CyberStrike-OffSec-35B

HuggingFace에서 직접 또는 로컬 파일로 실행.

./llama-cli -hf oyildirim/CyberStrike-OffSec-35B-GGUF \
  -hff CyberStrike-OffSec-35B-Q5_K_M.gguf \
  -p "Explain SSRF exploitation in cloud environments" \
  -n 512 --temp 0.7

OpenAI 호환 API를 사용한 프로덕션급 서빙.

vllm serve oyildirim/CyberStrike-OffSec-35B \
  --dtype bfloat16 \
  --max-model-len 4096 \
  --trust-remote-code

HuggingFace Transformers 라이브러리와 함께 사용.

from transformers import AutoTokenizer, AutoModelForCausalLM
import torch

model = AutoModelForCausalLM.from_pretrained(
    "oyildirim/CyberStrike-OffSec-35B",
    torch_dtype=torch.bfloat16,
    device_map="auto",
    trust_remote_code=True,
)
tokenizer = AutoTokenizer.from_pretrained(
    "oyildirim/CyberStrike-OffSec-35B",
    trust_remote_code=True,
)