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Fredy Rivera

FredyRivera-dev
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https://fredy-rivera-dev-portafolio.vercel.app

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reacted to theirpost with 🚀 about 12 hours ago
We wrote a full technical guide on how to train a bilingual (ES/EN) LLM from scratch: TinyQwen. Covers: - Hybrid architecture based on Qwen3.5 - Pre-training with 15B tokens - Cost benchmark between H200 and B200 - Post-training with SFT + LoRA - Full code and data, open source With ~$11 of compute on an H200 we ran an initial training run, enough to validate the full architecture and pipeline. Blog post: https://aquiles-ai.vercel.app/blog/tinyqwen-from-scratch Technical feedback welcome, especially from anyone looking to replicate the pipeline with more compute.
posted an update about 12 hours ago
We wrote a full technical guide on how to train a bilingual (ES/EN) LLM from scratch: TinyQwen. Covers: - Hybrid architecture based on Qwen3.5 - Pre-training with 15B tokens - Cost benchmark between H200 and B200 - Post-training with SFT + LoRA - Full code and data, open source With ~$11 of compute on an H200 we ran an initial training run, enough to validate the full architecture and pipeline. Blog post: https://aquiles-ai.vercel.app/blog/tinyqwen-from-scratch Technical feedback welcome, especially from anyone looking to replicate the pipeline with more compute.
liked a model about 20 hours ago
moonshotai/Kimi-K3
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