Weekly archive

New local AI models, Nov 17–23, 2025

7 open models released Nov 17–23, 2025, with how each runs on five reference devices.

  1. FLUX.2 [dev]

    Black Forest Labs · Image · 32.2B ·

    92Excellent quality (A+) · 92 of 100: how capable the model is at FP16, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.

    Runs on

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

  2. zerank-2

    ZeroEntropy · Decision · 4.0B ·

    88Excellent quality (A+) · 88 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 92/100 (quality, fit, speed and memory use) sets the ranking.

    Runs on

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

  3. HunyuanVideo 1.5 (8.3B)

    Tencent · Video · 8.3B ·

    84Great quality (A) · 84 of 100: how capable the model is at FP16, 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

  4. Hermes 4.3 36B

    Nous Research · LLM · 36B ·

    75Great quality (A) · 75 of 100: how capable the model is at Q4_K_M, 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

  5. Olmo 3 7B Think

    Ai2 · LLM · 7.3B ·

    54Fair quality (C) · 54 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking.

    Runs on

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

  6. Foundation-Sec 1.1 8B Instruct

    Cisco Foundation AI · LLM · 8.0B ·

    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

  7. Olmo 3 7B Instruct

    Ai2 · LLM · 7.3B ·

    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

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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