Weekly archive

New local AI models, Jul 13–19, 2026

7 open models released Jul 13–19, 2026, with how each runs on five reference devices.

  1. Inkling (975B-A41B)

    Thinking Machines Lab · LLM · 952B (41.0B active) ·

    65Good quality (B) · 65 of 100: how capable the model is at Q2_K, 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

  2. Fara 1.5 27B

    Microsoft · LLM · 27B ·

    83Great quality (A) · 83 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.

    Runs on

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

  3. Jina Reranker v3.5

    Jina AI · Decision · 600M ·

    86Excellent quality (A+) · 86 of 100: how capable the model is at F16, whatever it runs on. Match score 93/100 (quality, fit, speed and memory use) sets the ranking.

    Runs on

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

  4. Laguna S 2.1 (118B-A8B)

    Poolside · LLM · 118B (8.0B active) ·

    86Excellent quality (A+) · 86 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking.

    Runs on

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

  5. Shieldstral 1.0 3B

    Mistral AI · Decision · 3.9B ·

    86Excellent quality (A+) · 86 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

  6. Agents-A1 4B

    InternScience · LLM · 4.5B ·

    60Good quality (B) · 60 of 100: how capable the model is at F16, 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

  7. Fara 1.5 4B

    Microsoft · LLM · 4.5B ·

    58Good quality (B) · 58 of 100: how capable the model is at F16, 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

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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