Commit Graph
4 Commits
Author SHA1 Message Date
Daniel HiltgenandGitHub f067033f91 mlx: add LFM3 and d1 models (#19333) 2026-10-27 08:47:18 -07:00
Daniel HiltgenandGitHub 72f61ca412 Add decision model integration tests and benchmarks (#18746)
* Add decision model integration tests and benchmarks

Support external JSONL corpora, quality scoring, concurrent requests, vision, and System One timing metrics.

* Refine decision tests and benchmarks with cache checks, external endpoints, and consistent response validation and timing
2026-10-13 12:16:57 -07:00
Daniel HiltgenandGitHub 665f9e074c Add Kev decision scoring to MLX (#18976)
* Add Kev decision scoring to MLX

Load Kev models with their FP32 decision head and release metadata.
Support System One scoring with shared-state caching and Kev-specific limits.

* address comments
2026-10-12 21:50:41 -07:00
a00d083bb5 mlx: System one support (#18701)
* 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>
2026-10-03 13:17:21 -07:00