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README.md ADDED
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+ ---
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+ base_model:
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+ - unsloth/Phi-3.5-mini-instruct
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+ - ihughes15234/phi35_tictactoe_dpo5epoch
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+ tags:
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+ - merge
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+ - mergekit
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+ - lazymergekit
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+ - unsloth/Phi-3.5-mini-instruct
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+ - ihughes15234/phi35_tictactoe_dpo5epoch
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+ ---
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+
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+ # Phi_3_dpo_ttt_Merge
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+
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+ Phi_3_dpo_ttt_Merge is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
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+ * [unsloth/Phi-3.5-mini-instruct](https://huggingface.co/unsloth/Phi-3.5-mini-instruct)
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+ * [ihughes15234/phi35_tictactoe_dpo5epoch](https://huggingface.co/ihughes15234/phi35_tictactoe_dpo5epoch)
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+
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+ ## 🧩 Configuration
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+
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+ ```yaml
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+ slices:
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+ - sources:
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+ - model: unsloth/Phi-3.5-mini-instruct
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+ layer_range: [0, 32]
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+ - model: ihughes15234/phi35_tictactoe_dpo5epoch
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+ layer_range: [0, 32]
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+ merge_method: slerp
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+ base_model: unsloth/Phi-3.5-mini-instruct
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+ parameters:
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+ t:
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+ - filter: self_attn
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+ value: [0, 0.5, 0.3, 0.7, 1]
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+ - filter: mlp
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+ value: [1, 0.5, 0.7, 0.3, 0]
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+ - value: 0.5
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+ dtype: bfloat16
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+ ```
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+
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+ ## 💻 Usage
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+
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+ ```python
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+ !pip install -qU transformers accelerate
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+
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+ from transformers import AutoTokenizer
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+ import transformers
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+ import torch
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+
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+ model = "ihughes15234/Phi_3_dpo_ttt_Merge"
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+ messages = [{"role": "user", "content": "What is a large language model?"}]
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+
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+ tokenizer = AutoTokenizer.from_pretrained(model)
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+ prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
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+ pipeline = transformers.pipeline(
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+ "text-generation",
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+ model=model,
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+ torch_dtype=torch.float16,
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+ device_map="auto",
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+ )
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+
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+ outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
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+ print(outputs[0]["generated_text"])
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+ ```
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+ }
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+ - model: ihughes15234/phi35_tictactoe_dpo5epoch
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113
+ "normalized": false,
114
+ "rstrip": true,
115
+ "single_word": false,
116
+ "special": true
117
+ }
118
+ },
119
+ "bos_token": "<s>",
120
+ "chat_template": "{% for message in messages %}{% if message['role'] == 'system' and message['content'] %}{{'<|system|>\n' + message['content'] + '<|end|>\n'}}{% elif message['role'] == 'user' %}{{'<|user|>\n' + message['content'] + '<|end|>\n'}}{% elif message['role'] == 'assistant' %}{{'<|assistant|>\n' + message['content'] + '<|end|>\n'}}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '<|assistant|>\n' }}{% else %}{{ eos_token }}{% endif %}",
121
+ "clean_up_tokenization_spaces": false,
122
+ "eos_token": "<|endoftext|>",
123
+ "legacy": false,
124
+ "model_max_length": 131072,
125
+ "pad_token": "<|placeholder6|>",
126
+ "padding_side": "left",
127
+ "sp_model_kwargs": {},
128
+ "tokenizer_class": "LlamaTokenizer",
129
+ "unk_token": "<unk>",
130
+ "use_default_system_prompt": false
131
+ }