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DARE-TIES-Qwen2.5-Coder-Karasu-0.6 – AI Model by noirchan | AlphaNeural AI

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noirchan/
DARE-TIES-Qwen2.5-Coder-Karasu-0.6

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Qwen/Qwen2.5-Coder-7B-Instruct

lightblue/Karasu-DPO-7B

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DARE-TIES Merged Model (Ratio: 0.6)

This is a merged model created using the DARE_TIES method with mergekit.

Base Models

Qwen/Qwen2.5-Coder-7B-Instruct (Weight: 0.4)
lightblue/Karasu-DPO-7B (Weight: 0.6)

Merge Method

Method: DARE_TIES
Density: 0.5
Data Type: bfloat16

Purpose

This model aims to enhance Japanese code generation capabilities while maintaining English coding performance.

Usage

python

from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("noirchan/DARE-TIES-Qwen2.5-Coder-Karasu-0.6")
model = AutoModelForCausalLM.from_pretrained("noirchan/DARE-TIES-Qwen2.5-Coder-Karasu-0.6")

Evaluation

This model is part of a systematic evaluation of different merge ratios to find the optimal balance between Japanese language capabilities and code generation performance.