Weekly archive

New local AI models, May 13–19, 2024

5 open models released May 13–19, 2024, with how each runs on five reference devices.

  1. Aya 23 35B

    Cohere · LLM · 35B ·

    47Fair quality (C) · 47 of 100: how capable the model is at Q4_K_M, 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. DeepSeek V2 Lite Chat

    DeepSeek · LLM · 16B (2.4B active) ·

    40Fair quality (C) · 40 of 100: how capable the model is at F16, 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

  3. CogVLM2 Llama 3 Chat 19B

    Zhipu AI · LLM · 20B ·

    36Basic quality (D) · 36 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. Aya 23 8B

    Cohere · LLM · 8.0B ·

    34Basic quality (D) · 34 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 57/100 (quality, fit, speed and memory use) sets the ranking.

    Runs on

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

  5. Phi-3 Vision 128K Instruct

    Microsoft · LLM · 4.2B ·

    34Basic quality (D) · 34 of 100: how capable the model is at F16, whatever it runs on. Match score 57/100 (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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