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README.md

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+---
+base_model:
+- m-a-p/neo_7b
+- m-a-p/neo_7b
+tags:
+- merge
+- mergekit
+- lazymergekit
+- m-a-p/neo_7b
+---
+
+# neo_7b-slerp
+
+neo_7b-slerp is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
+* [m-a-p/neo_7b](https://huggingface.co/m-a-p/neo_7b)
+* [m-a-p/neo_7b](https://huggingface.co/m-a-p/neo_7b)
+
+## 🧩 Configuration
+
+```yaml
+slices:
+  - sources:
+      - model: m-a-p/neo_7b
+        layer_range: [0, 1]
+      - model: m-a-p/neo_7b
+        layer_range: [1, 2]
+  - sources:
+      - model: m-a-p/neo_7b
+        layer_range: [2, 3]
+      - model: m-a-p/neo_7b
+        layer_range: [3, 4]
+  - sources:
+      - model: m-a-p/neo_7b
+        layer_range: [4, 5]
+      - model: m-a-p/neo_7b
+        layer_range: [5,6]
+  - sources:
+      - model: m-a-p/neo_7b
+        layer_range: [6, 7]
+      - model: m-a-p/neo_7b
+        layer_range: [7, 8]
+  - sources:
+      - model: m-a-p/neo_7b
+        layer_range: [8, 9]
+      - model: m-a-p/neo_7b
+        layer_range: [9, 10]
+  - sources:
+      - model: m-a-p/neo_7b
+        layer_range: [10, 11]
+      - model: m-a-p/neo_7b        
+        layer_range: [11, 12]
+  - sources:
+      - model: m-a-p/neo_7b
+        layer_range: [12, 13]
+      - model: m-a-p/neo_7b
+        layer_range: [13, 14]
+  - sources:
+      - model: m-a-p/neo_7b
+        layer_range: [14, 15]
+      - model: m-a-p/neo_7b
+        layer_range: [15, 16]
+  - sources:
+      - model: m-a-p/neo_7b
+        layer_range: [16, 17]
+      - model: m-a-p/neo_7b
+        layer_range: [17, 18]
+  - sources:
+      - model: m-a-p/neo_7b
+        layer_range: [18, 19]
+      - model: m-a-p/neo_7b
+        layer_range: [19, 20]
+  - sources:
+      - model: m-a-p/neo_7b
+        layer_range: [20, 21]
+      - model: m-a-p/neo_7b
+        layer_range: [21, 22]
+  - sources:
+      - model: m-a-p/neo_7b
+        layer_range: [22, 23]
+      - model: m-a-p/neo_7b
+        layer_range: [23, 24]
+  - sources:
+      - model: m-a-p/neo_7b
+        layer_range: [24, 25]
+      - model: m-a-p/neo_7b
+        layer_range: [25, 26]
+  - sources:
+      - model: m-a-p/neo_7b
+        layer_range: [26, 27]    
+      - model: m-a-p/neo_7b
+        layer_range: [27, 28]
+merge_method: slerp
+base_model: m-a-p/neo_7b
+parameters:
+  t: 0.5
+dtype: bfloat16
+```
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "DewEfresh/neo_7b-slerp"
+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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+{
+  "<|CLS|>": 64000,
+  "<|EOD|>": 64002,
+  "<|MASK|>": 64003,
+  "<|PAD|>": 64004,
+  "<|SEP|>": 64001
+}

config.json

@@ -0,0 +1,29 @@
+{
+  "_name_or_path": "m-a-p/neo_7b",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 3072,
+  "initializer_range": 0.02,
+  "intermediate_size": 24576,
+  "max_position_embeddings": 8192,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 14,
+  "num_key_value_heads": 16,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.41.2",
+  "use_cache": true,
+  "vocab_size": 64256
+}

mergekit_config.yml

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+
+slices:
+  - sources:
+      - model: m-a-p/neo_7b
+        layer_range: [0, 1]
+      - model: m-a-p/neo_7b
+        layer_range: [1, 2]
+  - sources:
+      - model: m-a-p/neo_7b
+        layer_range: [2, 3]
+      - model: m-a-p/neo_7b
+        layer_range: [3, 4]
+  - sources:
+      - model: m-a-p/neo_7b
+        layer_range: [4, 5]
+      - model: m-a-p/neo_7b
+        layer_range: [5,6]
+  - sources:
+      - model: m-a-p/neo_7b
+        layer_range: [6, 7]
+      - model: m-a-p/neo_7b
+        layer_range: [7, 8]
+  - sources:
+      - model: m-a-p/neo_7b
+        layer_range: [8, 9]
+      - model: m-a-p/neo_7b
+        layer_range: [9, 10]
+  - sources:
+      - model: m-a-p/neo_7b
+        layer_range: [10, 11]
+      - model: m-a-p/neo_7b        
+        layer_range: [11, 12]
+  - sources:
+      - model: m-a-p/neo_7b
+        layer_range: [12, 13]
+      - model: m-a-p/neo_7b
+        layer_range: [13, 14]
+  - sources:
+      - model: m-a-p/neo_7b
+        layer_range: [14, 15]
+      - model: m-a-p/neo_7b
+        layer_range: [15, 16]
+  - sources:
+      - model: m-a-p/neo_7b
+        layer_range: [16, 17]
+      - model: m-a-p/neo_7b
+        layer_range: [17, 18]
+  - sources:
+      - model: m-a-p/neo_7b
+        layer_range: [18, 19]
+      - model: m-a-p/neo_7b
+        layer_range: [19, 20]
+  - sources:
+      - model: m-a-p/neo_7b
+        layer_range: [20, 21]
+      - model: m-a-p/neo_7b
+        layer_range: [21, 22]
+  - sources:
+      - model: m-a-p/neo_7b
+        layer_range: [22, 23]
+      - model: m-a-p/neo_7b
+        layer_range: [23, 24]
+  - sources:
+      - model: m-a-p/neo_7b
+        layer_range: [24, 25]
+      - model: m-a-p/neo_7b
+        layer_range: [25, 26]
+  - sources:
+      - model: m-a-p/neo_7b
+        layer_range: [26, 27]    
+      - model: m-a-p/neo_7b
+        layer_range: [27, 28]
+merge_method: slerp
+base_model: m-a-p/neo_7b
+parameters:
+  t: 0.5
+dtype: bfloat16

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+}

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+      "rstrip": false,
+      "single_word": true,
+      "special": true
+    },
+    "64000": {
+      "content": "<|CLS|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "64001": {
+      "content": "<|SEP|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "64002": {
+      "content": "<|EOD|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "64003": {
+      "content": "<|MASK|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "64004": {
+      "content": "<|PAD|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "<|CLS|>",
+    "<|SEP|>",
+    "<|EOD|>",
+    "<|MASK|>",
+    "<|PAD|>"
+  ],
+  "auto_map": {
+    "AutoTokenizer": [
+      "m-a-p/neo_7b--tokenization_neo.NEOTokenizer",
+      null
+    ]
+  },
+  "bos_token": "<s>",
+  "chat_template": "{% set system_message = 'You are a helpful, respectful and honest assistant. Always answer as helpfully as possible, while being safe. Your answers should not include any harmful, unethical, racist, sexist, toxic, dangerous, or illegal content. Please ensure that your responses are socially unbiased and positive in nature.\\n\\nIf a question does not make any sense, or is not factually coherent, explain why instead of answering something not correct. If you don\\'t know the answer to a question, please don\\'t share false information.' %}{% if messages[0]['role'] == 'system' %}{% set system_message = messages[0]['content'] %}{% endif %}{% for message in messages %}{% set content = message['content'] %}{% if loop.index0 == 0 and system_message is defined %}{% set content = '<<SYS>>\\n' + system_message + '\\n<</SYS>>\\n\\n' + message['content'] %}{% endif %}{% if message['role'] == 'user' %}{{ '<s>' + '[INST] ' + content + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ content + '</s>' }}{% endif %}{% endfor %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "model_max_length": 4096,
+  "pad_token": "<unk>",
+  "padding_side": "right",
+  "sp_model_kwargs": {},
+  "split_special_tokens": false,
+  "tokenizer_class": "NEOTokenizer",
+  "unk_token": "<unk>",
+  "use_fast": false
+}