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🔄 In a Training Loop

Ash W.

Hoglet-33
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AI & ML interests

Open source AI, datasets, parameter efficiency, SLMs, AI for the betterment of humanity. Contact at [email protected]

Recent Activity

reacted to theirpost with 🔥 about 1 hour ago
We are announcing the first generation of the Pebble model family! These are the models we are releasing: - Pebble 10M - Pebble 25M - Pebble 50M Each model will use a Mamba-Transformer 3:1 hybrid architecture and will be pretrained on 25 billion tokens before IFT and SFT. Depending on development time and resources, we may also release: - Pebble 5M - Pebble 75M - Pebble 1M (possibly) We hope you're excited and enjoy the models! Follow for more: @Hoglet-33 https://huggingface.co/basically-ai
posted an update about 1 hour ago
We are announcing the first generation of the Pebble model family! These are the models we are releasing: - Pebble 10M - Pebble 25M - Pebble 50M Each model will use a Mamba-Transformer 3:1 hybrid architecture and will be pretrained on 25 billion tokens before IFT and SFT. Depending on development time and resources, we may also release: - Pebble 5M - Pebble 75M - Pebble 1M (possibly) We hope you're excited and enjoy the models! Follow for more: @Hoglet-33 https://huggingface.co/basically-ai
reacted to Banaxi-Tech's post with 😎 2 days ago
We're releasing Overfitter 1.0. Its a completly useless overfitted model trained on 202 epochs of SWE Bench Verified, SWE Bench Pro, Terminal Bench 2.1, DeepSWE. It gets 100% on SWE Bench Verified, 98.6% on SWE bench Pro, 100% on Terminal Bench 2.1 and 100% on DeepSWE! https://huggingface.co/BananaMind/Overfitter-1.0
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Organizations

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