This model has been optimized using DPO to align its responses with preferred outputs, focusing on improving reasoning (Chain-of-Thought) and structured response quality based on the provided preference dataset.

Training Configuration

Base model: Qwen/Qwen3-4B-Instruct-2507
Method: DPO (Direct Preference Optimization)
Epochs: 2
Learning rate: 1e-06
Beta: 0.1
Max sequence length: 4096
LoRA Config: r=8, alpha=16 (merged into base)

Usage

Since this is a merged model, you can use it directly with transformers.

python

from transformers import AutoModelForCausalLM, AutoTokenizer
import torch

model_id = "your_id/your-repo-name"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(
    model_id,
    torch_dtype=torch.float16,
    device_map="auto"
)


# chane parameter

  max_seq_length = 4096

## A100 cnnfig
# 1. Configure DPO Training Arguments
dpo_config = DPOConfig(
    learning_rate = 1e-6,
    per_device_train_batch_size = 4,
    gradient_accumulation_steps = 16,
    num_train_epochs = 1,
    optim = "adamw_8bit",
    weight_decay = 0.01,
    warmup_ratio = 0.1,
    fp16 = not is_bfloat16_supported(),
    bf16 = is_bfloat16_supported(),
    logging_steps = 1,
    output_dir = "dpo_checkpoints_001_A100-2",
    beta = 0.1,
    max_length = 4096,
    max_prompt_length = 2048,
    seed = 42,
    report_to = "none",
)


# Test inference
prompt = "Your question here"
inputs = tokenizer.apply_chat_template([{"role": "user", "content": prompt}], tokenize=True, add_generation_prompt=True, return_tensors="pt").to("cuda")
outputs = model.generate(**inputs, max_new_tokens=512)
print(tokenizer.decode(outputs[0]))

Sources & License (IMPORTANT)

Training Data: [u-10bei/dpo-dataset-qwen-cot]
License: MIT License. (As per dataset terms).
Compliance: Users must follow the original base model's license terms.

mutsumutsu/dpo-qwen-cot-merged-260208-tokenchg2024-001

＜【課題】qwen3-4b-dpo-qwen-cot-merged_260208_001 ＞

Training Objective

Training Configuration

Usage

Sources & License (IMPORTANT)

mutsumutsu/
dpo-qwen-cot-merged-260208-tokenchg2024-001