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--- |
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base_model: |
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- Qwen/Qwen2.5-1.5B-Instruct |
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- Kukedlc/Qwen2.5-1.5B-Spanish-1.0-DPO |
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tags: |
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- merge |
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- mergekit |
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- lazymergekit |
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- Qwen/Qwen2.5-1.5B-Instruct |
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- Kukedlc/Qwen2.5-1.5B-Spanish-1.0-DPO |
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license: apache-2.0 |
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datasets: |
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- multilingual/orca_dpo_pairs |
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- Kukedlc/Big-Spanish-1.2M |
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language: |
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- es |
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--- |
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# NeuralQwen-2.5-1.5B-Spanish |
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NeuralQwen-2.5-1.5B-Spanish is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing): |
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* [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct) |
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* [Kukedlc/Qwen2.5-1.5B-Spanish-1.0-DPO](https://huggingface.co/Kukedlc/Qwen2.5-1.5B-Spanish-1.0-DPO) |
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## 🧩 Configuration |
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```yaml |
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models: |
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- model: Qwen/Qwen2.5-1.5B |
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# No parameters necessary for base model |
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- model: Qwen/Qwen2.5-1.5B-Instruct |
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parameters: |
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density: 0.66 |
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weight: 0.6 |
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- model: Kukedlc/Qwen2.5-1.5B-Spanish-1.0-DPO |
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parameters: |
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density: 0.44 |
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weight: 0.4 |
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merge_method: dare_ties |
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base_model: Qwen/Qwen2.5-1.5B |
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parameters: |
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int8_mask: true |
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dtype: float16 |
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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 = "Kukedlc/NeuralQwen-2.5-1.5B-Spanish" |
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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."}, |
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{"role": "user", "content": "Cuantas letras 'r' tiene la palabra strawberry?"}] |
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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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``` |
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