Sheldon Mainye

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liked a model 4 days ago

meta-llama/Llama-3.1-8B-Instruct

Text Generation • 8B • Updated Sep 25, 2024 • 6.11M • • 7.98k

liked 2 datasets 4 days ago

vibrantlabsai/fiqa

Viewer • Updated Oct 15, 2025 • 64.3k • 2.54k • 25

takala/financial_phrasebank

Updated Dec 15, 2025 • 6.82k • 277

liked 2 models 4 days ago

bavest/fin-llama-33b-merged

Text Generation • Updated Nov 29, 2023 • 205 • 25

ProsusAI/finbert

Text Classification • Updated May 23, 2023 • 4.9M • • 1.26k

updated 4 models 15 days ago

smainye/whisper-large-v3-kenyan-english-nonstandard-v1

Automatic Speech Recognition • 2B • Updated 15 days ago • 12 • 1

smainye/whisper-small-kenyan-swahili-nonstandard

Automatic Speech Recognition • 0.2B • Updated 15 days ago • 3 • 2

smainye/whisper-small-kenyan-english-nonstandard-v2

Automatic Speech Recognition • 0.2B • Updated 15 days ago • 16

smainye/whisper-small-kenyan-english-nonstandard

Automatic Speech Recognition • 0.2B • Updated 15 days ago • 26 • 1

updated a dataset 15 days ago

smainye/mpesa-loan-repayment-profiles

Viewer • Updated 15 days ago • 4.98k • 25

updated a dataset 19 days ago

smainye/adaption-behavioral-finance-fintech

Viewer • Updated 19 days ago • 1.18k • 44

published a dataset 19 days ago

smainye/adaption-behavioral-finance-fintech

Viewer • Updated 19 days ago • 1.18k • 44

updated a dataset 19 days ago

smainye/dcp_loan_dataset

Viewer • Updated 19 days ago • 5k • 32

published a dataset 19 days ago

smainye/dcp_loan_dataset

Viewer • Updated 19 days ago • 5k • 32

upvoted an article 22 days ago

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Article

TranslatePsy-Nano: Compact Multilingual Machine Translation for Resource-Constrained Edge Deployment

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qvac

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26 days ago

• 2

liked 2 models 27 days ago

nlpaueb/legal-bert-base-uncased

Fill-Mask • Updated Apr 28, 2022 • 803k • • 320

allenai/scibert_scivocab_uncased

Updated Oct 3, 2022 • 198k • 177

reacted to Banaxi-Tech's post with 🔥 about 1 month ago

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Post

3797

We're announcing our BananaMind 2.1 model series!
The models will include:
- BananaMind 2.1 Nano: 10M parameters with 60B tokens.
- BananaMind 2.1 Lite: 25M parameters with 40B tokens.
- BananaMind 2.1 Flash: 50M parameters with 55B tokens.
- BananaMind 2.1 Pro: 135M-145M parameters (still deciding) with 100B tokens.
These model will use a multi tower architecture (like BananaMind/BananaMind-2.1-Unified) with some more architectural changes.

BananaMind 2.1 Pro will probrably use 2 no output towers, instead of one!

We're currently training some experimental models based on this architecture to see its scaling!

Follow us:

BananaMind
@Banaxi-Tech
@vovaRL
@DedeProGames

bananamind-research-community

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updated a collection 2 months ago

Non-standard Kenyan Swahili Speech to Text (STT) Models

Collection

This collection contains voice models trained on Kenyan non standard Swahili speech data. • 1 item • Updated Jul 18

updated a collection 3 months ago

Non-Standard Kenyan English Speech to Text (STT) Models

Collection

This collection contains voice models trained on Kenyan non standard English speech data. • 3 items • Updated Aug 21