Guchyos
/

gemma-2b-elyza-task

Text Generation

4-bit precision

Model card Files Files and versions Community

Edit model card

You need to agree to share your contact information to access this model

This repository is publicly accessible, but you have to accept the conditions to access its files and content.

Log in or Sign Up to review the conditions and access this model content.

Gemma 2 Quantized for ELYZA-tasks-100-TV

このモデルは、LLM講義2024最終課題のために作成された量子化版Gemma 2モデルです。

モデルの説明

ベースモデル: google/gemma-2b-it
適用した変更: 4bit量子化による最適化
用途: ELYZA-tasks-100-TVベンチマーク対応
メモリ使用量: 約8GB VRAM
推論時間: 全タスク1時間以内

環境要件

Python 3.8+
NVIDIA GPU (VRAM 24GB以上推奨)
CUDA 11.8+

必要なパッケージ

pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121
pip install transformers
pip install accelerate
pip install bitsandbytes

Downloads last month: 32

Safetensors

Model size

1.55B params

Tensor type

F32

·

FP16

·

U8

·

Inference Examples

Text Generation

Unable to determine this model's library. Check the docs .

Model tree for Guchyos/gemma-2b-elyza-task

Base model

google/gemma-2b-it

Quantized

(28)

this model

Dataset used to train Guchyos/gemma-2b-elyza-task

Space using Guchyos/gemma-2b-elyza-task 1