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ik_llama.cpp fork updated with MoE optimizations, seeks feedback

By PulseAugur Editorial · [1 sources] ·

A developer has released an updated fork of the ik_llama.cpp project, which is based on llama.cpp. This update focuses on Mixture-of-Experts (MoE) optimizations and aims to provide performance feedback. The developer reports speeds of approximately 45-48 tokens/s on short prompts and 37 tokens/s with a 28K context on an RTX 2060 with 6GB VRAM, with prefill speeds around 430-700 tokens/s. The project is available on GitHub, and the developer is seeking community feedback before considering merging changes. AI

IMPACT This update may offer performance improvements for users running local LLMs on consumer hardware.

RANK_REASON This is an update to a specific fork of an open-source project, not a new model release or significant industry event.

Read on r/LocalLLaMA →

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

ik_llama.cpp fork updated with MoE optimizations, seeks feedback

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4 / 100
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Tool
This is an update to a specific fork of an open-source project, not a new model release or significant industry event.
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Breaking (< 6h)
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COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/IceFog72 ·

    Just update of ik_llama.cpp fork and seek of feedback

    <!-- SC_OFF --><div class="md"><p>Continuation of <a href="https://www.reddit.com/r/LocalLLaMA/comments/1wynomx/k_llamacpp_moe_optimizations_expert_residency/">https://www.reddit.com/r/LocalLLaMA/comments/1wynomx/k_llamacpp_moe_optimizations_expert_residency/</a></p> <p>This time…

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