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Boning Cui

Bc-AI
ml-intern-explorers
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AI & ML interests

He/Him. I like LLM's and VLM's. I work with my other friends to make stuff. We are in year 7 and we are enthusiastic about AI. We are based in Australia 🇦🇺

Recent Activity

reacted to Banaxi-Tech's post with 🤯 about 3 hours ago
We're delaying BananaMind 2.1! When BananaMind 2.1 Lite was almost done, we benchmarked it and the results we're worse than BananaMind 2 Mini. We're going to spend alot more time in research on tiny models and then scaling up our techniques to the actual BananaMind 2.1 models! We're also announcing these new models: BananaMind 2.1 Coder: A 149M instruction tuned coder model trained on 75B tokens + 10B tokens of stack-v3-train. BananaMind 2.1 Pico: A 1M parameter model trained on 22B tokens of data. We also may release BananaMind 2.1 Large with around 100M parameters depending on how much compute we have. Please give us a follow! https://huggingface.co/BananaMind @Banaxi-Tech --- @vovaRL @DedeProGames
reacted to Banaxi-Tech's post with 🤝 about 3 hours ago
We're delaying BananaMind 2.1! When BananaMind 2.1 Lite was almost done, we benchmarked it and the results we're worse than BananaMind 2 Mini. We're going to spend alot more time in research on tiny models and then scaling up our techniques to the actual BananaMind 2.1 models! We're also announcing these new models: BananaMind 2.1 Coder: A 149M instruction tuned coder model trained on 75B tokens + 10B tokens of stack-v3-train. BananaMind 2.1 Pico: A 1M parameter model trained on 22B tokens of data. We also may release BananaMind 2.1 Large with around 100M parameters depending on how much compute we have. Please give us a follow! https://huggingface.co/BananaMind @Banaxi-Tech --- @vovaRL @DedeProGames
reacted to Banaxi-Tech's post with 👍 about 3 hours ago
We're delaying BananaMind 2.1! When BananaMind 2.1 Lite was almost done, we benchmarked it and the results we're worse than BananaMind 2 Mini. We're going to spend alot more time in research on tiny models and then scaling up our techniques to the actual BananaMind 2.1 models! We're also announcing these new models: BananaMind 2.1 Coder: A 149M instruction tuned coder model trained on 75B tokens + 10B tokens of stack-v3-train. BananaMind 2.1 Pico: A 1M parameter model trained on 22B tokens of data. We also may release BananaMind 2.1 Large with around 100M parameters depending on how much compute we have. Please give us a follow! https://huggingface.co/BananaMind @Banaxi-Tech --- @vovaRL @DedeProGames
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