Dominick Wirzba

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dominick-wirzba-a46898115

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reacted to danielhanchen's post with 🔥 6 days ago

We collaborated with Hugging Face to enable you to train MoE models 12× faster with 35% less VRAM via our new Triton kernels (no accuracy loss). 🤗 Train gpt-oss locally on 12.8GB VRAM with our free notebooks: https://unsloth.ai/docs/new/faster-moe

reacted to sergiopaniego's post with ❤️ about 2 months ago

This super detailed tutorial by @Paulescu is pure gold 🪙 "Fine-tuning a Small Language Model for browser control with GRPO and OpenEnv" LFM2-350M (@LiquidAI) + BrowserGym (OpenEnv) + GRPO (TRL) for learning browser control 🤝 https://paulabartabajo.substack.com/p/fine-tuning-lfm2-350m-for-browser

liked a model about 2 months ago

google/functiongemma-270m-it

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reacted to danielhanchen's post with 🔥 6 days ago

Post

5062

We collaborated with Hugging Face to enable you to train MoE models 12× faster with 35% less VRAM via our new Triton kernels (no accuracy loss). 🤗

Train gpt-oss locally on 12.8GB VRAM with our free notebooks: https://unsloth.ai/docs/new/faster-moe

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reacted to sergiopaniego's post with ❤️ about 2 months ago

Post

2327

This super detailed tutorial by @Paulescu is pure gold 🪙 "Fine-tuning a Small Language Model for browser control with GRPO and OpenEnv"

LFM2-350M ( @LiquidAI ) + BrowserGym (OpenEnv) + GRPO (TRL) for learning browser control 🤝

https://paulabartabajo.substack.com/p/fine-tuning-lfm2-350m-for-browser