Weekly archive

New local AI models, Oct 21–27, 2024

5 open models released Oct 21–27, 2024, with how each runs on five reference devices.

  1. Stable Diffusion 3.5 Large

    Stability AI · Image · 8.1B ·

    66Good quality (B) · 66 of 100: how capable the model is at FP16, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking.

    Runs on

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

  2. Mochi 1 Preview (10B)

    Genmo · Video · 10.0B ·

    62Good quality (B) · 62 of 100: how capable the model is at FP16, 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

  3. Stable Diffusion 3.5 Large Turbo

    Stability AI · Image · 8.1B ·

    62Good quality (B) · 62 of 100: how capable the model is at FP16, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.

    Runs on

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

  4. Aya Expanse 32B

    Cohere · LLM · 32B ·

    57Good quality (B) · 57 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking.

    Runs on

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

  5. Aya Expanse 8B

    Cohere · LLM · 8.0B ·

    40Fair quality (C) · 40 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 60/100 (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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