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Spark-X2.6-1.7B: a 1.8 GB free chat model we ran with no GPU

  • Run it yourself
  • Models & tools

Spark-X2.6-1.7B from SparkLLM/XHToken is an on-device chat model with about 1.7 billion parameters, free under Apache 2.0, with controllable thinking (none / low / high). On Ollama the q4_k_m tag is a 1.8 GB download. Our test on a CPU-only box with 8 cores and no GPU, using --think=low: it correctly said 91 is not prime (7 × 13) and named Canberra as Australia's capital, at about 25–27 tokens/s using about 1.9 GB of RAM; numbers measured on our test box, not typical performance.

Try it

ollama run SparkLLM/Spark-X2.6-1.7B:q4_k_m

Install Ollama from ollama.com first (v0.34.1 or later per the maker). The q4_k_m tag is a 1.8 GB download. Optional: add --think=low --verbose. We ran it on our CPU-only test box (8 cores, no GPU); speed and memory there are not typical performance.

Open story page: Spark-X2.6-1.7B: a 1.8 GB free chat model we ran with no GPU

Earlier stories

November 2026

  1. · Recap · 6 stories

    This week's free AI tools: six you can run yourself

    1. Groot-19B
    2. Local Code
    3. Bonsai 2 2B
    4. Kisoku 1.6B
    5. MiniCPM5-1B
    6. LFM3-VL-2B
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  2. LFM3-VL-2B: a 2B vision model that read our receipt with no GPU

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  3. MiniCPM5-1B: a 688 MB free model we ran with no GPU

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  4. Kisoku 1.6B, trained from scratch by one person, runs on our CPU-only box from a 1.7 GB download

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  5. Bonsai 2 2B: a 911 MB Ollama download we ran on a CPU, no GPU

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  6. Local Code is a free, open-source Mac AI agent that costs $0 per token on device; the smallest model needs a 16 GB Mac

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  7. Groot-19B is a free Apache 2.0 model its makers say runs on a 16 GB GPU; we ran it with no GPU at all

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  8. Survival LLM is a free, open-source app that runs an AI over 1.5M offline articles with no internet

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October 2026

  1. Liquid AI's LFM3-1.7B is an open-weight agent model it says fits in about 1 GB

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  2. Baidu open-sources Unlimited OCR 2, a 3B model it says read 3,600+ pages in one go

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Browse all 45 stories →

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