gyung

qwen35-9b-ko-legal-rag-transition-lora-20260620-v3

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README

License: other

Scope

Artifact type: PEFT LoRA adapter
This is not a standalone legal-advice model.
Use it to retrieve, rank, or prepare evidence for a separate answer model.

Basic Use

Install:

bash
pip install -U "huggingface_hub[cli]" peft transformers

Download:

bash
hf download gyung/qwen35-9b-ko-legal-rag-transition-lora-20260620-v3 --local-dir qwen35-9b-ko-legal-rag-transition-lora-20260620-v3

For LoRA adapters, load with the matching base model:

python
from peft import PeftModel
from transformers import AutoModelForCausalLM, AutoTokenizer

base_id = "Qwen/Qwen3.5-9B"
adapter_id = "gyung/qwen35-9b-ko-legal-rag-transition-lora-20260620-v3"

tokenizer = AutoTokenizer.from_pretrained(base_id, trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained(
    base_id,
    device_map="auto",
    torch_dtype="auto",
    trust_remote_code=True,
)
model = PeftModel.from_pretrained(model, adapter_id)

For vLLM LoRA serving:

bash
python -m vllm.entrypoints.openai.api_server \
  --model Qwen/Qwen3.5-9B \
  --enable-lora \
  --lora-modules qwen35-9b-ko-legal-rag-transition-lora-20260620-v3=./qwen35-9b-ko-legal-rag-transition-lora-20260620-v3 \
  --served-model-name qwen35-9b-ko-legal-rag-transition-lora-20260620-v3 \
  --max-model-len 12288

Main code: gyung/ko-law-retriever
Large data/eval artifacts: gyung/ko-law-retriever-artifacts-20260622

Model provider