Add model card and metadata

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README.md

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+---
+language:
+- es
+license: apache-2.0
+base_model: Qwen/Qwen3-4B-Instruct-2507
+library_name: transformers
+pipeline_tag: text-generation
+tags:
+- peft
+- lora
+- qlora
+- qwen3
+- spanish
+---
+
+# qwen3-4b-argentum LoRA
+
+This repository contains a PEFT LoRA adapter for Qwen3-4B-Instruct-2507. It is intended for Spanish instruction following.
+
+## Usage
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+from peft import PeftModel
+base = "Qwen/Qwen3-4B-Instruct-2507"
+tok = AutoTokenizer.from_pretrained(base, trust_remote_code=True)
+model = AutoModelForCausalLM.from_pretrained(base, trust_remote_code=True, device_map="auto")
+model = PeftModel.from_pretrained(model, "frizynn/qwen3-4b-argentum")
+prompt = tok.apply_chat_template([{"role":"user","content":"hola"}], tokenize=False, add_generation_prompt=True)
+ids = tok(prompt, return_tensors="pt").to(model.device)
+out = model.generate(**ids, max_new_tokens=64)
+print(tok.decode(out[0], skip_special_tokens=True))
+```
+
+## Training details
+Describe data, steps, hyperparameters, and safety considerations here.