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MNLP_SFT_DPO – AI Model by albertfares | AlphaNeural AI

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albertfares/
MNLP_SFT_DPO

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text-generation

albertfares/MNLP_M3_dpo_dataset

Qwen/Qwen3-0.6B-Base

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MNLP M3 fDPO Model (69k samples)

This model is a fine-tuned version of Qwen/Qwen3-0.6B-Base using filtered Direct Preference Optimization (fDPO) on the 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.