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cooler8/yejin-korean-3b-v1-dpo-gguf overview

yejin korean 3b v1 dpo gguf yejin korean 3b v1은 8x NVIDIA H200 환경에서 한국어 고품질 코퍼스로 From Scratch 사전학습한 한국어 파운데이션 모델입니다. 모델 스펙 아키텍처 : Llama 3.2 3B 규격 hidden=3072, …

ggufkoreancausal-lmllamayejin8xH200kolicense:apache-2.0endpoints_compatibleregion:us

Runs locally from ~1.64 GB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).

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yejin-korean-3b-v1-dpo-f16.ggufGGUFF165.42 GBDownload
yejin-korean-3b-v1-dpo-q4_k_m.ggufGGUFQ4_K_M1.64 GBDownload

Model Details

Model IDcooler8/yejin-korean-3b-v1-dpo-gguf
Authorcooler8
Pipeline
Licenseapache-2.0
Base model
Last modified2026-09-02T00:00:52.000Z

Model README

---

language:

  • ko

tags:

  • korean
  • causal-lm
  • llama
  • yejin
  • gguf
  • 8xH200

license: apache-2.0

---

yejin-korean-3b-v1-dpo-gguf

> yejin-korean-3b-v1은 8x NVIDIA H200 환경에서 한국어 고품질 코퍼스로 From-Scratch 사전학습한 한국어 파운데이션 모델입니다.

모델 스펙

  • 아키텍처: Llama 3.2 3B 규격 (hidden=3072, layers=28, heads=24, kv_heads=8, GQA 3:1)
  • 토크나이저: EleutherAI/polyglot-ko-1.3b (30,003)
  • 학습: Pre-training → SFT → gguf
  • 컨텍스트: 4,096 토큰

사용 예시

from transformers import pipeline

gen = pipeline("text-generation", model="cooler8/yejin-korean-3b-v1-dpo-gguf", torch_dtype="bfloat16", device_map="auto")
print(gen("한국의 수도는", max_new_tokens=100)[0]['generated_text'])

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