Weekly archive

New local AI models, Nov 18–24, 2024

5 open models released Nov 18–24, 2024, with how each runs on five reference devices.

  1. FLUX.1 Fill [dev]

    Black Forest Labs · Image · 11.9B ·

    76Great quality (A) · 76 of 100: how capable the model is at FP16, 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

  2. Tülu 3 70B

    Ai2 · LLM · 71B ·

    68Good quality (B) · 68 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking.

    Runs on

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

  3. InternVL2.5 8B

    Shanghai AI Lab · LLM · 8.1B ·

    50Fair quality (C) · 50 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

  4. Tülu 3 8B

    Ai2 · LLM · 8.0B ·

    46Fair quality (C) · 46 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 63/100 (quality, fit, speed and memory use) sets the ranking.

    Runs on

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

  5. SmolVLM 2.2B Instruct

    Hugging Face · LLM · 2.3B ·

    22Basic quality (D) · 22 of 100: how capable the model is at F16, whatever it runs on. Match score 52/100 (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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