AI is happening. The future is updating.Qwen3.8-Flash-Next-MLX-Mixed-2bit
This is a reproducible MLX conversion of `Qwen/Qwen3.8-Flash-Next` at immutable revision `f5d08274bafd880402bd16f5e3e6c514136ec06c`. The 48 base routed-expert banks use MLX affine Q2/group-128, the 160-wide n-gram table and remaining eligible core/MTP matrices use Q4, while token/output embeddings, QSA indexers, routers, vision, and MTP fusion heads remain BF16. This is the 128 GB Mac profile. Native support is available as of **mere.run v0.45.0**. The instructions below use its Apple Silicon Swift/MLX runtime. No Python environment, local quantization, or separate MTP-model download is needed.
This is a reproducible MLX conversion of `Qwen/Qwen3.8-Flash-Next` at immutable revision `f5d08274bafd880402bd16f5e3e6c514136ec06c`. The 48 base routed-expert banks use MLX affine Q2/group-128, the 160-wide n-gram table and remaining eligible core/MTP matrices use Q4, while token/output embeddings, QSA indexers, routers, vision, and MTP fusion heads remain BF16. This is the 128 GB Mac profile. Native support is available as of **mere.run v0.45.0**. The instructions below use its Apple Silicon Swift/MLX runtime. No Python environment, local quantization, or separate MTP-model download is needed.