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README.md

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+---
+license: apache-2.0
+tags:
+- moe
+- frankenmoe
+- merge
+- mergekit
+- lazymergekit
+- cognitivecomputations/dolphin-2_6-phi-2
+- rhysjones/phi-2-orange
+base_model:
+- cognitivecomputations/dolphin-2_6-phi-2
+- rhysjones/phi-2-orange
+---
+
+# PhiMiX-2x2B
+
+PhiMiX-2x2B is a Mixure of Experts (MoE) made with the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
+* [cognitivecomputations/dolphin-2_6-phi-2](https://huggingface.co/cognitivecomputations/dolphin-2_6-phi-2)
+* [rhysjones/phi-2-orange](https://huggingface.co/rhysjones/phi-2-orange)
+
+## 🧩 Configuration
+
+```yaml
+base_model: rhysjones/phi-2-orange
+gate_mode: random
+dtype: float16
+experts:
+  - source_model: cognitivecomputations/dolphin-2_6-phi-2
+    positive_prompts: [""]
+  - source_model: rhysjones/phi-2-orange
+    positive_prompts: [""]
+```
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers bitsandbytes accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "paulilioaica/PhiMiX-2x2B"
+
+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"])
+```

added_tokens.json

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+}

config.json

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+{
+  "_name_or_path": "rhysjones/phi-2-orange",
+  "activation_function": "gelu_new",
+  "architectures": [
+    "PhiForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "attn_pdrop": 0.0,
+  "auto_map": {
+    "AutoConfig": "rhysjones/phi-2-orange--configuration_phi.PhiConfig",
+    "AutoModelForCausalLM": "rhysjones/phi-2-orange--modeling_phi.PhiForCausalLM"
+  },
+  "bos_token_id": null,
+  "embd_pdrop": 0.0,
+  "eos_token_id": null,
+  "flash_attn": false,
+  "flash_rotary": false,
+  "fused_dense": false,
+  "hidden_act": "gelu_new",
+  "hidden_size": 2048,
+  "img_processor": null,
+  "initializer_range": 0.02,
+  "intermediate_size": 8192,
+  "layer_norm_eps": 1e-05,
+  "layer_norm_epsilon": 1e-05,
+  "max_position_embeddings": 2048,
+  "model_type": "phi",
+  "n_embd": 2560,
+  "n_head": 32,
+  "n_head_kv": null,
+  "n_inner": null,
+  "n_layer": 32,
+  "n_positions": 2048,
+  "num_attention_heads": 32,
+  "num_experts_per_tok": 2,
+  "num_hidden_layers": 24,
+  "num_key_value_heads": 32,
+  "num_local_experts": 2,
+  "partial_rotary_factor": 0.5,
+  "qk_layernorm": false,
+  "resid_pdrop": 0.1,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "rotary_dim": 32,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.37.1",
+  "use_cache": false,
+  "vocab_size": 51200
+}

mergekit_moe_config.yml

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+
+base_model: rhysjones/phi-2-orange
+gate_mode: random
+dtype: float16
+experts:
+  - source_model: cognitivecomputations/dolphin-2_6-phi-2
+    positive_prompts: [""]
+  - source_model: rhysjones/phi-2-orange
+    positive_prompts: [""]

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