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jiwon9703/gemma-4-26B-A4B-ko-sft-v2.1
gemma-4-26B-A4B-ko-sft-v2.1 is a image-text-to-text model from jiwon9703. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
Gemma4-26B-A4B 한국어 SFT v2.1 — v2 데이터(6,750) + 표기 정정 + LoRA r=64 α=64 (v2 r=16 α=32 대비 capacity 4x).
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From the Hugging Face model README
Gemma4-26B-A4B 한국어 SFT v2.1 — v2 데이터(6,750) + 표기 정정 + LoRA r=64 α=64 (v2 r=16 α=32 대비 capacity 4x).
| 항목 | 내용 |
|---|---|
| Base Model | unsloth/gemma-4-26B-A4B-it |
| 학습 방법 | LoRA SFT (Unsloth + TRL) |
| 프레임워크 | transformers, peft |
| 라이센스 | Apache 2.0 |
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("jiwon9703/gemma-4-26B-A4B-ko-sft-v2.1")
tokenizer = AutoTokenizer.from_pretrained("jiwon9703/gemma-4-26B-A4B-ko-sft-v2.1")
vllm serve jiwon9703/gemma-4-26B-A4B-ko-sft-v2.1 --max-model-len 8192 --reasoning-parser gemma4