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--- |
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tags: |
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- merge |
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- mergekit |
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- lazymergekit |
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- Kaoeiri/Keiana-L3-Test5.2-8B-8 |
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- Undi95/Llama-3-LewdPlay-8B |
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- Kaoeiri/Keiana-L3-Test4.7-8B-3 |
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base_model: |
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- Kaoeiri/Keiana-L3-Test5.2-8B-8 |
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- Undi95/Llama-3-LewdPlay-8B |
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- Kaoeiri/Keiana-L3-Test4.7-8B-3 |
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--- |
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# Keiana-L3-Test5.76-8B-13.6 |
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Keiana-L3-Test5.76-8B-13.6 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing): |
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# Keep in mind that, this merged model isn't usually tested at the moment, which could benefit in vocabulary error. |
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* [Kaoeiri/Keiana-L3-Test5.2-8B-8](https://huggingface.co/Kaoeiri/Keiana-L3-Test5.2-8B-8) |
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* [Undi95/Llama-3-LewdPlay-8B](https://huggingface.co/Undi95/Llama-3-LewdPlay-8B) |
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* [Kaoeiri/Keiana-L3-Test4.7-8B-3](https://huggingface.co/Kaoeiri/Keiana-L3-Test4.7-8B-3) |
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## 🧩 Configuration |
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```yaml |
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merge_method: model_stock |
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dtype: float16 |
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base_model: Kaoeiri/Keiana-L3-Test5.6-8B-12 |
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models: |
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- model: Kaoeiri/Keiana-L3-Test5.2-8B-8 |
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parameters: |
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weight: .4 |
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density: .4 |
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- model: Undi95/Llama-3-LewdPlay-8B |
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parameters: |
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weight: .2 |
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density: .4 |
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- model: Kaoeiri/Keiana-L3-Test4.7-8B-3 |
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parameters: |
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weight: .1 |
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density: .2 |
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parameters: |
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int8_mask: true |
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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 = "Kaoeiri/Keiana-L3-Test5.76-8B-13.6" |
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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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``` |