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Victor Nogueira

Felladrin
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https://felladrin.com

AI & ML interests

Models to run in the web browser

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reacted to raincandy-u's post with 🔥 about 2 hours ago
🤗 Just released Rain-100M, an experimental ~97M-parameter Qwen3-style language model trained from random initialization. Repo: https://huggingface.co/raincandy-u/Rain-100M Data: https://huggingface.co/datasets/HuggingFaceFW/fineweb-edu, ~3B tokens, English only Tokenizer: custom 16k BPE, context length 4096 Architecture: 12 Transformer layers, hidden size 768, 12 heads, MLP 2048, SiLU, bf16 Rain-100M is a raw base model (not instruction-tuned or safety-aligned), aimed at small-scale research, debugging training pipelines, and CPU/edge experiments. If you run evaluations, finetunes, or visualizations with it, I would be very interested in your results!
replied to raincandy-u's post about 2 hours ago
🤗 Just released Rain-100M, an experimental ~97M-parameter Qwen3-style language model trained from random initialization. Repo: https://huggingface.co/raincandy-u/Rain-100M Data: https://huggingface.co/datasets/HuggingFaceFW/fineweb-edu, ~3B tokens, English only Tokenizer: custom 16k BPE, context length 4096 Architecture: 12 Transformer layers, hidden size 768, 12 heads, MLP 2048, SiLU, bf16 Rain-100M is a raw base model (not instruction-tuned or safety-aligned), aimed at small-scale research, debugging training pipelines, and CPU/edge experiments. If you run evaluations, finetunes, or visualizations with it, I would be very interested in your results!
updated a collection about 2 hours ago
Foundation Text-Generation Models Below 360M Parameters
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