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load_hf_lm_and_tokenizer

Syntologyentry name in harvested coderead from the graph 2026-09-24

load_hf_lm_and_tokenizer appears in the code Syntology harvested for 21 papers, as 3 distinct code bodies found in 21 places (a place is one code body under one paper). At least one of them ran in 0 of the papers; 0 of the code bodies carry a behaviour fingerprint.

What this page is not. Routines are grouped here by the exact string of their function or class name. Nothing asserts that two samples named load_hf_lm_and_tokenizer do the same thing, share code, or are comparable; the name is a string, not an identity. Behaviour outputs (what a fingerprinted sample returned on the shared battery) are not in this export and are not shown here; the graph at syntology.ai holds them. "Ran" means executed on a synthesized fixture, not that the code is correct or reproduces a paper.

Samples Syntology

Syntology ran 0 of the 3 distinct code bodies named load_hf_lm_and_tokenizer; 3 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
0ran · our draft was wrong
0ran · fixture could not drive it
0ran
3unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 8 of the 21 places are pointer only (Syntology does not serve that copy's text). This site shows no code text for any sample; every row below links to the file in its repository where the record names one.

“Ran” means the sample executed on a synthesized input; it does not mean the output is correct. “Honoured” and “violated” refer to a contract Syntology drafted from the code itself; “our draft was wrong” and “fixture could not drive it” are failures of Syntology's instrument, not of the code, and those samples did run. The ran count above is every status except unverified, the same rule as each paper page.

Papers

21 papers shown of 21, newest first; 21 places in the table. A paper with no recorded date is placed by the month its arXiv id encodes, shown in the Date column as YYYY-MM (from id). One row per place: a paper whose repository defines the name more than once appears more than once, and the same code body held for several papers appears once under each, with the same status. Titles and dates are the archive's archive 2025-07-28 for papers in the archive, and the graph's for 8 papers added by Syntology. Status and fingerprint are Syntology's record of each code body; licence is recorded for each place. The File cell ends with the code body's code_sha256, Syntology's identity for that exact code: an agent fetches the stored sample with Syntology's MCP tool get_code(code_sha256="…") (how to connect); click an identity to copy that call.

PaperDateFileStatus SyntologyLicence
Representation-Aware Advantage Estimation: Your Reward Model Provides More Than A Scalar Output added by Syntology 2026-06 (from id) fanqiwan/FuseAI/FuseO1-Preview/math_evaluation/model_utils.py ee71a94d9dd1b8e9 unverified no licence file found · pointer only
Where Hindsight Credit Can Reside: A Signed-Capacity View of Token Updates in RLVR added by Syntology 2026-04 (from id) QwenLM/Qwen2.5-Math/evaluation/model_utils.py ee71a94d9dd1b8e9 unverified no licence file found · pointer only
When to Trust Tools? Adaptive Tool Trust Calibration For Tool-Integrated Math Reasoning added by Syntology 2026-04 (from id) 00Dreamer00/ATTC/model_utils.py ee71a94d9dd1b8e9 unverified MIT (permissive)
Learning to Hint for Reinforcement Learning added by Syntology 2026-04 (from id) Andree-9/HiLL/eval/qwen_evaluation/model_utils.py ee71a94d9dd1b8e9 unverified no licence file found · pointer only
Adaptive Layerwise Perturbation: Unifying Off-Policy Corrections for LLM RL added by Syntology 2026-03 (from id) amazon-science/adaptive-layerwise-perturbation/multi-turn/eval/qwen_evaluation/model_utils.py ee71a94d9dd1b8e9 unverified Apache-2.0 (permissive)
On Representation Redundancy in Large-Scale Instruction Tuning Data Selection added by Syntology 2026-02 (from id) tdano1/CRDS/main/eval/eval_utils.py 5128feaec154eb63 unverified Apache-2.0 (permissive)
Self-Hinting Language Models Enhance Reinforcement Learning added by Syntology 2026-02 (from id) BaohaoLiao/SAGE/eval/qwen_evaluation/model_utils.py ee71a94d9dd1b8e9 unverified Apache-2.0 (permissive)
All-Quadrant Bounded Clipping GRPO: Closing the Unbounded Blind Spot for Stable and Generalizable Training added by Syntology 2026-01 (from id) chi2liu/ABC-GRPO/eval_math/model_utils.py ee71a94d9dd1b8e9 unverified Apache-2.0 (permissive)
QuestA: Expanding Reasoning Capacity in LLMs via Question Augmentation 17 Jul 2025 foreverlasting1202/QuestA/AReaL/evaluation/model_utils.py ee71a94d9dd1b8e9 unverified no licence file found · pointer only
Concise Reasoning, Big Gains: Pruning Long Reasoning Trace with Difficulty-Aware Prompting 26 May 2025 evanwu1125/litecot/eval/Qwen2.5-Math/evaluation/model_utils.py ee71a94d9dd1b8e9 unverified MIT (permissive)
Reinforcement Learning for Reasoning in Large Language Models with One Training Example 29 Apr 2025 ypwang61/one-shot-rlvr/Qwen2.5-Eval/evaluation/model_utils.py ee71a94d9dd1b8e9 unverified Apache-2.0 (permissive)
Process Reward Models That Think 23 Apr 2025 mukhal/thinkprm/search-and-learn/evaluation/model_utils.py ee71a94d9dd1b8e9 unverified MIT (permissive)
Concise Reasoning via Reinforcement Learning 7 Apr 2025 ai-wand/concise-reasoning/eval/model_utils.py ee71a94d9dd1b8e9 unverified MIT (permissive)
S$^2$R: Teaching LLMs to Self-verify and Self-correct via Reinforcement Learning 18 Feb 2025 nineabyss/s2r/sample/model_utils.py ee71a94d9dd1b8e9 unverified MIT (permissive)
On the Emergence of Thinking in LLMs I: Searching for the Right Intuition 10 Feb 2025 GuanghaoYe/Emergence-of-Thinking/evaluation/model_utils.py ee71a94d9dd1b8e9 unverified Apache-2.0 (permissive)
Weighted-Reward Preference Optimization for Implicit Model Fusion 4 Dec 2024 fanqiwan/fuseai/FuseO1-Preview/math_evaluation/model_utils.py ee71a94d9dd1b8e9 unverified no licence file found · pointer only
SuperCorrect: Supervising and Correcting Language Models with Error-Driven Insights 11 Oct 2024 YangLing0818/SuperCorrect-llm/model_utils.py ee71a94d9dd1b8e9 unverified no licence file found · pointer only
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models 10 Oct 2024 kbsdjames/omni-math-rule/evaluation/model_utils.py ee71a94d9dd1b8e9 unverified no licence file found · pointer only
Bridging and Modeling Correlations in Pairwise Data for Direct Preference Optimization 14 Aug 2024 YJiangcm/BMC/eval/math/eval/model_utils.py ee71a94d9dd1b8e9 unverified Apache-2.0 (permissive)
JiuZhang3.0: Efficiently Improving Mathematical Reasoning by Training Small Data Synthesis Models 23 May 2024 rucaibox/jiuzhang3.0/eval/model_utils.py ee71a94d9dd1b8e9 unverified no licence file found · pointer only
Lemur: Harmonizing Natural Language and Code for Language Agents 10 Oct 2023 OpenLemur/Lemur/xchat/eval/utils.py be8165ca7e91d372 unverified Apache-2.0 (permissive)

This site shows no code text; each File cell links to the file on GitHub at the repository's current default branch, which may have changed since the harvest. "Pointer only" means Syntology does not serve that copy's text, for one of four reasons: no licence file was found; the licence was not identified; the licence is recorded as permissive but that copy's record is not marked cleared; or the licence is outside the permissive list Syntology serves text under (MIT, Apache-2.0, BSD and similar). Some licences outside that list permit redistribution, such as WTFPL, and GPL-3.0 under its conditions; they are simply not on the list. Hover a licence cell for the reason. Per-sample records for a paper are on its paper page under "Code Syntology ran".

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections