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Author SHA1 Message Date
OrbisAI Security 9e5af8200d
Merge 8607169546 into 4a68da72d5 2026-06-01 09:39:23 +05:30
jingyaogong 4a68da72d5 [fix] lora dims 2026-05-31 13:38:51 +08:00
orbisai0security 8607169546 fix: V-001 security vulnerability
Automated security fix generated by Orbis Security AI
2026-05-05 07:51:07 +00:00
2 changed files with 13 additions and 4 deletions

View File

@ -20,8 +20,8 @@ class LoRA(nn.Module):
def apply_lora(model, rank=16): def apply_lora(model, rank=16):
for name, module in model.named_modules(): for name, module in model.named_modules():
if isinstance(module, nn.Linear) and module.weight.shape[0] == module.weight.shape[1]: if isinstance(module, nn.Linear) and module.in_features == module.out_features:
lora = LoRA(module.weight.shape[0], module.weight.shape[1], rank=rank).to(model.device) lora = LoRA(module.in_features, module.out_features, rank=rank).to(model.device)
setattr(module, "lora", lora) setattr(module, "lora", lora)
original_forward = module.forward original_forward = module.forward

View File

@ -13,8 +13,9 @@ import uvicorn
from threading import Thread from threading import Thread
from queue import Queue from queue import Queue
from fastapi import FastAPI, HTTPException from fastapi import FastAPI, HTTPException, Depends
from fastapi.responses import StreamingResponse from fastapi.responses import StreamingResponse
from fastapi.security import HTTPBearer, HTTPAuthorizationCredentials
from pydantic import BaseModel from pydantic import BaseModel
from transformers import AutoTokenizer, AutoModelForCausalLM, TextStreamer from transformers import AutoTokenizer, AutoModelForCausalLM, TextStreamer
from model.model_minimind import MiniMindConfig, MiniMindForCausalLM from model.model_minimind import MiniMindConfig, MiniMindForCausalLM
@ -24,6 +25,14 @@ warnings.filterwarnings('ignore')
app = FastAPI() app = FastAPI()
_security = HTTPBearer(auto_error=False)
def _verify_api_key(credentials: HTTPAuthorizationCredentials = Depends(_security)):
api_key = os.environ.get("MINIMIND_API_KEY")
if api_key and (credentials is None or credentials.credentials != api_key):
raise HTTPException(status_code=401, detail="Invalid or missing API key")
def init_model(args): def init_model(args):
tokenizer = AutoTokenizer.from_pretrained(args.load_from) tokenizer = AutoTokenizer.from_pretrained(args.load_from)
@ -169,7 +178,7 @@ def generate_stream_response(messages, temperature, top_p, max_tokens, tools=Non
@app.post("/v1/chat/completions") @app.post("/v1/chat/completions")
async def chat_completions(request: ChatRequest): async def chat_completions(request: ChatRequest, _: None = Depends(_verify_api_key)):
try: try:
if request.stream: if request.stream:
return StreamingResponse( return StreamingResponse(