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README.md

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 ---
 {}
 ---
----
-    license: 
-    base_model:
-      - psmathur/orca_mini_v3_13b
-      - WizardLM/WizardLM-13B-V1.2
-      - garage-bAInd/Platypus2-13B
-    tags:
-    - merge
-    - mergekit
-    - lazymergekit
-    - psmathur/orca_mini_v3_13b
-    - WizardLM/WizardLM-13B-V1.2
-    - garage-bAInd/Platypus2-13B
-    ---
-
-    # holaa
-
-    holaa is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
-    * [psmathur/orca_mini_v3_13b](https://huggingface.co/psmathur/orca_mini_v3_13b)
-    * [WizardLM/WizardLM-13B-V1.2](https://huggingface.co/WizardLM/WizardLM-13B-V1.2)
-    * [garage-bAInd/Platypus2-13B](https://huggingface.co/garage-bAInd/Platypus2-13B)
-
-    ## 🧩 Configuration
-
-    ```yamlmodels:
-  - model: psmathur/orca_mini_v3_13b
-    parameters:
-      weight: 1.0
-  - model: WizardLM/WizardLM-13B-V1.2
-    parameters:
-      weight: 0.3
-  - model: garage-bAInd/Platypus2-13B
-    parameters:
-      weight: 0.5
-merge_method: linear
-dtype: float16```
-
-    ## 💻 Usage
-
-    ```python
-    !pip install -qU transformers accelerate
-
-    from transformers import AutoTokenizer
-    import transformers
-    import torch
-
-    model = "mgv99/holaa"
-    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"])
-    ```
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