Weekly archive

New local AI models, Apr 1–7, 2024

4 open models released Apr 1–7, 2024, with how each runs on five reference devices.

  1. DeBERTa v3 Large Zero-shot v2.0

    Moritz Laurer · Decision · 440M ·

    72Great quality (A) · 72 of 100: how capable the model is at F16, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking.

    Runs on

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

  2. Command R+ 104B (04-2024)

    Cohere · LLM · 104B ·

    53Fair quality (C) · 53 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking.

    Runs on

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

  3. Qwen1.5 32B Chat

    Alibaba · LLM · 33B ·

    41Fair quality (C) · 41 of 100: how capable the model is at Q4_K_M, 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

  4. StableLM 2 12B Chat

    Stability AI · LLM · 12B ·

    27Basic quality (D) · 27 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 55/100 (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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