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Agens Volundr 32B v1 released with improved context handling and consumer GPU optimization

Blockway has released Agens Volundr 32B v1, an updated version of their large language model, addressing user feedback from a previous preview. Key improvements include a significant reduction in repetition loops on coding tasks and enhanced reasoning capabilities, allowing for longer context windows. The model now supports session continuation for faster follow-up turns and is optimized to run on consumer GPUs using the new Agens Engine, which is open-sourced under an MIT license. This engine enables the model to handle extended contexts, such as a 219K-token document, within a 16 GB memory budget, though with a slight trade-off in quality compared to higher-precision versions. AI

IMPACT Enables running large context models on consumer hardware, potentially lowering barriers for local AI development and experimentation.

RANK_REASON This is a release of a specific LLM version with performance improvements and a new inference engine, targeting local deployment.

Read on r/LocalLLaMA →

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

Agens Volundr 32B v1 released with improved context handling and consumer GPU optimization

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This is a release of a specific LLM version with performance improvements and a new inference engine, targeting local deployment.
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COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/ComfortableKindly507 ·

    Agens Volundr 32B v1: we fixed what you flagged in the Preview. 0/50 loops, session continuation, and an MIT engine that runs it with 262K context (measured to 239K) within a 16 GB budget

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1x8yc8d/agens_volundr_32b_v1_we_fixed_what_you_flagged_in/"> <img alt="Agens Volundr 32B v1: we fixed what you flagged in the Preview. 0/50 loops, session continuation, and an MIT engine that runs it with 262K…