* MLX, MLX-C: version bump
The MLX-C pin now provides its own bindings for gather_qmm global_scale
and fast::gated_delta_update, so those two carried patches drop out.
Carry 0001-mlx-c-sdpa-window-size instead: sliding-window attention
added a window_size argument to fast::scaled_dot_product_attention
(ml-explore/mlx#4734) that MLX-C has not bound yet, to be regenerated
from MLX-C once the upstream binding PR merges. The SDPA wrappers gain
a window size argument; all call sites default to the full context.
* mlxrunner: dispatch sliding-window prefills to the native SDPA window
Sliding layers no longer materialize a causal∩sliding mask for prefill
chunks past the window: resolve() dispatches {causal, window} natively
when the rotating cache's L>1 concat has linearized the ring and the
mask is otherwise pure causal, via a new MaskApplier.NativeWindow hint.
Vision relaxations, padding, model arrays, and decode keep the
materialized path. No model changes; sinks compose natively.
* mlxrunner: restore System One scoring
Carry the MLX implementation and its tests from the original System One
commit. The API/compiler and llama-server implementation already exist on
the release branch, so retain those versions. Adapt the optional model test
to the renamed decision package and its explicit rendering/context setup.
(cherry picked from commit 26e546ddb3)
* Enable MLX System One and add regression coverage
* mlxrunner: add Laya support for System One
Import Laya checkpoints and implement bidirectional decision scoring.
* mlxrunner: release cached buffers after System One scoring
* decision: match Tev1 and Nimble publisher prompt formats
Select Tev1 prompts using renderer metadata and fix JSON formatting, with regression coverage for GGUF and MLX.
* mlx: support Clef and Clef Flash decision models
Add model import, quantization safeguards, and text/image scoring with the Clef joint decision head.
* support vision capabilities for decision models
* Make Clef scoring cancellable between prefill chunks
Preserve joint-head inputs and test cancellation, cleanup, and recovery.
* mlx: separate decision preparation and readout from forward
Let serial and batched scoring share model-owned preparation and readout
without duplicating architecture-specific logic in the runner.
* mlx: add Strands Decider support
* implement caching
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Co-authored-by: ParthSareen <parth.sareen@ollama.com>
Daniel HiltgenandGitHub
