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.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
README.md ADDED
@@ -0,0 +1,63 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ base_model:
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+ - Qwen/Qwen2.5-7B-Instruct
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+ - Kukedlc/Qwen2.5-7B-Spanish-0.2
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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/Qwen2.5-7B-Instruct
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+ - Kukedlc/Qwen2.5-7B-Spanish-0.2
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+ ---
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+
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+ # NeuralQwen-7B-Spanish-Merge
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+
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+ NeuralQwen-7B-Spanish-Merge is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
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+ * [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct)
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+ * [Kukedlc/Qwen2.5-7B-Spanish-0.2](https://huggingface.co/Kukedlc/Qwen2.5-7B-Spanish-0.2)
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+
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+ ## 🧩 Configuration
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+
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+ ```yaml
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+ models:
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+ - model: Qwen/Qwen2.5-7B
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+ # No parameters necessary for base model
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+ - model: Qwen/Qwen2.5-7B-Instruct
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+ parameters:
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+ density: 0.53
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+ weight: 0.4
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+ - model: Kukedlc/Qwen2.5-7B-Spanish-0.2
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+ parameters:
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+ density: 0.44
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+ weight: 0.6
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+ merge_method: dare_ties
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+ base_model: Qwen/Qwen2.5-7B
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+ parameters:
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+ int8_mask: true
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+ dtype: bfloat16
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+ ```
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+
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+ ## 💻 Usage
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+
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+ ```python
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+ !pip install -qU transformers accelerate
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+
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+ from transformers import AutoTokenizer
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+ import transformers
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+ import torch
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+
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+ model = "Kukedlc/NeuralQwen-7B-Spanish-Merge"
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+ messages = [{"role": "user", "content": "What is a large language model?"}]
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+
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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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+
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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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config.json ADDED
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+ {
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+ "_name_or_path": "Qwen/Qwen2.5-7B",
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+ "architectures": [
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+ "Qwen2ForCausalLM"
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+ ],
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+ "attention_dropout": 0.0,
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+ "rms_norm_eps": 1e-06,
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+ "transformers_version": "4.47.0",
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+ "use_cache": true,
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+ "use_mrope": false,
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+ "use_sliding_window": false,
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+ "vocab_size": 152064
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+ }
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+
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+ models:
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+ - model: Qwen/Qwen2.5-7B
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+ # No parameters necessary for base model
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+ - model: Qwen/Qwen2.5-7B-Instruct
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+ parameters:
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+ density: 0.53
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+ weight: 0.4
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+ - model: Kukedlc/Qwen2.5-7B-Spanish-0.2
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+ parameters:
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+ density: 0.44
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+ weight: 0.6
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+ merge_method: dare_ties
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+ base_model: Qwen/Qwen2.5-7B
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+ parameters:
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+ int8_mask: true
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+ dtype: bfloat16
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