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README.md

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+---
+tags:
+- merge
+- mergekit
+- lazymergekit
+- Venkman42/Phiter
+- Venkman42/Phiter
+- Venkman42/Phiter
+- Venkman42/Phiter
+- Venkman42/Phiter
+- Venkman42/Phiter
+- Venkman42/Phiter
+- Venkman42/Phiter
+- Venkman42/Phiter
+- Venkman42/Phiter
+- Venkman42/Phiter
+- Venkman42/Phiter
+- Venkman42/Phiter
+- Venkman42/Phiter
+- Venkman42/Phiter
+base_model:
+- Venkman42/Phiter
+- Venkman42/Phiter
+- Venkman42/Phiter
+- Venkman42/Phiter
+- Venkman42/Phiter
+- Venkman42/Phiter
+- Venkman42/Phiter
+- Venkman42/Phiter
+- Venkman42/Phiter
+- Venkman42/Phiter
+- Venkman42/Phiter
+- Venkman42/Phiter
+- Venkman42/Phiter
+- Venkman42/Phiter
+- Venkman42/Phiter
+---
+
+# Phitor
+
+Phitor is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
+* [Venkman42/Phiter](https://huggingface.co/Venkman42/Phiter)
+* [Venkman42/Phiter](https://huggingface.co/Venkman42/Phiter)
+* [Venkman42/Phiter](https://huggingface.co/Venkman42/Phiter)
+* [Venkman42/Phiter](https://huggingface.co/Venkman42/Phiter)
+* [Venkman42/Phiter](https://huggingface.co/Venkman42/Phiter)
+* [Venkman42/Phiter](https://huggingface.co/Venkman42/Phiter)
+* [Venkman42/Phiter](https://huggingface.co/Venkman42/Phiter)
+* [Venkman42/Phiter](https://huggingface.co/Venkman42/Phiter)
+* [Venkman42/Phiter](https://huggingface.co/Venkman42/Phiter)
+* [Venkman42/Phiter](https://huggingface.co/Venkman42/Phiter)
+* [Venkman42/Phiter](https://huggingface.co/Venkman42/Phiter)
+* [Venkman42/Phiter](https://huggingface.co/Venkman42/Phiter)
+* [Venkman42/Phiter](https://huggingface.co/Venkman42/Phiter)
+* [Venkman42/Phiter](https://huggingface.co/Venkman42/Phiter)
+* [Venkman42/Phiter](https://huggingface.co/Venkman42/Phiter)
+
+## 🧩 Configuration
+
+```yaml
+dtype: float16
+merge_method: passthrough
+slices:
+- sources:
+  - layer_range: [0, 4]
+    model: Venkman42/Phiter
+- sources:
+  - layer_range: [2, 6]
+    model: Venkman42/Phiter
+- sources:
+  - layer_range: [4, 8]
+    model: Venkman42/Phiter
+- sources:
+  - layer_range: [6, 10]
+    model: Venkman42/Phiter
+- sources:
+  - layer_range: [8, 12]
+    model: Venkman42/Phiter
+- sources:
+  - layer_range: [10, 14]
+    model: Venkman42/Phiter
+- sources:
+  - layer_range: [12, 16]
+    model: Venkman42/Phiter
+- sources:
+  - layer_range: [14, 18]
+    model: Venkman42/Phiter
+- sources:
+  - layer_range: [16, 20]
+    model: Venkman42/Phiter
+- sources:
+  - layer_range: [18, 22]
+    model: Venkman42/Phiter
+- sources:
+  - layer_range: [20, 24]
+    model: Venkman42/Phiter
+- sources:
+  - layer_range: [22, 26]
+    model: Venkman42/Phiter
+- sources:
+  - layer_range: [24, 28]
+    model: Venkman42/Phiter
+- sources:
+  - layer_range: [26, 30]
+    model: Venkman42/Phiter
+- sources:
+  - layer_range: [28, 32]
+    model: Venkman42/Phiter
+
+
+```
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "Venkman42/Phitor"
+messages = [{"role": "user", "content": "What is a large language model?"}]
+
+tokenizer = AutoTokenizer.from_pretrained(model)
+prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+pipeline = transformers.pipeline(
+    "text-generation",
+    model=model,
+    torch_dtype=torch.float16,
+    device_map="auto",
+)
+
+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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+{
+  "\t\t": 50294,
+  "\t\t\t": 50293,
+  "\t\t\t\t": 50292,
+  "\t\t\t\t\t": 50291,
+  "\t\t\t\t\t\t": 50290,
+  "\t\t\t\t\t\t\t": 50289,
+  "\t\t\t\t\t\t\t\t": 50288,
+  "\t\t\t\t\t\t\t\t\t": 50287,
+  "  ": 50286,
+  "   ": 50285,
+  "    ": 50284,
+  "     ": 50283,
+  "      ": 50282,
+  "       ": 50281,
+  "        ": 50280,
+  "         ": 50279,
+  "          ": 50278,
+  "           ": 50277,
+  "            ": 50276,
+  "             ": 50275,
+  "              ": 50274,
+  "               ": 50273,
+  "                ": 50272,
+  "                 ": 50271,
+  "                  ": 50270,
+  "                   ": 50269,
+  "                    ": 50268,
+  "                     ": 50267,
+  "                      ": 50266,
+  "                       ": 50265,
+  "                        ": 50264,
+  "                         ": 50263,
+  "                          ": 50262,
+  "                           ": 50261,
+  "                            ": 50260,
+  "                             ": 50259,
+  "                              ": 50258,
+  "                               ": 50257
+}

config.json

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+{
+  "_name_or_path": "Venkman42/Phiter",
+  "activation_function": "gelu_new",
+  "architectures": [
+    "PhiForCausalLM"
+  ],
+  "attn_pdrop": 0.0,
+  "auto_map": {
+    "AutoConfig": "mixedbread-ai/phi-2--configuration_phi.PhiConfig",
+    "AutoModelForCausalLM": "mixedbread-ai/phi-2--modeling_phi.PhiForCausalLM"
+  },
+  "embd_pdrop": 0.0,
+  "flash_attn": false,
+  "flash_rotary": false,
+  "fused_dense": false,
+  "img_processor": null,
+  "initializer_range": 0.02,
+  "layer_norm_epsilon": 1e-05,
+  "model_type": "phi-msft",
+  "n_embd": 2560,
+  "n_head": 32,
+  "n_head_kv": null,
+  "n_inner": null,
+  "n_layer": 60,
+  "n_positions": 2048,
+  "resid_pdrop": 0.1,
+  "rotary_dim": 32,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.37.2",
+  "vocab_size": 51200
+}

mergekit_config.yml

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+
+dtype: float16
+merge_method: passthrough
+slices:
+- sources:
+  - layer_range: [0, 4]
+    model: Venkman42/Phiter
+- sources:
+  - layer_range: [2, 6]
+    model: Venkman42/Phiter
+- sources:
+  - layer_range: [4, 8]
+    model: Venkman42/Phiter
+- sources:
+  - layer_range: [6, 10]
+    model: Venkman42/Phiter
+- sources:
+  - layer_range: [8, 12]
+    model: Venkman42/Phiter
+- sources:
+  - layer_range: [10, 14]
+    model: Venkman42/Phiter
+- sources:
+  - layer_range: [12, 16]
+    model: Venkman42/Phiter
+- sources:
+  - layer_range: [14, 18]
+    model: Venkman42/Phiter
+- sources:
+  - layer_range: [16, 20]
+    model: Venkman42/Phiter
+- sources:
+  - layer_range: [18, 22]
+    model: Venkman42/Phiter
+- sources:
+  - layer_range: [20, 24]
+    model: Venkman42/Phiter
+- sources:
+  - layer_range: [22, 26]
+    model: Venkman42/Phiter
+- sources:
+  - layer_range: [24, 28]
+    model: Venkman42/Phiter
+- sources:
+  - layer_range: [26, 30]
+    model: Venkman42/Phiter
+- sources:
+  - layer_range: [28, 32]
+    model: Venkman42/Phiter
+
+

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special_tokens_map.json

@@ -0,0 +1,23 @@
+{
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+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
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+  },
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+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

@@ -0,0 +1,323 @@
+{
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+}