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qwen-d1-cluster – AI Model by ksamiein | AlphaNeural AI

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ksamiein/
qwen-d1-cluster

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unsloth/Qwen2.5-7B-Instruct

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Qwen 2.5 7B GRPO Training Checkpoint

This is a training checkpoint from GRPO (Generative Reinforcement Policy Optimization) training.

Training Status

Checkpoint saved at: 2025-09-25T10:12:40.062136
Training step: 764/2250
Progress: 34%

Configuration

Base model: Qwen2.5-7B-Instruct
Training method: GRPO with LoRA
LoRA rank: 64
Max sequence length: 4096
Training data: 9000 math problems from math_ood
Categories: Number Theory, Logic, Combinatorics, Arithmetic, Algebra

Usage

python

from transformers import AutoModelForCausalLM, AutoTokenizer
from peft import PeftModel

# Load base model
base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-7B-Instruct")
tokenizer = AutoTokenizer.from_pretrained("unsloth/Qwen2.5-7B-Instruct")

# Load LoRA weights
model = PeftModel.from_pretrained(base_model, "ksamiein/qwen-d1-cluster")

Note

This is an intermediate checkpoint. Training may not be complete.