Convert to SafeTensors format for security compliance

README.md

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+---
+license: apache-2.0
+base_model: Qwen/Qwen3-0.6B-Base
+tags:
+- dpo
+- fdpo
+- math
+- code
+- qwen3
+- reasoning
+datasets:
+- albertfares/MNLP_M3_dpo_dataset
+language:
+- en
+pipeline_tag: text-generation
+---
+
+# MNLP M3 fDPO Model (69k samples)
+
+This model is a fine-tuned version of [Qwen/Qwen3-0.6B-Base](https://huggingface.co/Qwen/Qwen3-0.6B-Base) using **filtered Direct Preference Optimization (fDPO)** on the [MNLP M3 DPO dataset](https://huggingface.co/datasets/albertfares/MNLP_M3_dpo_dataset).
+
+## Model Details
+
+- **Base Model**: Qwen/Qwen3-0.6B-Base
+- **Training Method**: fDPO (filtered Direct Preference Optimization)
+- **Dataset**: MNLP M3 mixed dataset (~69k samples)
+- **Format**: SafeTensors (secure format)
+
+## Usage
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model = AutoModelForCausalLM.from_pretrained("albertfares/MNLP_M3_dpo_model_69k")
+tokenizer = AutoTokenizer.from_pretrained("albertfares/MNLP_M3_dpo_model_69k")
+```
+
+This model uses SafeTensors format for enhanced security and faster loading.

model.safetensors

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+size 1503300296