Create README.md

README.md

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+---
+license: apache-2.0
+base_model:
+- mistralai/Ministral-3-14B-Instruct-2512
+---
+
+# Ministral-3-14B-Instruct-2512-TextOnly
+
+This model is the **text-only component** extracted from the Vision-Language Model [mistralai/Ministral-3-14B-Instruct-2512](https://huggingface.co/mistralai/Ministral-3-14B-Instruct-2512).
+
+## Usage
+
+You can load this model using `AutoModelForCausalLM` as shown below:
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model_id = "Aratako/Ministral-3-14B-Instruct-2512-TextOnly"
+
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(
+    model_id,
+    device_map="cuda",
+)
+
+messages = [
+    {
+        "role": "user",
+        "content": "Tell me a joke about computers.",
+    },
+]
+
+input_ids = tokenizer.apply_chat_template(messages, return_tensors="pt").to("cuda")
+
+output = model.generate(
+    input_ids, max_new_tokens=512, pad_token_id=tokenizer.eos_token_id
+)
+
+decoded_output = tokenizer.decode(
+    output[0][len(input_ids[0]) :], skip_special_tokens=True
+)
+print(decoded_output)
+```
+
+## Original Model Information
+
+This is a weight extraction of the original VLM. For detailed benchmarks, licensing details, and architectural information, please refer to the original model card: **[mistralai/Ministral-3-14B-Instruct-2512](https://huggingface.co/mistralai/Ministral-3-14B-Instruct-2512)**