Reubencf (Reuben fernandes)

posted an update about 20 hours ago

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Millions speak Konkani. The internet barely knows it.

Today's major LLMs struggle with regional languages. They can't read, write or even recognize Konkani. So I built one that can.

Here is a working demo of the Konkani LLM I've been training. 👇

https://youtu.be/8K04ylbXh6k

reacted to Crownelius's post with 🔥 20 days ago

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Howdy,
CompactAI-O is launching a tiny Model Golf, and the winner walks away with $50 in RunPod credits. Monthly. Every month. Show up, build, somebody wins.

What it is

Build the best language model you can under 100 million parameters, with at least a 1028-token context window. That's it. Any architecture, any tokenizer, any training scheme you can dream up at 3am. The only catch is it's gotta be open source (MIT, GPL, Apache, AGPL) take your pick.

It scratches the same itch as a Kaggle comp without the dataset\leaderboard nonsense. No fixed benchmark to game. No llama.cpp compatibility hoops. If you wanna train a 50M-param MoE with five experts and a tokenizer built on cookbooks, you can do that. Nothing stopping you.

The rules are listed in the discord and on the organization page if you're interested.

Why $50????

It's symbolic. It ain't gonna make anyone rich. But it's enough to cover a weekend of GPU time, enough to keep enthusiasts coming back, and not so much that it pulls in people who are just there for the money. Enthusiasts build interesting things. Interesting things move the field forward. A little incentive. I'd do it for $50 lol.

How to join

First round opens soon. Landing page is here:

→ https://huggingface.co/spaces/CompactAI-O/Tiny-model-golf

For questions or to swap ideas, the Discord's open:

→ https://discord.gg/y2jTct6Cxv

Excited to see what yall come up with. ♥

— Shane

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replied to their post 21 days ago

thanks @Rex1246

replied to their post 21 days ago

thank you very much

replied to their post 22 days ago

thanks a lot @bhagathgoud

reacted to their post with 🔥 22 days ago

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4688

I have improved my Portfolio please do check it out
Reubencf/Portfolio

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reacted to their post with 🤗 23 days ago

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4688

I have improved my Portfolio please do check it out
Reubencf/Portfolio

6 replies

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posted an update 23 days ago

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4688

I have improved my Portfolio please do check it out
Reubencf/Portfolio

6 replies

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reacted to cesear64's post with 🧠👀🔥 26 days ago

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Just published: how we built production Sango (Central African Republic) translation without fine-tuning, parallel corpus, or training compute.

The method — vocabulary-augmented prompting with a 581-entry native-speaker-verified lexicon — generalizes to any of the ~2,000 African languages at the same data-poverty level. Recipe, dataset, and code template all included.

📄 Blog: https://huggingface.co/blog/MEYNG/sangoai
📦 Dataset: MEYNG/sango-vocabulary

Would especially value feedback from anyone working on other low-resource African languages — Ewondo, Lingala, Wolof next on our roadmap.

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reacted to Aurelien-Morgan's post with 🔥 about 1 month ago

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@retrain-pipelines v0.2.0 is out !
I'm at Station F at My booth with GOSIM Paris 2026 today & tomorrow.
Come meet me for a live in-person demo and a chat !

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reacted to Shrijanagain's post with ❤️🔥 2 months ago

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SOME NEW HINDI + ENGLISH DATASETS

🔗
- sKT-Ai-Labs/HIN
- sKT-Ai-Labs/SKT-MIX
- sKT-Ai-Labs/ST-H

Download and Use And Train Models

You Can Alsoo Use ST-x-LIGHTING Module For Faster Training

pip install ST-x-LIGHT-V11

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reacted to their post with 🤗🔥 3 months ago

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2817

🚀 I am thrilled to announce the release of a new Konkani LLM!

We've seen some fantastic results for both translation and transliteration tasks, and I'm excited to share this progress with the community.

📖 Read the launch article and see the results: https://huggingface.co/blog/Reubencf/konkani-llm
🤖 Explore the model and collection:

konkani

I would love to hear your feedback or see what you build with it! #Konkani #LLM #NLP #HuggingFace #IndicNLP #Konkani

posted an update 3 months ago

Post

2817

🚀 I am thrilled to announce the release of a new Konkani LLM!

We've seen some fantastic results for both translation and transliteration tasks, and I'm excited to share this progress with the community.

📖 Read the launch article and see the results: https://huggingface.co/blog/Reubencf/konkani-llm
🤖 Explore the model and collection:

konkani

I would love to hear your feedback or see what you build with it! #Konkani #LLM #NLP #HuggingFace #IndicNLP #Konkani

reacted to BibbyResearch's post with 👀 4 months ago

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3091

Announcing📢 on HuggingFace 🤗
An autonomous agent for drug discovery research. Like Claude Code, but for biology.
BibbyResearch/Open-CellType-GPT
Quick install

curl -fsSL https://raw.githubusercontent.com/celltype/cli/main/install.sh | bash

Detects Python 3.10+, installs via pipx or pip, and launches an interactive setup wizard.

Ask questions in natural language. celltype-cli plans the analysis, selects the right tools, executes them, validates results, and returns data-backed conclusions.

BibbyResearch/Open-CellType-GPT

reacted to kostakoff's post with 🔥❤️ 4 months ago

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I found it very funny that the Hugging Face profile has a specific section where we can share our hardware.

It really brings back memories of the good old days when we used to flex our custom PC specs on enthusiast forums 20 years ago! That inspired me to fill out my own profile and share it here.

And this is my first set of GPUs that I am using to learn MLOps:
- RTX 3090 – the best one; unfortunately it doesn't support the latest FP8 and FP4, but it’s still very powerful.
- Tesla V100 – performance is almost like the RTX 3090, just much older.
- Tesla P100 – old, and doesn't have tensor cores, but still can handle small models.
- Radeon MI50 – old, similar to the P100, but uses ROCm instead of CUDA, which is actually a pretty good experience to setup.
- GTX 1080 Ti – mostly useless, no FP16 support.
- GTX 1660 – first generation of the Turing architecture, but mostly useless.

llmlaba

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