Weekly archive

New local AI models, Jun 17–23, 2024

4 open models released Jun 17–23, 2024, with how each runs on five reference devices.

  1. Jina Reranker v2 Base Multilingual

    Jina AI · Decision · 280M ·

    70Great quality (A) · 70 of 100: how capable the model is at F16, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking.

    Runs on

    Memory, every quant and how to run it Check your own device

  2. LLM4Decompile 22B V2

    LLM4Binary · LLM · 22B ·

    55Good quality (B) · 55 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking.

    Runs on

    Memory, every quant and how to run it Check your own device

  3. LLM4Decompile 6.7B V2

    LLM4Binary · LLM · 6.7B ·

    32Basic quality (D) · 32 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 56/100 (quality, fit, speed and memory use) sets the ranking.

    Runs on

    Memory, every quant and how to run it Check your own device

  4. LLM4Decompile 1.3B V2

    LLM4Binary · LLM · 1.4B ·

    12Basic quality (D) · 12 of 100: how capable the model is at F16, whatever it runs on. Match score 47/100 (quality, fit, speed and memory use) sets the ranking.

    Runs on

    Memory, every quant and how to run it Check your own device

Estimates come from published hardware specs and our open formulas, not from running the model on your machine. Real speed varies with runtime, drivers and settings. Numbers marked “Measured” come from a linked benchmark.

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