Downloads · 30 days
19
26% of all-time downloads
jtatman/TinyMistral-248M-v2-4bit
TinyMistral-248M-v2-4bit is a text generation model from jtatman. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
A model to use with unsloth for running on cheap hardware, a la Kaggle and Colab free-tier.
Downloads · 30 days
19
26% of all-time downloads
All-time downloads
74
Public
Parameters
254M
225 MB on disk
Likes
0
Public
Click a slice to open those files.
.safetensors225 MB · 99%
How the weights are stored.
U8188M · 74%
From the Hugging Face model README
A model to use with unsloth for running on cheap hardware, a la Kaggle and Colab free-tier.
Unsloth has some great ideas about optimization and integration. Very easy to get started with and use on commodity hardware.
Locutusque and Felladrin in particular are building some wonderful and quite useful small models.
Unsloth has focused on tinyllama, thus this focus on a great alternative, the TinyMistral series.
Can be loaded through unsloth - rather than over-explaining, check out these resources:
You get the picture, small models make for better optimization, but this level of optimizing is needed for adoption, distillation, and reduced environmental impact.
This isn't a useful model on its own - Uses unsloth's FastLanguageModel model loader, which handles a whole bunch of behind the scenes organization and complexity.
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
Use with unsloth library only
Will not load on inference on demand or through native transformers - yet.