Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Hardware
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

Spaces:
bibibi12345
/
llada-image-base
Running on Zero

App Files Files Community
Fetching metadata from the HF Docker repository...
llada-image-base
135 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 17 commits
bibibi12345's picture
bibibi12345
revert to bf16 original + drop nvidia-modelopt (xlarge 96GB holds 49GB bf16 natively, no quant layer needed)
4ee3e63 about 2 months ago
  • repo
    revert vendored pipeline hacks: original self.transformer.device is correct for full-resident bf16 on xlarge 96GB (offload-era patches caused this mess) about 2 months ago
  • .gitattributes
    1.52 kB
    init: LLaDA-Image Base (50 steps) on ZeroGPU, src vendored (binary assets dropped) about 2 months ago
  • .gitignore
    32 Bytes
    init: LLaDA-Image Base (50 steps) on ZeroGPU, src vendored (binary assets dropped) about 2 months ago
  • README.md
    194 Bytes
    init: LLaDA-Image Base (50 steps) on ZeroGPU, src vendored (binary assets dropped) about 2 months ago
  • app.py
    3.41 kB
    fix: remove cpu offload entirely - xlarge 96GB holds all bf16 weights (49.2G) resident; cuda generator; offload was causing scheduler.step device mismatch about 2 months ago
  • requirements.txt
    105 Bytes
    revert to bf16 original + drop nvidia-modelopt (xlarge 96GB holds 49GB bf16 natively, no quant layer needed) about 2 months ago