QwQ AI – Aggregator of free LLMs answer generator
I've built an aggregator for free Large Language Models that provides answer generation services. The project aims to make powerful AI accessible to everyone as I believe free LLMs may become a significant trend. Currently supported models: Qwen Series - Qwen 32B: Alibaba's 32B parameter model for Chinese/English content - Qwen 2.5 7B Instruct: Lightweight, responsive daily assistant DeepSeek Series - DeepSeek V3 0324: Specialized in long-text and domain knowledge - DeepSeek R1: Focused on mathematical and logical reasoning Google Series - Gemini 2.5 Pro: Google's latest multimodal…
What it does
In the maker’s words, at launch
I've built an aggregator for free Large Language Models that provides answer generation services. The project aims to make powerful AI accessible to everyone as I believe free LLMs may become a significant trend. Currently supported models: Qwen Series - Qwen 32B: Alibaba's 32B parameter model for Chinese/English content - Qwen 2.5 7B Instruct: Lightweight, responsive daily assistant DeepSeek Series - DeepSeek V3 0324: Specialized in long-text and domain knowledge - DeepSeek R1: Focused on mathematical and logical reasoning Google Series - Gemini 2.5 Pro: Google's latest multimodal model with extended context - Gemini 2.0 Flash Thinking: Shows reasoning process step-by-step - Gemini 2.0 Flash: Speed-optimized for quick responses - Gemma 3.27B IT: Open-source balance of performance and efficiency Mistral Series - Mistral Nemo: Flagship model with broad knowledge coverage - Mistral Small 3.1 24B Instruct: 24B parameter model for high-quality responses Meta Series - Llama 4 Maverick: Latest generation with strong creative capabilities - Llama 4 Scout: Optimized for factual accuracy and reliability This tool lets you compare outputs across different models and leverage their unique strengths without subscription costs.
Does the same job
all alternatives →
- RARun an 80B Qwen in 4.3 GB of RAM on a Mac, and a 35B on an iPhoneAug 2026 · github.com · ▲312
More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com
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…
AI · 27d ago · cactuscompute.com
Launched alongside, April 2025
the whole month →- IB
Hi everyone, I built PyXL — a hardware processor that executes a custom assembly generated from Python programs, without using a traditional interpreter or virtual machine. It compiles Python -> CPython Bytecode -> Instruction set designed for direct hardware execution. I’m sharing an early benchmark: a GPIO test where PyXL achieves a 480ns round-trip toggle — compared to 14-25 micro seconds on a MicroPython Pyboard - even though PyXL runs at a lower clock (100MHz vs. 168MHz). The design is stack-based, fully pipelined, and preserves Python's dynamic typing without static type restrictions.…
Dev tools · 2025 · runpyxl.com
- UC
Life & fun · 2025 · filiph.github.io
- IB
https://the-pocket.github.io/Tutorial-Codebase-Knowledge/
AI · 2025 · github.com
