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appvoid

appvoid

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https://ko-fi.com/appvoid

AI & ML interests

Working on small sota models

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reacted to ucr-max's post with 👍 about 11 hours ago

Introducing Limen0.2B We are releasing Limen0.2B, a 222.5M-parameter base language model developed as a research platform for efficient pretraining and superword tokenization at smaller scales. Limen0.2B was trained from scratch on 50B tokens and uses a compact 16K BoundlessBPE vocabulary. The project explores whether SuperBPE-style tokenization can remain effective in a substantially smaller model and vocabulary regime than those examined in earlier large-scale experiments. The model also combines a deep-and-narrow transformer design with Exclusive Self-Attention, grouped-query attention, and tied embeddings. Its compact vocabulary reduces the embedding footprint and leaves a larger share of the parameter budget available to the transformer layers. Despite its relatively modest training budget, Limen0.2B achieves competitive results for its scale across the reported language understanding, commonsense reasoning, and grammatical evaluation tasks. Comparisons with other compact models are provided as context rather than strict rankings, as their training data, token budgets, architectures, and evaluation settings differ. The release includes the model weights, implementation, training configuration, checkpoint progression, and evaluation results, all under Apache 2.0. https://huggingface.co/UniversalComputingResearch/Limen0.2B Technical feedback, independent evaluations, and further experiments with the model and tokenizer are welcome.

repliedto Banaxi-Tech's post about 11 hours ago

We're excited to release BananaMindBench Leaderboard, our leaderboard for BananaMind Base Bench 1.1. It measures model performance on a variety of different tasks: Language Completion Common sense too World Knowledge Context Tracking Quantitative Logical Reasoning Code Completion Each has a different score and 1 overall score. Submit your own model: https://huggingface.co/spaces/BananaMind/BananaMindBench-Leaderboard/discussions Check it out: https://huggingface.co/spaces/BananaMind/BananaMindBench-Leaderboard

reacted to Banaxi-Tech's post with 🔥 about 11 hours ago

We're excited to release BananaMindBench Leaderboard, our leaderboard for BananaMind Base Bench 1.1. It measures model performance on a variety of different tasks: Language Completion Common sense too World Knowledge Context Tracking Quantitative Logical Reasoning Code Completion Each has a different score and 1 overall score. Submit your own model: https://huggingface.co/spaces/BananaMind/BananaMindBench-Leaderboard/discussions Check it out: https://huggingface.co/spaces/BananaMind/BananaMindBench-Leaderboard

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carbono

web app to showcase carbono's simplicity and accesibility