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

Quazim0t0
/
Wheeler-63M

Text Generation
PyTorch
English
custom-architecture
wheeler-dewitt
quazimoto
spikewhale
research
experimental
Model card Files Files and versions
xet
Community

You need to agree to share your contact information to access this model

This repository is publicly accessible, but you have to accept the conditions to access its files and content.

Log in or Sign Up to review the conditions and access this model content.

Gated model
You can list files but not access them

Preview of files found in this repository
  • family.cpython-312.pyc
    37.8 kB
    WheelerV2: new architecture code + step-336000 checkpoint + blended SFT; generate.py nrng defaults; card about 5 hours ago
  • fractal.cpython-312.pyc
    7.28 kB
    WheelerV2: new architecture code + step-336000 checkpoint + blended SFT; generate.py nrng defaults; card about 5 hours ago
  • instrument.cpython-312.pyc
    6.21 kB
    WheelerV2: new architecture code + step-336000 checkpoint + blended SFT; generate.py nrng defaults; card about 5 hours ago
  • model.cpython-312.pyc
    66.6 kB
    WheelerV2: new architecture code + step-336000 checkpoint + blended SFT; generate.py nrng defaults; card about 5 hours ago
  • spike_tokenizer.cpython-312.pyc
    7.09 kB
    WheelerV2: new architecture code + step-336000 checkpoint + blended SFT; generate.py nrng defaults; card about 5 hours ago
  • wheeler.cpython-312.pyc
    9.63 kB
    WheelerV2: new architecture code + step-336000 checkpoint + blended SFT; generate.py nrng defaults; card about 5 hours ago