Weekly archive

New local AI models, Jul 29 – Aug 4, 2024

9 open models released Jul 29 – Aug 4, 2024, with how each runs on five reference devices.

  1. FLUX.1 [dev]

    Black Forest Labs · Image · 11.9B ·

    80Great quality (A) · 80 of 100: how capable the model is at FP16, 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. FLUX.1 [schnell]

    Black Forest Labs · Image · 11.9B ·

    70Great quality (A) · 70 of 100: how capable the model is at FP16, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking.

    Runs on

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

  3. Hermes 3 (Llama 3.1 70B)

    Nous Research · LLM · 71B ·

    64Good quality (B) · 64 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking.

    Runs on

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

  4. InternLM2.5 20B Chat

    Shanghai AI Lab · LLM · 20B ·

    47Fair quality (C) · 47 of 100: how capable the model is at Q4_K_M, 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

  5. MiniCPM-V 2.6 8B

    OpenBMB · LLM · 8.1B ·

    48Fair quality (C) · 48 of 100: how capable the model is at Q8_0, 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

  6. Dolphin 2.9.4 Llama 3.1 8B

    Cognitive Computations · LLM · 8.0B ·

    44Fair quality (C) · 44 of 100: how capable the model is at Q8_0, 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

  7. EXAONE 3.0 7.8B Instruct

    LG AI Research · LLM · 7.8B ·

    38Basic quality (D) · 38 of 100: how capable the model is at Q8_0, 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

  8. Falcon Mamba 7B Instruct

    TII · LLM · 7.3B ·

    30Basic quality (D) · 30 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

  9. InternLM2.5 1.8B Chat

    Shanghai AI Lab · LLM · 1.9B ·

    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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