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Rock Matrix open-sources EdgeRock-4B, a Qwen3.5-4B derivative with reduced memory footprint

Rock Matrix, in collaboration with HKUST and Carnegie Mellon University, has released EdgeRock-4B as an open-source model. This new model is based on Alibaba's Qwen3.5-4B and features sliding-window attention and memory anchors. These innovations significantly reduce the KV cache size to 72 MiB for a 256K context, a 99.1% decrease compared to Qwen's 8 GiB, while maintaining 96.3% of the base model's AIME score. AI

IMPACT This release offers a more memory-efficient LLM, potentially enabling wider deployment on resource-constrained devices.

RANK_REASON Open-source release of a model derivative with technical innovations. [lever_c_demoted from research: ic=1 ai=1.0]

Read on Mastodon — sigmoid.social →

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

Rock Matrix open-sources EdgeRock-4B, a Qwen3.5-4B derivative with reduced memory footprint

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8 / 100
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Open-source release of a model derivative with technical innovations. [lever_c_demoted from research: ic=1 ai=1.0]
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model release, infra
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High
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COVERAGE [1]

  1. Mastodon — sigmoid.social TIER_1 English(EN) · [email protected] ·

    Rock Matrix, with HKUST and Carnegie Mellon, has open-sourced EdgeRock-4B, built from Alibaba's Qwen3.5-4B. Sliding-window attention and memory anchors hold its

    Rock Matrix, with HKUST and Carnegie Mellon, has open-sourced EdgeRock-4B, built from Alibaba's Qwen3.5-4B. Sliding-window attention and memory anchors hold its KV cache at 72 MiB at 256K context, against 8 GiB for Qwen, a 99.1% cut, while it keeps 96.3% of the base model's AIME …