From a0233f53f48f3cd3391a5c823e3d91407b7045d4 Mon Sep 17 00:00:00 2001 From: Pepijn Date: Wed, 20 May 2026 11:46:59 +0200 Subject: [PATCH] feat(annotate): default VLM to Qwen3.6-35B-A3B-FP8 Match the production target used in examples/annotations/run_hf_job.py. Per Scale Labs' dense-captioning ablations, model capacity dominates prompt-engineering gains; defaulting to the larger model avoids shipping a worst-tier configuration out of the box. Co-Authored-By: Claude Opus 4.7 (1M context) --- src/lerobot/annotations/steerable_pipeline/config.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/lerobot/annotations/steerable_pipeline/config.py b/src/lerobot/annotations/steerable_pipeline/config.py index f6b9204bc..c609cd286 100644 --- a/src/lerobot/annotations/steerable_pipeline/config.py +++ b/src/lerobot/annotations/steerable_pipeline/config.py @@ -102,7 +102,7 @@ class VlmConfig: # ``openai`` talks to a local OpenAI-compatible server; the CLI # auto-spawns one when ``auto_serve=True``. backend: str = "openai" - model_id: str = "Qwen/Qwen2.5-VL-7B-Instruct" + model_id: str = "Qwen/Qwen3.6-35B-A3B-FP8" # OpenAI-compatible server endpoint; ``EMPTY`` works for local servers. api_base: str = "http://localhost:8000/v1"