Add MLX support for Nemotron 3 Nano Omni, including the model implementation, Mamba2/recurrent pieces, MoE routing, and quantized NVFP4/MXFP8 expert paths.
Use a shared mapped MoE GatherQMM fast path under the generic moe_gather_qmm_mapped naming, with Metal-optimized NVFP4/MXFP8 block-mapped kernels and generic fallbacks for unsupported backends.
Serve the model's multi-token prediction head as a self-draft speculator, so speculative decoding needs no separate draft model.
Render the Nemotron prompt from the published chat template. The template the renderer was based on had drifted from the current reference; refreshing it surfaced five mismatches: stray leading newlines, the wrong turn separator and a trailing newline before the generation prompt; /think and /no_think toggles left in user turns; a trimmed system message the template leaves intact; a user block opened by a leading tool message; and Go scalar syntax for schema extras where the template applies Python str(), sending true/false/<nil> in place of True/False/None. Reference tests now render every case through the template itself.
Also harden the Nemotron parser path shared by both backends: while collecting thinking, preserve whitespace before partial </think>, <think>, and <tool_call> fakeouts, with streaming tests covering those cases.
* Reduce startup model hydration
Add a lightweight model list cache for tags and launch inventory, while keeping show cache population lazy. This avoids loading every local model at startup on large model stores.
* harden flaky scheduler unit test
* remove extra launch model metadata text
* review comments
* review comments
