Needle — Lara local router (needle-lara-es-v1)

Status: checkpoint artifact, NOT yet deployable on-device

1. More training data. The base architecture needs roughly 120 examples per tool (~100 train / 10 val / 10 test). This checkpoint was trained on only 75 total examples (~3 per tool), which overfits. On the held-out gate it scores action_accuracy = 0.09 and call_f1 = 0.0 — it emits no tool call for most inputs and falls back to the server LLM. delete_false_positives = 0 (the delete guard holds).
2. A Cactus mobile bundle. cactus-react-native loads a Cactus-format int8.zip via its native runtime, not a JAX .pkl. Converting this checkpoint to weights/needle-lara-es-v1-int8.zip requires the Cactus conversion pipeline (not part of the open cactus-compute/needle repo).

Contents

• checkpoints/needle-lara-es-v1.pkl — fine-tuned JAX checkpoint (bf16).
• tools.es.json — the 22-tool contract used for training/inference.
• train.jsonl, val.jsonl — Lara dataset ({query, tools, tool_call}).
• val.preds.jsonl — this checkpoint's predictions over the gate val set.

Reproduce