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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"])
+    ```