mit-license
Unlimited OCR Tool
Baidu's 3-billion-parameter document parser transcribes dozens of pages in a single pass without its memory footprint growing, because its decoder holds a constant-size cache instead of one that expands with every token. MIT licensed, with vLLM, ModelScope and ms-swift support already wired in, plus a hosted demo you can try in a browser.
Ring-2.6-1T Tool
Ant Group's trillion-parameter mixture-of-experts reasoning model, activating roughly 63 billion parameters per token, with 128K context extendable to 256K. All checkpoints openly downloadable under the MIT license, with high and xhigh reasoning-effort settings that trade depth against speed and cost. Benchmark claims are vendor-supplied and measured against a previous generation of rivals.
Ornith 1.0 Tool
An MIT-licensed, Qwen 3.5-derived family published at 9B, 35B and 397B on Hugging Face. Worth pairing with the model's public discussion threads before deploying, where users have been diagnosing apparently missing multi-token-prediction tensors in the shipped checkpoints.
Ling-3.0 Tool
inclusionAI's hybrid-linear mixture-of-experts family under a plain MIT license, mixing three linear-attention blocks per full-attention block across 128 routed experts. The tiny variant holds 7.9B parameters and activates 1.3B per token; native BF16, FP8 and INT4 support is declared on the card.
GLM-5.3-Flash Tool
Z.ai's 320-billion-parameter multimodal model with 18 billion active per token and a one-million-token context, released under the MIT licence -- one of the most permissive terms any model this size has shipped under. The download is 328 GB of already fp8-quantized weights, and it runs locally through SGLang, vLLM or TokenSpeed.
FlashKDA Tool
Moonshot AI's MIT-licensed kernel implementation of Kimi Delta Attention, the linear-attention mechanism underneath Kimi K3, published ahead of the model weights themselves. Useful today for anyone building or serving bounded-state attention rather than a growing key-value cache.
DuckDB Tool
The in-process analytics database that a large share of data-science and AI-evaluation tooling runs on -- no server, just a library. Worth a mention today because AWS is acquiring DuckLabs while the project itself stays MIT-licensed under the nonprofit DuckDB Foundation, with more than a million downloads a day.
DeepSeek-V4-Flash Tool
MIT-licensed weights for DeepSeek's 284B-total / 13B-active mixture-of-experts model with a one-million-token context, with vLLM and SGLang serving examples on the model card. Real hardware bar: the reference recipe targets four B200 or B300 GPUs.
AuK-Flash Tool
The distilled sibling of AuK, generating in four steps instead of the full sampling schedule for markedly faster inference at the same 6.8 GB download size. Same MIT licence and the same instruction interface.
AuK Tool
Tencent's 1.5B open-weights speech model, MIT-licensed, that clones voices, edits recordings, cleans up audio and separates speakers through a single plain-language instruction interface. About 6.8 GB to download, with a four-step distilled variant for faster generation and a hosted demo to try first.