Banglish Companion 3B
Answers the way you typed
Most models answer romanized Bengali in English, or in Bengali script, or in neither. This one answers the way the message was written.
you aj mood bhalo na
model mama mood bhalo na hole patience rakh. Ar ki korle feel better hobe?
Full-precision weights, 6.9 GB. Runs on CPU or GPU, and nothing leaves your machine.
Ministral-3-3B, further trained on Banglish conversation. It follows banglish-companion, the 1.7B, and answers shorter and closer to the question.
Banglish e
ki eta? Banglish e kotha bola ekta model. 6.9 GB. Internet lagbe na, account lagbe na, taka lagbe na — tumi ja likhba tomar computer er baire jabe na.
ki lagbe? pip install transformers torch. Mac hole
banglish-companion-3b-mlx
ta niyo — choto ar druto.
kemon uttor dey? choto uttor, ar age jigges kore ki hoyeche. lomba lecture dey na. chhoto model — bhul tottho confident bhabe bole, tai fact er jonno eta use koro na.
Use it
pip install transformers torch huggingface_hub
hf download sifat-febo/banglish-companion-3b --local-dir banglish-3b
python banglish-3b/companion.py
That starts a chat in your terminal. It first answers aj mood bhalo na, the
line shown at the top of this page, then whatever you type. In your own code,
from companion import reply is the only import you need. It reads the
message first with the small ontor classifier that ships here. If someone
writes that they are in danger, it replies with fixed text and does not ask
the model. Otherwise it answers with the settings this model was tested with.
On a Mac, the same model runs at 3.6 GB as banglish-companion-3b-mlx.
Limits
- Banglish only. Not Bengali script, not English. There is no formal register — the language does not have one in writing.
- It states wrong things confidently. A 3B will invent a number or a name mid-sentence. Not a source of fact.
- Short exchanges. It loses the thread over long conversations, and it is not a therapist, doctor, or lawyer.
- Some answers are not the model's. If someone writes that they are in danger, the reply is fixed text from a file in this repo. The model is not asked.
AI Disclosure
The author designed the system, chose the base models, ran all training and measurement on the author's own machine, read the models' conversations, and chose what to publish and what to withhold. Claude Code (Anthropic) was used as a coding and writing tool under that direction.
License
Apache 2.0. Base model Ministral-3-3B-Base-2512 (Mistral AI, Apache 2.0).
Cite the technical report, which describes how the models were built, trained and measured: https://doi.org/10.5281/zenodo.22371896
@misc{febo2026banglishcompanion,
author = {Febo, Sifat},
title = {Banglish Companion: Small Chat Models for Romanized Bengali
— Technical Report},
year = {2026},
month = sep,
publisher = {Zenodo},
version = {1.0},
doi = {10.5281/zenodo.22371896},
url = {https://doi.org/10.5281/zenodo.22371896},
note = {Repository: sifat-febo/banglish-companion-3b}
}