Weekly archive

New local AI models, Feb 5–11, 2024

4 open models released Feb 5–11, 2024, with how each runs on five reference devices.

  1. DreamShaper XL v2 Turbo

    Lykon · Image · 2.6B ·

    58Good quality (B) · 58 of 100: how capable the model is at FP16, 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

  2. Stable Cascade

    Stability AI · Image · 5.2B ·

    50Fair quality (C) · 50 of 100: how capable the model is at FP8, whatever it runs on. Match score 59/100 (quality, fit, speed and memory use) sets the ranking.

    Runs on

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

  3. SQLCoder 7B v2

    Defog · LLM · 6.7B ·

    30Basic quality (D) · 30 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. Gemma 2B IT

    Google · LLM · 2.5B ·

    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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