Text generation models and tools

Hemmingway-1 is a 27-billion-parameter language model (built on Qwen3.5) fine-tuned specifically for the everyday writing people actually do — a text to a landlord, a work email, an awkward note to a colleague — rather than the longer, hedged answers general chat models tend to give.

Give a model up to a million tokens of text and images in one go, such as a long agent session or a large pile of input, and get text back.

Use its Python encoder to format text and image chats, then run the model and get written replies.

Audio8 ASR Infinite is a speech-to-text model built for real-time, unlimited-length transcription rather than processing a finished audio file after the fact.

Chat with a large language model on your own computer or phone, even when it has little memory to spare.

Sort a document into fixed answers, such as a priority level or a yes-or-no flag, and get back valid JSON in one quick step on an Apple Silicon Mac.

Paste an AI-written email, essay or report and get a rewrite that reads more naturally, offline; for people writing in English or Chinese.

Run an AI that thinks step by step and calls tools, on a laptop or your own server.

Chat with a small text model that can call tools and give structured answers, for developers building local agents or specialized apps.

Run an open model that writes code and works through multi-step office tasks using tools.

A small language model — 2.5 billion parameters in a standard Llama-style architecture — built specifically for running on a device rather than in a data centre, with a 131,072-token context that is unusual at this size.

Run a 27-billion-parameter reasoning model from a roughly 6 GB file on a laptop or a single GPU.

The Apple Silicon build of a heavily compressed 27-billion-parameter model, storing each weight as one of three values — minus one, zero or plus one — in an 8.6 GB download that includes a vision component.

Let an AI model investigate code, fix bugs, add features and write tests, for developers who host their own coding agents.

Extract and update conversation facts for memory frameworks such as Mem0 or MemOS.

Run a small model on your own server that calls tools, writes code and follows instructions inside agent setups.

Run a compact language model on your own device for coding, tool-using agents and long inputs; for developers building on-device AI apps.

Give one model text, images, video or audio, with up to a million tokens of context such as a whole code repository or a long tool log, and get text back for coding and agent work.

MiMo-V2.6-Pro-RL is Xiaomi's flagship model in the MiMo-V2.6 family, reading and generating text, images, video and audio in one model with a 1-million-token context for handling large codebases or long multi-session agent work.

Run a language model that plans several steps, calls tools and works through long coding or research tasks, using a context of 256,000 tokens.