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Life & fun · alternatives · 2026

MiniCPM-2B is a lightweight language model that delivers performance comparable to Mistral-7B while running on mobile processors like the Snapdragon 835. Designed for developers and researchers working with edge… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. MiniCPM-2B Achieving Mistral-7B Performance on Snapdragon 835 SoC launched in 2024; newer entries below may have overtaken it.

  1. 1

    Small enough for the device, built to act

    Sep 2026 · huggingface.co · its alternatives →

  2. 2

    The on-device model for your personal data

    2025 · huggingface.co · its alternatives →

  3. 3

    Ultra-efficient on-device AI, now even faster

    2025 · github.com · its alternatives →

  4. 4

    Ultra-efficient 1.3B vision-language model for mobile

    May 2026 · github.com · its alternatives →

  5. 5

    GPT-4o level vision model on the phone

    2025 · huggingface.co · its alternatives →

  6. 6

    A new SOTA for compact open models on the edge

    May 2026 · huggingface.co · its alternatives →

  7. 7

    High performance in a 24b open-source model

    2025 · mistral.ai · its alternatives →

  8. 8

    The best 7B model to date, Apache 2.0

    2023 · its alternatives →

  9. 9

    First TTS model to support all 22 Indic languages + English

    2024 · its alternatives →

  10. 10

    Continual learning model trained from scratch on 8GB VRAM laptop with batch-1 stream of data. - volotat/mini-AGI

    Sep 2026 · github.com · its alternatives →

  11. 11

    Kitten TTS is an open-source series of tiny and expressive text-to-speech models for on-device applications. We are excited to launch a preview of our smallest model, which is less than 25 MB. This model has 15M parameters. This release supports English text-to-speech applications in eight voices: four male and four female. The model is quantized to int8 + fp16, and it uses onnx for runtime. The model is designed to run literally anywhere eg. raspberry pi, low-end smartphones, wearables, browsers etc. No GPU required! We're releasing this to give early users a sense of the latency and voices…

    2025 · github.com · its alternatives →

  12. 12

    Using only a Raspberry Pi and an $11 video capture dongle, you can create your own KVM over IP device, allowing you to send keyboard input to a remote computer and capture its display.

    2020 · mtlynch.io · its alternatives →

  13. 13

    Turing Pi is a compact ARM cluster that provides a secure and scalable compute in the edge. It is designed to make web-scale edge computing easier for developers.

    2020 · turingpi.com · its alternatives →

  14. 14

    Hi HN! I'm just sharing a project I've been working on during the LLM Efficiency Challenge - you can now finetune Llama with QLoRA 5x faster than Huggingface's original implementation on your own local GPU. Some highlights: 1. Manual autograd engine - hand derived backprop steps. 2. QLoRA / LoRA 80% faster, 50% less memory. 3. All kernels written in OpenAI's Triton language. 4. 0% loss in accuracy - no approximation methods - all exact. 5. No change of hardware necessary. Supports NVIDIA GPUs since 2018+. CUDA 7.5+. 6. Flash Attention support via Xformers. 7. Supports 4bit and 16bit…

    2023 · github.com · its alternatives →

  15. 15
    VoxCPM2▲110

    Open-source 48kHz TTS with voice design and cloning

    Apr 2026 · github.com · its alternatives →

  16. 16

    Branchable computing by using a portable, lightweight, self-contained virtual machine - smol-machines/smolvm

    Apr 2026 · github.com · its alternatives →

  17. 17

    3nd generation with faster processor, wireless and Bluetooth

    2016 · raspberrypi.com · its alternatives →

  18. 18

    Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…

    Aug 2026 · cactuscompute.com · its alternatives →

  19. 19

    2nd generation with faster processor and more memory

    2015 · raspberrypi.org · its alternatives →

  20. 20

    Cheaper GPT-4 rival that supports 32K-token context windows

    2024 · mistral.ai · its alternatives →

  21. 21
    Unsloth▲241

    Finetune LLMs 2x faster, 80% less memory

    2025 · unsloth.ai · its alternatives →

  22. 22

    I've been playing around with https://github.com/zphang/minimal-llama/ and https://github.com/tloen/alpaca-lora/blob/main/finetune.py, and wanted to create a simple UI where you can just paste text, tweak the parameters, and finetune the model quickly using a modern GPU. To prepare the data, simply separate your text with two blank lines. There's an inference tab, so you can test how the tuned model behaves. This is my first foray into the world of LLM finetuning, Python, Torch, Transformers, LoRA, PEFT, and Gradio. Enjoy!

    2023 · github.com · its alternatives →

  23. 23
    SmolVLM2▲206

    Smallest Video LM Ever from HuggingFace

    2025 · huggingface.co · its alternatives →

  24. 24
    PaLM 2▲247

    Google's next generation large language model

    2023 · blog.google · its alternatives →

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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →