Converts text into expressive conversational speech across 100+ languages with zero-shot voice cloning and inline control tokens for emotion, style, prosody, pauses, and sound effects. Released under a research/non-commercial license; commercial use requires separate licensing.
[next-mdx-remote-client] error compiling MDX: Unexpected character `|` (U+007C) before name, expected a character that can start a name, such as a letter, `$`, or `_` More information: https://mdxjs.com/docs/troubleshooting-mdx
Learns a joint image–text embedding via contrastive pretraining to enable zero-shot image classification. Uses a ViT‑B/32 image encoder and transformer text encoder; intended primarily for research into robustness and generalization, not untested deployment.
A TURBO multi-stage fine-tune of Qwen3.8‑27B that shortens internal “thinking” token blocks and raises ARC benchmarks (8‑bit ARC‑C ≈735, ARC‑E ≈882). It ships GGUF quants (regular and MTP, Neo‑Imatrix), vision support and 256k context for local multimodal inference on consumer GPUs.
Pretrained multilingual speech encoder for ASR and related speech tasks (300M parameters), trained with wav2vec2-style self-supervision on ~500k hours across 1,400+ languages. Designed for 16 kHz audio and typically fine-tuned for downstream ASR/translation/classification.
