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Developer embeds LLM within LLM, running Karpathy's stories260k on Qwen 3.5-4B

By PulseAugur Editorial · [1 sources] ·

A developer has created a novel system where a large language model (LLM) runs within another LLM. This new system, named QwenPU, embeds an NPU (Neural Processing Unit) compiled directly into the weights of the Qwen 3.5-4B model. This allows Karpathy's stories260k LLM to execute entirely within the Qwen model's memory, without external tools, achieving significant speed optimizations. AI

IMPACT Demonstrates a novel approach to model integration and execution, potentially impacting how LLMs are deployed and optimized.

RANK_REASON Developer's novel research project demonstrating a new method for running LLMs. [lever_c_demoted from research: ic=1 ai=1.0]

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Developer embeds LLM within LLM, running Karpathy's stories260k on Qwen 3.5-4B

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Developer's novel research project demonstrating a new method for running LLMs. [lever_c_demoted from research: ic=1 ai=1.0]
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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model release, infra
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High
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3 days old
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COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/LatentSpacer ·

    An LLM inside an LLM - Same guy who put a RISK-V CPU inside Qwen has now made Karpathy's stories260k run on an NPU compiled inside Qwen 3.5-4B's weights

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1xkiuut/an_llm_inside_an_llm_same_guy_who_put_a_riskv_cpu/"> <img alt="An LLM inside an LLM - Same guy who put a RISK-V CPU inside Qwen has now made Karpathy's stories260k run on an NPU compiled inside Qwen 3.…

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