTokenizer.from_pretrained(model) |
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model = AutoModelForCausalLM.from_pretrained( |
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model, |
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trust_remote_code=True, |
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) |
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prompt="How many continents are there?" |
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input = f"<|system|>You are a helpful AI assistant.<|end|><|user|>{prompt}<|assistant|>" |
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tokenized_input = tokenizer.encode(input, return_tensors="pt") |
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outputs = model.generate(tokenized_input, max_new_tokens=128, do_sample=True, temperature=0.7, top_k=50, top_p=0.95) |
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print(tokenizer.decode(outputs[0])) |
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``` |
