Files
ollama/mlxrunner/model/score.go
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

---------

Co-authored-by: ParthSareen <parth.sareen@ollama.com>
2026-10-03 13:17:21 -07:00

20 lines
711 B
Go

package model
import (
"context"
"github.com/ollama/ollama/llm"
"github.com/ollama/ollama/mlx"
)
// ScoreForward evaluates a causal backbone through the runner's prefix cache,
// returning the complete hidden row and the number of restored tokens. Segments supply
// the original media bytes for cache identity. Call within an MLX scope.
type ScoreForward func(context.Context, *PreparedRequest, []Segment) (*mlx.Array, int, error)
// CachedScorer owns decision preparation and readout; the runner owns forward
// execution and retained state. Bidirectional encoders cannot use this path.
type CachedScorer interface {
Score(context.Context, llm.ScoreRequest, ScoreForward) (llm.ScoreResponse, error)
}