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explcre/
scale-base-blend-rsim-w0p3-detikzify-siglip-s1000

Name: scale-base-blend-rsim-w0p3-detikzify-siglip-s1000
Availability: InStock

reinforcement-learning

verl

mit

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scale_base_blend_rsim_w0p3_detikzify_siglip @ step 1000

RL checkpoint. Base TikZilla-3B (SFT), trained with Dr.GRPO/DAPO against the DSV blend_dr verifiable reward (0.7·DSV + 0.3·RenderGraph, both symbolic verifiers -- no learned reward model).

data: explcre/datikz_v4_rl_hybrid_428k (427,553 rows, 46.6% Kimi-K3 descriptions / 53.4% DaTikZ-v4 vlm_description, tagged per row)
verifier: explcre/DeTikZify branch dsv-verifier @ c348406
config: batch 84, rollout n=8, max_response_length 2048, 1500 steps planned

Evaluate with the matching input distribution. The same checkpoint scores differently on vlmdesc984 vs kimidesc984, and differently again under different TeX/compile-gate versions -- always report the measurement config with the number.

explcre/scale-base-blend-rsim-w0p3-detikzify-siglip-s1000

scale_base_blend_rsim_w0p3_detikzify_siglip @ step 1000

explcre/
scale-base-blend-rsim-w0p3-detikzify-siglip-s1000