Any Pantheon (TV Show) fans here?
Would you like to chat with a UI? https://huggingface.co/spaces/shreyask/pantheon-ui Fine-tuned LiquidAI’s LFM2.5-1.2B-Thinking running 100% in-browser via WebGPU + HuggingFace Transformers.js. submitted by /u/immi_song [link] [comments]
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EconomyAI: Route to the Cheapest LLM That Works
EconomyAI: Route to the Cheapest LLM That Works Введение в EconomyAI Как разработчик, работающий с большими языковыми моделями (LLM), я часто сталкивался с ��роблемой балансирования производительности и стоимости. Моя система, чат-бот, используемый тысячами пользователей ежедневно, сильно зависит от LLM для понимания и ответа на пользовательский ввод. Однако высокие вычислительные требования этих моделей привели к значительным расходам, и мои ежемесячные счета за облачные услуги превышали 5 000 долларов. Чтобы снизить затраты без ущерба для производительности, я начал работать над EconomyAI, маршрутом к самой дешевой LLM, которая работает. Проблема с традиционными LLM Традиционные LLM, такие как те, которые предоставляются крупными облачными провайдерами, часто являются черными ящиками с о

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Photo by Igor Omilaev on Unsplash Sometimes the best new ideas are born when constraints are loudest. You may have felt it yourself. That tug-of-war between the enormous promise of AI and the hard limitations of small budgets, restricted infrastructure, or simply needing to ship something that works today, not tomorrow. Big tech companies throw most efficient inference system at their models; for the rest of us the startups and the nimble builders model distillation is the quiet engine that makes AI workable, affordable, and genuinely useful. What makes model distillation so remarkable is not just its technical mechanics. There is something fundamentally human about the way it lets us bridge ambition and reality. It is a mentor-student story embedded right in the code: a wise, sprawling “t
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Changes Gemma 4 support with full tool-calling in the API and UI. 🆕 ik_llama.cpp support : Add ik_llama.cpp as a new backend through new textgen-portable-ik portable builds and a new --ik flag for full installs. ik_llama.cpp is a fork by the author of the imatrix quants, including support for new quant types, significantly more accurate KV cache quantization (via Hadamard KV cache rotation, enabled by default), and optimizations for MoE models and CPU inference. API: Add echo + logprobs for /v1/completions . The completions endpoint now supports the echo and logprobs parameters, returning token-level log probabilities for both prompt and generated tokens. Token IDs are also included in the output via a new top_logprobs_ids field. Further optimize my custom gradio fork, saving up to 50 ms
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Gemma 4 is great at real-time Japanese - English translation for games
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