Weekly archive

New local AI models, Feb 19–25, 2024

5 open models released Feb 19–25, 2024, with how each runs on five reference devices.

  1. Prometheus 2 8x7B

    Prometheus Eval · Decision · 47B (13B active) ·

    74Great quality (A) · 74 of 100: how capable the model is at Q8_0, 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

  2. SDXL-Lightning (4-step)

    ByteDance · Image · 2.6B ·

    54Fair quality (C) · 54 of 100: how capable the model is at FP16, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking.

    Runs on

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

  3. StarCoder2 15B (base)

    BigCode · LLM · 16B ·

    31Basic quality (D) · 31 of 100: how capable the model is at Q5_K_M, 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. LLaVA 1.6 Mistral 7B

    LLaVA · LLM · 7.6B ·

    28Basic quality (D) · 28 of 100: how capable the model is at Q8_0, 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

  5. StarCoder2 7B

    BigCode · LLM · 7.2B ·

    24Basic quality (D) · 24 of 100: how capable the model is at Q8_0, 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

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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