Weekly archive

New local AI models, Sep 30 – Oct 6, 2024

4 open models released Sep 30 – Oct 6, 2024, with how each runs on five reference devices.

  1. Mistral-NeMo-Minitron 8B Instruct

    NVIDIA · LLM · 8.4B ·

    42Fair quality (C) · 42 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking.

    Runs on

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

  2. Granite 3.0 8B Instruct

    IBM · LLM · 8.2B ·

    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

  3. Granite 3.0 2B Instruct

    IBM · LLM · 2.6B ·

    26Basic quality (D) · 26 of 100: how capable the model is at F16, whatever it runs on. Match score 53/100 (quality, fit, speed and memory use) sets the ranking.

    Runs on

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

  4. Granite 3.0 3B-A800M Instruct

    IBM · LLM · 3.4B (0.8B active) ·

    18Basic quality (D) · 18 of 100: how capable the model is at F16, whatever it runs on. Match score 50/100 (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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