Model Details
Full Model IDdesert-ant-labs/title
Pipeline / Tasktext-generation
Librarymlx
Downloads (all-time)28.0K
Likes10
Last Modified10/19/2026
Author / Orgdesert-ant-labs
PrivateNo — public
⚡ Quick Usage (Python)
Using the 🤗 Transformers library. Install with pip install transformers
from transformers import pipeline
# Load the model
pipe = pipeline("text-generation", model="desert-ant-labs/title")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
mlxsafetensorsgranitemoehybridtexttext-generationsummarizationon-devicemultilingualconversationallicense:other6-bitregion:us
More Text Generation Models
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Access model files, inference API, and full documentation on Hugging Face.
Open on Hugging Face →Browse Model Files ↗← Browse All Models✍️ Task: Text Generation
This model is designed for the Text Generation task. Explore more models for this use case.
All Text Generation Models →📊 Popularity
⬇ Downloads28.0K
❤️ Community Likes10
🛠️ Requirements
- →Install: pip install mlx
- →Python 3.8+ recommended for Transformers.
- →GPU (CUDA) speeds up inference significantly.
- →Use model.half() for fp16 on limited VRAM.