🤔 RNN

Daniel B. PRO

FlameF0X

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https://flamef0x.github.io

FlameF0X

AI & ML interests

Pre-training text generator. (Brother, im 18) Please don't try to contact me.

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repliedto their post about 2 hours ago

Personally, I don't think bot accounts on Hugging Face are a good thing, as we don't know how many accounts are run by automated systems versus how many actual users there are. Dead Internet theory is already a thing.

reacted to TobiasLogic's post with 🔥 about 8 hours ago

We’ve been cooking something new at Bench Labs. Introducing Cagliostro-v3, our new 146M parameter language model trained completely from scratch. The run isn’t even finished yet. At the current checkpoint: • 146M parameters • 72.7B / 75B tokens trained • 26.27 Open SLM Index • 43.80 ArithMark-3 • Trained on a single RTX 5090 • ~90K to 103K tokens/sec during training • ~9 days for the full run • Apache 2.0 For some context, SmolLM2-135M scores 27.13 on the same Index after being trained on roughly 2 trillion tokens. Cagliostro-v3 is currently at 26.27 with only ~72.7B. That’s around 27x fewer training tokens. The model also currently Hold the number 3rd spot for ArithMark-3, scoring 43.80 This wasn’t achieved by just throwing more tokens at the model. A huge part of v3 has been figuring out architecture, data mixture, and training dynamics at this scale. The model uses a custom 30-layer decoder architecture with grouped-query attention and cross-head subspace attenuation, SwiGLU, RMSNorm, RoPE, tied embeddings, and a warmup-stable-decay training schedule. During cooldown we also substantially shifted the data mixture toward higher-quality synthetic textbook and mathematics data, with the mathematics share increasing from 10% to 28%. And everything is open. The repository contains the training history with checkpoints pushed roughly every 30 minutes, so you can inspect how the model evolved throughout training rather than only seeing the final weights. This is still a pre-final checkpoint. We have roughly 2.3B tokens left and the learning-rate cooldown is still running. So 26.27 isn’t the final number. Really excited to see where the last part of the run lands. Cagliostro-v3: https://huggingface.co/bench-labs/cagliostro-v3 Built by Bench Labs. Open SLM Leaderboard: https://huggingface.co/spaces/AxiomicLabs/Open_SLM_Leaderboard

liked a model about 9 hours ago

XiaomiMiMo/MiMo-V2.6-Distill-Qwen-9B

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Hello HuggingFace! (UPDATE)

I tested the current architect of FWKV/Myosotis-1-base (that beinng FWKV) @ different sized and sequence lengths among RWKV and Transformer architecture. I did not include Mamba since that would require a costume kernel.

Note: the evaluation might not be accurate.
CSV avalible @ FlameF0X/evals

FlameF0X/cpu-lm-benchmark