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🔄
Pebble 50M in training
77.9
TFLOPS
Ash
Hoglet-33
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Hoglet-33
AI & ML interests
Open source AI, datasets, parameter efficiency, SLMs, AI for the betterment of humanity. Contact at
[email protected]
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Pebble-25M and Pebble-25M-Chat are out now! We’re excited to release Pebble-25M and Pebble-25M-Chat! Both models use our 3:1 Mamba2/Transformer hybrid architecture and were pretrained on 25B tokens. Pebble-25M-Chat was then further fine-tuned on an additional 250M tokens from smol-smoltalk, following the same approach used for the Pebble-10M models. We hope you enjoy experimenting with them! Pebble-50M is coming in a few days. Models Pebble-25M: https://huggingface.co/basically-ai/Pebble-25M Pebble-25M-Chat: https://huggingface.co/basically-ai/Pebble-25M-Chat Pebble-10M GGUFs In case you missed it, our friend @ContextReq made GGUF versions of the Pebble-10M models: https://huggingface.co/ContextReq/Pebble-10M-GGUF https://huggingface.co/ContextReq/Pebble-10M-Chat-GGUF Follow us if you don’t want to miss future releases and updates! @Hoglet-33 https://huggingface.co/basically-ai https://huggingface.co/basically-experimental
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Hoglet-33
's datasets
21
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Hoglet-33/3.33BT-Pre-Training-Mix-Three-Of-Three
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Hoglet-33/3.33BT-Pre-Training-Mix-Two-Of-Three
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Hoglet-33/3.33BT-Pre-Training-Mix-One-Of-Three
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Hoglet-33/Code-1BT
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Hoglet-33/DCLM-2.5BT
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Hoglet-33/FineMath-4plus-1BT
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Hoglet-33/CosmopediaV2-2BT
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Hoglet-33/FineWeb-Edu-3.5BT
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Hoglet-33/MetaMathQA-Cleaned
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Hoglet-33/PYTHON-645M
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Hoglet-33/Distilled-Reasoning-PRO
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Hoglet-33/GermanQA-40k
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Hoglet-33/Aya-7k
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Hoglet-33/OmniCode-195k
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Hoglet-33/APIGen-50k
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Hoglet-33/Bigcode-Instruct-50k
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Hoglet-33/CodeAlpaca-20k
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Hoglet-33/Magicoder-75k
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75k
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Hoglet-33/MATH-800k
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Hoglet-33/MetaMathQA-300k
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Hoglet-33/NuminaMath-500k
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