Banglish Companion 3B — MLX

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?

3.6 GB, runs on a Mac. 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, Mac er jonno. 3.6 GB. Internet lagbe na, account lagbe na, taka lagbe na — tumi ja likhba tomar computer er baire jabe na.

ki lagbe? pip install mlx-lm. Apple silicon Mac lagbe.

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 mlx-lm huggingface_hub
hf download sifat-febo/banglish-companion-3b-mlx --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.

Apple silicon only. For Intel Macs and Linux, the same model in full precision is at banglish-companion-3b.

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-mlx}
}