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[next-mdx-remote-client] error compiling MDX: Could not parse expression with acorn More information: https://mdxjs.com/docs/troubleshooting-mdx
Compresses a 27B-class multimodal model into end-to-end ternary weights to run 27B reasoning on-device: 5.9–8.6 GB deployed footprint, 262K-token context, ~98.2% of FP16 benchmark performance; ships MLX and GGUF packs and runs on Apple MLX and CUDA.
[next-mdx-remote-client] error compiling MDX: Could not parse expression with acorn More information: https://mdxjs.com/docs/troubleshooting-mdx
Reduces refusals by removing a refusal direction from selected dense residual writers in a quantized DeepSeek-V4.1-Flash-1017. It preserves the upstream GSQ-RCO routed experts and offers three low-bit size options.
Fine-tunes MiniMax-H3, but its model card provides no details about training data, changes, or evaluation results, so its behavior and quality remain unverified.
Generates speech from text and can clone a voice from a reference recording without fine-tuning. Its 0.6B-parameter core supports 23 languages, though quality varies substantially by language.