Downloads · 30 days
0
telos
Kazenowoko/telos
telos is a text generation model from Kazenowoko. Use it when you need the model to write or continue text. It is set up for mlx. The card lists the license as apache-2.0.
This repository contains tokenizer models, unified benchmark configurations, and pretrained 12.5M and 25M checkpoints for télos: 1. Autoregressive Baseline (AR) (Causal next-token prediction) 2. Masked Discrete Diffus…
Access
Public
Updated Sep 21, 2026
Repo size
210 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors55.6 GB · 45%
At a glance
- Task
- Text Generation
- Library
- mlx
- License
- apache-2.0
- Access
- Public
- Created
- Aug 22, 2026
- Updated
- Sep 21, 2026
- SHA
- d728840a
Try a prompt
Model card
From the Hugging Face model README
τέλος (télos) — Unified 3-Paradigm Scaling Research
This repository contains tokenizer models, unified benchmark configurations, and pretrained 12.5M and 25M checkpoints for télos:
- Autoregressive Baseline (AR) (Causal next-token prediction)
- Masked Discrete Diffusion (MDLM) (Absorbing $[\text{MASK}]$ diffusion with $1/t$ reweighted ELBO)
- Uniform Noise Diffusion (UNDLM) (Reversible discrete vocabulary corruption)
Repository Structure
configs/: Tokenizer files (tokenizer_mac.json) and unified hyperparameter YAML configs (configs/unified/)checkpoints/: Model weights (model.safetensors) organized by paradigm (ar,masked,uniform) and scale (12m,25m)
Usage in Google Colab / PyTorch / MLX
from huggingface_hub import snapshot_download
snapshot_download(repo_id="Kazenowoko/telos", local_dir="./")
- Task
- Text Generation
- Library
- mlx
- License
- apache-2.0
- Languages
- en
- Created
- Aug 22, 2026
- Updated
- Sep 21, 2026