Weekly archive

New local AI models, Jun 9–15, 2025

3 open models released Jun 9–15, 2025, with how each runs on five reference devices.

  1. MiniMax-M1 80K

    MiniMax · LLM · 456B (45.9B active) ·

    78Great quality (A) · 78 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking.

    Runs on

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

  2. Dolphin Mistral 24B Venice Edition

    Cognitive Computations · LLM · 24B ·

    58Good quality (B) · 58 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking.

    Runs on

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

  3. Gemma 3n E2B

    Google · LLM · 5.4B ·

    36Basic quality (D) · 36 of 100: how capable the model is at F16, whatever it runs on. Match score 58/100 (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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