permissive-post-train/evaluation-records

MixtureVitae post-training evaluation records

The evaluation records behind the tables and figures of Strong Post-Training from Permissive, Reasoning-Dominant, Web-Scale Pretraining (NeurIPS 2026), in one place. The pipeline that turns them into the paper's tables, figures and quoted numbers is mv-post-train. Its mv_post_train/inputs.json pins every file here by SHA-256 and by a revision of this repository, and mvpt fetch-inputs downloads them:

pip install -e . -r requirements-lock.txt
mvpt fetch-inputs        # every input of the paper, from here and its other sources
mvpt build --check       # rebuild every generated file and compare with results/

Some files are copies of public ones, and inputs.json keeps their original sources as fallbacks: R13 and R13-language of Ali-Elganzory/permissive-llms-artifacts at commit 8cc2e51, R14-scores and R14-ifeval of laion/mv-posttrain-eval-responses at revision e820fb34 (R14), and S2-0.4b and S2-1.7b of the two checkpoints' model repositories. The only other inputs of the paper are three small files in the pipeline repository itself. docs/inputs.md of the pipeline describes every input.

Files

The IDs are the pipeline's input IDs.

ID	File	Size	SHA-256	What it holds
R13	protocol_a/canonical_reasoning_per_sample.csv	105 MB	867ff6d6782b…	The main Protocol A records: one score per checkpoint, seed, task and question, for 57 checkpoints. Tables 1, 5, 6, 8 (its decontaminated rows), 15 (its rows without masking), 26 and 28 to 30, Figures 3 to 5.
R15	protocol_a/comma_reasoning_unified_per_sample.csv	12 MB	a8e33f163ce4…	Protocol A records of the front-loaded Comma0.1 arm (six checkpoints). Tables 5 and 28 to 30, Figures 3 to 5.
R18	protocol_a/ablation_decontamination_0_4B_reasoning_per_sample.csv	61 MB	021b81d039ec…	Protocol A records of the 36 checkpoints of the 100B mixture ablation, the MV model without decontamination and the 0.4B comparison. Tables 7, 8, 9 and 27.
R19	protocol_a/masked_reasoning_per_sample.csv	9 MB	8084115c57e8…	Protocol A records of the four masked MV checkpoints (copies of the laion/*-masked models with the same weights). Table 15's rows with masking.
R20	protocol_a/fineweb_edu_16k_april_base_unified_per_sample.csv	2 MB	153341e3f95a…	Protocol A records of the FineWeb-Edu 16K base that its SFT and DPO models were trained from. Tables 1, 5, 6 and 28 to 30, Figures 3 to 5.
R21	protocol_a/ifeval_strict_per_sample_protocol_a.csv	34 MB	eac0a09812bc…	Protocol A IFEval verdicts with the strict checker, one row per checkpoint, seed and instruction, for 112 checkpoints. Every Protocol A IFEval score of the paper.
R22	protocol_a/phase1_livecodebenchv5_per_sample.csv	17 MB	80b2d27da77a…	Protocol A LiveCodeBench v5 verdicts, one row per checkpoint, seed and problem, for 112 checkpoints, on the 369 problems of LiveCodeBench v5 that Phase 2 runs. Every Protocol A LiveCodeBench score of the paper.
R13-language	language/ablation_frontloading_x_permissiveness_language_evaluations.csv	16 kB	e108272f2227…	One language score per task for the front-loading study's checkpoints without Comma0.1, and each task's shot count and metric. Tables 5 and 31.
R8	language/language_eval-logs.zip	2.9 GB	0492e8a69dd6…	LM Evaluation Harness results with per-question files and three prompt-example seeds, for 19 checkpoints of MV, Comma0.1 and Nemotron-CC-HQ. Tables 11, 12, 14, 16, 31, 33 and 34.
R8-fineweb	language/logs-fineweb.zip	2.0 GB	d940f546b4dc…	The same for 7 FineWeb-Edu checkpoints. Tables 11, 14, 33 and 34.
R16	language/language_eval_all_models_2026-10-16.zip	3 MB	bb0b7b1a2fc7…	LM Evaluation Harness results for 82 checkpoints, one prompt-example seed, without per-question files. Tables 10 to 14 and 16, and Table 31's front-loaded Comma0.1 rows.
R17	language/masked_models_lang_evals.zip	0.5 MB	c53217be762c…	LM Evaluation Harness results for five masked checkpoints. Table 16's rows with masking.
R14-scores	phase2/eval_scores.parquet	70 kB	666002c3c4e9…	The three-seed Phase 2 scores of R14, with IFEval under all four definitions. Every Phase 2 result of the paper.
R14-ifeval	phase2/ifeval_allmetrics_persample.parquet	0.2 MB	1dd7734ef79a…	R14's IFEval counts per prompt and seed: instructions, and those followed with the strict and the loose checker.
R14-meta	phase2/eval_responses_meta.parquet	2 MB	59872f7e7a31…	The small columns (model, stage, task, question, seed, correctness, checkpoint folder, token limit) of R14's answer file, eval_responses.parquet (10 GB), which is not copied here. mvpt fetch-phase2-records writes the same file from R14.
R14-lengths	phase2/answer_lengths.parquet	6 MB	9863758e52d1…	One row per Phase 2 answer of R14, without its text: its length, and whether the grader found an answer and a code block. mvpt measure-phase2-answers writes the same file from R14 in about two hours.
S1	snapshots/hf_checkpoints.json	87 kB	3e0a2a818b6f…	A snapshot of the Hugging Face records of every checkpoint the paper evaluates (repos, weight hashes, model cards, training summaries, context settings), taken on 2026-10-12 and 2026-10-13. It gives each checkpoint's parent in the results manifest.
S2-0.4b, S2-1.7b	setup/*.config.json	1 kB each	24a64d86ef89…, b2d8faeee3c6…	The config.json of the 0.4B and 1.7B MV base models, the architectures of Table 18.
R6	older/logs_without_gpqa_items.zip	416 MB	2f9db28c0e7a…	LM Evaluation Harness and Evalchemy results files of the older evaluations, January to May 2026, without the GPQA Diamond items (see below). No table of the paper prints them, but the results manifest keeps them.

The full SHA-256 of each file is in inputs.json, which checks every download.

Formats

Protocol A records (R13, R15, R18 to R22) have one row per checkpoint, decoding seed, benchmark and question: model_id, stage, model_group, front_loading, context_length, seed, benchmark, sample_id, correct, and in some files the experiments the checkpoint belongs to. They hold no question or answer text. Protocol A is greedy decoding with seeds 42, 1234 and 2025 (the paper's Table 23).

Language results (R8, R8-fineweb, R16, R17) are the results files that the LM Evaluation Harness writes, zipped as received. R8 and R8-fineweb also hold its per-question files, which contain the benchmark questions and the models' answers.

Older evaluations (R6) are the results files as received, except for GPQA Diamond. GPQA asks that its items not be published in plain text, and Evalchemy saves every item it scores with the results, so here each GPQA item keeps only its GPQA record ID, the letter of the correct choice, and the model's answer in each repetition if it is a letter (otherwise an empty string). The scores and every other file are unchanged. release/records/strip_gpqa.py of the pipeline writes this copy from the original.

The paths with /e/scratch/jureap59/ in the results files are the working directory of the cluster the evaluations ran on.

License

The records are under CC BY 4.0. The benchmark questions in R6, R8 and R8-fineweb keep the licenses of their benchmarks, and the model answers in them those of the models that wrote them.

Versions

Records are added here as new runs and checkpoints are published. Each version of the pipeline pins the revision it read, so a release of the paper's tables always names the exact files behind it.