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Kazenowoko
/
telos

Text Generation
MLX
Safetensors
PyTorch
English
code-autocomplete
discrete-diffusion
masked-diffusion
autoregressive
Model card Files Files and versions
xet
Community

Instructions to use Kazenowoko/telos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • MLX

    How to use Kazenowoko/telos with MLX:

    # Make sure mlx-lm is installed
    # pip install --upgrade mlx-lm
    # if on a CUDA device, also pip install mlx[cuda]
    
    # Generate text with mlx-lm
    from mlx_lm import load, generate
    
    model, tokenizer = load("Kazenowoko/telos")
    
    prompt = "Once upon a time in"
    text = generate(model, tokenizer, prompt=prompt, verbose=True)
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • LM Studio
  • MLX LM

    How to use Kazenowoko/telos with MLX LM:

    Generate or start a chat session
    # Install MLX LM
    uv tool install mlx-lm
    # Generate some text
    mlx_lm.generate --model "Kazenowoko/telos" --prompt "Once upon a time"
  • Atomic Chat
telos / checkpoints
97.9 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 112 commits
Kazenowoko's picture
Kazenowoko
add: 50M AR 2.5B-token checkpoints and config with seed 42
d728840 verified 20 days ago
  • ar
    add: 50M AR 2.5B-token checkpoints and config 22 days ago
  • corosred
    add: 50M AR 2.5B-token checkpoints and config with seed 42 20 days ago
  • masked
    Upload folder using huggingface_hub about 1 month ago
  • uniform
    Upload folder using huggingface_hub about 1 month ago