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Thinking about the next gen Pebble
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 ash@basicallyai.co
Recent Activity
replied
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post
1 day ago
Today, we planned to release Pebble-50M and Pebble-50M-Chat to the world. Unfortunately, due to a few issues, that didn't go quite as planned. What happened: - Some data and benchmark results were lost or corrupted - The models performed worse on benchmarks than our other Pebble models Despite that, you can still find both models here: Pebble-50M-beta: https://huggingface.co/basically-experimental/Pebble-50M-beta Pebble-50M-Chat-beta: https://huggingface.co/basically-experimental/Pebble-50M-Chat-beta There are still some interesting improvements in these models: - Compatible with non-CUDA devices - Vocabulary increased to 16K tokens - Context length increased to 16K tokens For now, there won't be any more Pebble releases for a while. We're going to take some time to experiment with other approaches and hopefully make the next generation a monumental leap over this one. Follow for updates: @Hoglet-33 https://huggingface.co/basically-ai https://huggingface.co/basically-experimental
updated
a Space
1 day ago
basically-experimental/README
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to
their
post
with 😔
1 day ago
Today, we planned to release Pebble-50M and Pebble-50M-Chat to the world. Unfortunately, due to a few issues, that didn't go quite as planned. What happened: - Some data and benchmark results were lost or corrupted - The models performed worse on benchmarks than our other Pebble models Despite that, you can still find both models here: Pebble-50M-beta: https://huggingface.co/basically-experimental/Pebble-50M-beta Pebble-50M-Chat-beta: https://huggingface.co/basically-experimental/Pebble-50M-Chat-beta There are still some interesting improvements in these models: - Compatible with non-CUDA devices - Vocabulary increased to 16K tokens - Context length increased to 16K tokens For now, there won't be any more Pebble releases for a while. We're going to take some time to experiment with other approaches and hopefully make the next generation a monumental leap over this one. Follow for updates: @Hoglet-33 https://huggingface.co/basically-ai https://huggingface.co/basically-experimental
View all activity
Organizations
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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Hoglet-33/MATH-800k
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Hoglet-33/MetaMathQA-300k
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Hoglet-33/NuminaMath-500k
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