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--- |
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base_model: |
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- m-a-p/neo_7b |
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- DewEfresh/neo_7b |
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tags: |
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- merge |
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- mergekit |
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- lazymergekit |
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- m-a-p/neo_7b |
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- DewEfresh/neo_7b |
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--- |
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# Neo_7b-merge5 |
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Neo_7b-merge5 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing): |
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* [m-a-p/neo_7b](https://huggingface.co/m-a-p/neo_7b) |
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* [DewEfresh/neo_7b](https://huggingface.co/DewEfresh/neo_7b) |
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## 🧩 Configuration |
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```yaml |
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slices: |
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# Group 1 |
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- sources: |
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- model: m-a-p/neo_7b |
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layer_range: [0, 0] |
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- model: DewEfresh/neo_7b |
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layer_range: [0, 0] |
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- sources: |
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- model: m-a-p/neo_7b |
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layer_range: [1, 1] |
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- model: DewEfresh/neo_7b |
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layer_range: [1, 1] |
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- sources: |
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- model: m-a-p/neo_7b |
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layer_range: [2, 2] |
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- model: DewEfresh/neo_7b |
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layer_range: [2, 2] |
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- sources: |
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- model: m-a-p/neo_7b |
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layer_range: [3, 3] |
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- model: DewEfresh/neo_7b |
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layer_range: [3, 3] |
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# Group 2 |
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- sources: |
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- model: m-a-p/neo_7b |
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layer_range: [4, 4] |
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- model: DewEfresh/neo_7b |
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layer_range: [4, 4] |
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- sources: |
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- model: m-a-p/neo_7b |
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layer_range: [5, 5] |
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- model: DewEfresh/neo_7b |
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layer_range: [5, 5] |
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- sources: |
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- model: m-a-p/neo_7b |
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layer_range: [6, 6] |
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- model: DewEfresh/neo_7b |
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layer_range: [6, 6] |
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- sources: |
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- model: m-a-p/neo_7b |
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layer_range: [7, 7] |
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- model: DewEfresh/neo_7b |
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layer_range: [7, 7] |
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# Group 3 |
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- sources: |
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- model: m-a-p/neo_7b |
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layer_range: [8, 8] |
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- model: DewEfresh/neo_7b |
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layer_range: [8, 8] |
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- sources: |
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- model: m-a-p/neo_7b |
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layer_range: [9, 9] |
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- model: DewEfresh/neo_7b |
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layer_range: [9, 9] |
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- sources: |
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- model: m-a-p/neo_7b |
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layer_range: [10, 10] |
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- model: DewEfresh/neo_7b |
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layer_range: [10, 10] |
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- sources: |
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- model: m-a-p/neo_7b |
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layer_range: [11, 11] |
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- model: DewEfresh/neo_7b |
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layer_range: [11, 11] |
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# Group 4 |
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- sources: |
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- model: m-a-p/neo_7b |
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layer_range: [12, 12] |
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- model: DewEfresh/neo_7b |
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layer_range: [12, 12] |
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- sources: |
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- model: m-a-p/neo_7b |
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layer_range: [13, 13] |
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- model: DewEfresh/neo_7b |
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layer_range: [13, 13] |
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- sources: |
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- model: m-a-p/neo_7b |
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layer_range: [14, 14] |
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- model: DewEfresh/neo_7b |
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layer_range: [14, 14] |
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- sources: |
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- model: m-a-p/neo_7b |
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layer_range: [15, 15] |
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- model: DewEfresh/neo_7b |
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layer_range: [15, 15] |
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# Group 5 |
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- sources: |
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- model: m-a-p/neo_7b |
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layer_range: [16, 16] |
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- model: DewEfresh/neo_7b |
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layer_range: [16, 16] |
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- sources: |
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- model: m-a-p/neo_7b |
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layer_range: [17, 17] |
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- model: DewEfresh/neo_7b |
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layer_range: [17, 17] |
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- sources: |
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- model: m-a-p/neo_7b |
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layer_range: [18, 18] |
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- model: DewEfresh/neo_7b |
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layer_range: [18, 18] |
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- sources: |
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- model: m-a-p/neo_7b |
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layer_range: [19, 19] |
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- model: DewEfresh/neo_7b |
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layer_range: [19, 19] |
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# Group 6 |
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- sources: |
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- model: m-a-p/neo_7b |
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layer_range: [20, 20] |
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- model: DewEfresh/neo_7b |
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layer_range: [20, 20] |
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- sources: |
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- model: m-a-p/neo_7b |
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layer_range: [21, 21] |
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- model: DewEfresh/neo_7b |
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layer_range: [21, 21] |
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- sources: |
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- model: m-a-p/neo_7b |
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layer_range: [22, 22] |
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- model: DewEfresh/neo_7b |
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layer_range: [22, 22] |
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- sources: |
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- model: m-a-p/neo_7b |
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layer_range: [23, 23] |
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- model: DewEfresh/neo_7b |
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layer_range: [23, 23] |
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# Group 7 (last group) |
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- sources: |
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- model: m-a-p/neo_7b |
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layer_range: [24, 24] |
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- model: DewEfresh/neo_7b |
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layer_range: [24, 24] |
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- sources: |
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- model: m-a-p/neo_7b |
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layer_range: [25, 25] |
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- model: DewEfresh/neo_7b |
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layer_range: [25, 25] |
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- sources: |
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- model: m-a-p/neo_7b |
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layer_range: [26, 26] |
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- model: DewEfresh/neo_7b |
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layer_range: [26, 26] |
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- sources: |
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- model: m-a-p/neo_7b |
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layer_range: [27, 27] |
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- model: DewEfresh/neo_7b |
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layer_range: [27, 27] |
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merge_method: slerp |
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base_model: m-a-p/neo_7b |
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parameters: |
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t: 0.5 # Equal weight to both models |
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dtype: bfloat16 |
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output_path: ./merged_map_dewefresh_neo_7b |
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``` |
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## 💻 Usage |
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```python |
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!pip install -qU transformers accelerate |
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from transformers import AutoTokenizer |
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import transformers |
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import torch |
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model = "DewEfresh/Neo_7b-merge5" |
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messages = [{"role": "user", "content": "What is a large language model?"}] |
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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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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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``` |
