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+neuralqwen-2.5-1.5b-spanish.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
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README.md

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+---
+base_model:
+- Qwen/Qwen2.5-1.5B-Instruct
+- Kukedlc/Qwen2.5-1.5B-Spanish-1.0-DPO
+datasets:
+- multilingual/orca_dpo_pairs
+- Kukedlc/Big-Spanish-1.2M
+language:
+- es
+license: apache-2.0
+tags:
+- merge
+- mergekit
+- lazymergekit
+- Qwen/Qwen2.5-1.5B-Instruct
+- Kukedlc/Qwen2.5-1.5B-Spanish-1.0-DPO
+- autoquant
+- gguf
+---
+
+# NeuralQwen-2.5-1.5B-Spanish
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/64d71ab4089bc502ceb44d29/bQMhMwK-xDvHMIbDFpxN5.png)
+
+
+NeuralQwen-2.5-1.5B-Spanish is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
+* [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct)
+* [Kukedlc/Qwen2.5-1.5B-Spanish-1.0-DPO](https://huggingface.co/Kukedlc/Qwen2.5-1.5B-Spanish-1.0-DPO)
+
+## 🧩 Configuration
+
+```yaml
+models:
+  - model: Qwen/Qwen2.5-1.5B
+    # No parameters necessary for base model
+  - model: Qwen/Qwen2.5-1.5B-Instruct
+    parameters:
+      density: 0.66
+      weight: 0.6
+  - model: Kukedlc/Qwen2.5-1.5B-Spanish-1.0-DPO
+    parameters:
+      density: 0.44
+      weight: 0.4
+merge_method: dare_ties
+base_model: Qwen/Qwen2.5-1.5B
+parameters:
+  int8_mask: true
+dtype: float16
+```
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "Kukedlc/NeuralQwen-2.5-1.5B-Spanish"
+messages = [{"role": "system", "content": "Eres un asistente de pensamiento logico que piensa paso a paso, por cada pregunta que te hagan deberes comprobar la respuesta por 3 metodos diferentes."}, 
+            {"role": "user", "content": "Cuantas letras 'r' tiene la palabra strawberry?"}]
+
+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"])
+```
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/64d71ab4089bc502ceb44d29/Tu9FV0dQJXz-mlriKNqdE.png)
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/64d71ab4089bc502ceb44d29/sg8c5HlcbJ89q5MknX-Gf.png)
+

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