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AI · alternatives · 2026

24 alternatives to Qelm

More Meaning per Qubit, Run Quantum‑Inspired NLP on CPU/GPU.

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Prices are shown for the 1 we have checked on their own sites, 1 of them free or with a free tier.

  1. 1
    Qelm▲10

    Quantum-driven language models for next-gen AI

    2025 · qelm.org · its alternatives →

  2. 2

    Built a ~9M param LLM from scratch to understand how they actually work. Vanilla transformer, 60K synthetic conversations, ~130 lines of PyTorch. Trains in 5 min on a free Colab T4. The fish thinks the meaning of life is food. Fork it and swap the personality for your own character.

    Apr 2026 · github.com · its alternatives →

  3. 3

    Build your own high performance LLM inference engine in C++ and CUDA - a smaller version of vLLM - jmaczan/tiny-vllm

    May 2026 · github.com · its alternatives →

  4. 4

    How small can a language model be while still doing something useful? I wanted to find out, and had some spare time over the holidays. Z80-μLM is a character-level language model with 2-bit quantized weights ({-2,-1,0,+1}) that runs on a Z80 with 64KB RAM. The entire thing: inference, weights, chat UI, it all fits in a 40KB .COM file that you can run in a CP/M emulator and hopefully even real hardware! It won't write your emails, but it can be trained to play a stripped down version of 20 Questions, and is sometimes able to maintain the illusion of having simple but terse conversations…

    Dec 2025 · github.com · its alternatives →

  5. 5

    A few days ago I found myself trying out GLM 5.2 and was really positively impressed. The capabilities and security I was getting from this LLM are similar to those I've gotten from models like Claude or GPT, and this really surprised me. But then I thought, "I wonder how it would work on a normal computer like mine," and above all, "I wonder if it would work without going into OOM on a computer like mine." So I started working with the help of agents to test this possibility. I started converting the model to int4, understanding MTP usage, and if possible implementing DSA for long context.…

    Jul 2026 · github.com · its alternatives →

  6. 6WM

    Try it out! https://glhf.chat/ Hey HN! We’ve been working for the past few months on a website to let you easily run (almost) any open-source LLM on autoscaling GPU clusters. It’s free for now while we figure out how to price it, but we expect to be cheaper than most GPU offerings since we can run the models multi-tenant. Unlike Together AI, Fireworks, etc, we’ll run any model that the open-source vLLM project supports: we don’t have a hardcoded list. If you want a specific model or finetune, you don’t have to ask us for it: you can just paste the Hugging Face link in and…

    2024 · glhf.chat · its alternatives →

  7. 7

    0.8B-9B native multimodal w/ more intelligence, less compute

    Mar 2026 · huggingface.co · its alternatives →

  8. 8
    Qwen3.5▲288

    The 397B native multimodal agent with 17B active params

    Feb 2026 · qwen.ai · its alternatives →

  9. 9
    QwQ-32B▲197

    Matching R1 reasoning yet 20x smaller

    2025 · huggingface.co · its alternatives →

  10. 10AQ
  11. 11

    The video demo runs a 7b Model on a normal gaming GPU. I think it already works quite well (accounting for the limited hardware power). :)

    2024 · github.com · its alternatives →

  12. 12

    New LLM compression algorithm by Google

    Mar 2026 · research.google · its alternatives →

  13. 13
    Qwen3▲149

    Think Deeper or Act Faster

    2025 · github.com · its alternatives →

  14. 14AT

    A 3.16M-parameter INT4 transformer running entirely in the on-chip memory of a Xilinx Kria KV260. Zero DRAM in the token loop, 59,965 tok/s on the fabric, bit-exact. Chat with it live.

    Aug 2026 · mikeayles.com · its alternatives →

  15. 15

    Find the local LLM that actually runs and performs best on your hardware. Ranked by real, recency-aware benchmarks, not parameter count. One command, run it instantly. - Andyyyy64/whichllm

    May 2026 · github.com · its alternatives →

  16. 16

    Hi HN, We just opened public access to Qwen3‑Coder‑480B‑A35B‑Instruct via a REST/SDK API. Why it might be interesting: - Fully open-source (Apache‑2.0): https://github.com/QwenLM/Qwen3-Coder - 480B params (35B active MoE), long context up to 1M tokens with YaRN - Matches Claude Sonnet/GPT‑4o on SWE-Bench Verified (81.6%) - Free tier: 100K tokens/month

    2023 · netmind.ai · its alternatives →

  17. 17
    Groq®▲237

    Hyperfast LLM running on custom built GPUs

    2024 · groq.com · its alternatives →

  18. 18TL
  19. 19

    Contribute to Mega4alik/ollm development by creating an account on GitHub.

    2025 · github.com · its alternatives →

  20. 20

    The sweet-spot open dense model for coding agents

    Apr 2026 · qwen.ai · its alternatives →

  21. 21

    Fine-tune LLMs from one YAML. Layer streaming trains an 8B model on a 4 GB laptop GPU. - MakazhanAlpamys/Soup

    Aug 2026 · github.com · its alternatives →

  22. 22

    Find your best LLM for a local inference

    2023 · its alternatives →

  23. 23

    Large language model series developed by Alibaba Cloud

    2025 · qwenlm.github.io · its alternatives →

  24. 24

    A simple calculator that estimates how many concurrent requests your GPU can handle for a given LLM, with shareable results.

    2025 · selfhostllm.org · 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 →