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Author	SHA1	Message	Date
Snider	34d0f9ce41	refactor: extract mlx/ to standalone core/go-mlx module Remove mlx/ directory (now lives at forge.lthn.ai/core/go-mlx). Update ml/backend_mlx.go imports to reference the new module. Add replace directive for local development. Co-Authored-By: Virgil <virgil@lethean.io>	2026-02-19 18:24:32 +00:00
Snider	0eaf3d5a17	feat(mlx): add LoRA adapter layers and AdamW optimizer LoRA: low-rank adaptation with trainable A/B matrices, Kaiming normal init, safetensors save/load. AdamW: decoupled weight decay optimizer with positional moment tracking for gradient-replaced params. 14 tests passing including end-to-end LoRA+AdamW training loop. Co-Authored-By: Virgil <virgil@lethean.io>	2026-02-17 17:25:42 +00:00

Author

SHA1

Message

Date

Snider

34d0f9ce41

refactor: extract mlx/ to standalone core/go-mlx module

Remove mlx/ directory (now lives at forge.lthn.ai/core/go-mlx).
Update ml/backend_mlx.go imports to reference the new module.
Add replace directive for local development.

Co-Authored-By: Virgil <virgil@lethean.io>

2026-02-19 18:24:32 +00:00

Snider

0eaf3d5a17

feat(mlx): add LoRA adapter layers and AdamW optimizer

LoRA: low-rank adaptation with trainable A/B matrices, Kaiming normal
init, safetensors save/load. AdamW: decoupled weight decay optimizer
with positional moment tracking for gradient-replaced params.

14 tests passing including end-to-end LoRA+AdamW training loop.

Co-Authored-By: Virgil <virgil@lethean.io>

2026-02-17 17:25:42 +00:00

2 commits