Weekly archive

New local AI models, Mar 31 – Apr 6, 2025

5 open models released Mar 31 – Apr 6, 2025, with how each runs on five reference devices.

  1. HiDream-I1 Full

    HiDream.ai · Image · 17.1B ·

    84Great quality (A) · 84 of 100: how capable the model is at FP16, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking.

    Runs on

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

  2. HiDream-I1 Dev

    HiDream.ai · Image · 17.1B ·

    80Great quality (A) · 80 of 100: how capable the model is at FP16, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking.

    Runs on

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

  3. HiDream-I1 Fast

    HiDream.ai · Image · 17.1B ·

    74Great quality (A) · 74 of 100: how capable the model is at FP8, 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

  4. Llama 4 Maverick (17B x 128E)

    Meta · LLM · 402B (17.0B active) ·

    69Good quality (B) · 69 of 100: how capable the model is at Q5_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

  5. Llama 4 Scout 17B-16E

    Meta · LLM · 109B (17.0B active) ·

    69Good quality (B) · 69 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 77/100 (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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