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M2.1: Multilingual and Multi-Task Coding with Strong Generalization
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John Locke
johnlockejrr
AI & ML interests
NLP, OCR, AI
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M2.1: Multilingual and Multi-Task Coding with Strong Generalization
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2025.1 - DeepSeek entered the scene, backed by High Flyer Quant
2026.1 - IQuest enters the game, backed by Uniquant Quant ๐ and launching IQuest-Coder on huggingface
https://huggingface.co/collections/IQuestLab/iquest-coder
โจ 40B models: Instruct / Thinking / Loop
โจ Loop = MoE-level performance with only ~5% extra training cost
โจ Native 128K context
2026.1 - IQuest enters the game, backed by Uniquant Quant ๐ and launching IQuest-Coder on huggingface
https://huggingface.co/collections/IQuestLab/iquest-coder
โจ 40B models: Instruct / Thinking / Loop
โจ Loop = MoE-level performance with only ~5% extra training cost
โจ Native 128K context
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I have update my https://huggingface.co/collections/MohamedRashad/arabic-speech-datasets
with new datasets, making the full audio data more than 3000 hours of good arabic speech.
Feel Free to use it in your new innovations, And happy new year!
with new datasets, making the full audio data more than 3000 hours of good arabic speech.
Feel Free to use it in your new innovations, And happy new year!
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New in llama.cpp: Model Management
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Finetune `nvidia/nemotron-ocr-v1` recognition model
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#7 opened 15 days ago
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Thank you
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ronantakizawa/github-top-developers
#github #dataset
ronantakizawa/github-top-developers
#github #dataset
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Efficient MultiModal Data Pipeline
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NVIDIA releases Nemotron 3 Nano, a new 30B hybrid reasoning model! ๐ฅ
Has 1M context window & best in class performance for SWE-Bench, reasoning & chat. Run the MoE model locally with 24GB RAM.
GGUF: unsloth/Nemotron-3-Nano-30B-A3B-GGUF
๐ Step-by-step Guide: https://docs.unsloth.ai/models/nemotron-3
Has 1M context window & best in class performance for SWE-Bench, reasoning & chat. Run the MoE model locally with 24GB RAM.
GGUF: unsloth/Nemotron-3-Nano-30B-A3B-GGUF
๐ Step-by-step Guide: https://docs.unsloth.ai/models/nemotron-3
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