Home › Code › load_hf_tokenizer

load_hf_tokenizer

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

load_hf_tokenizer appears in the code Syntology harvested for 10 papers, as 10 distinct code bodies found in 10 places (a place is one code body under one paper). At least one of them ran in 1 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_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 1 of the 10 distinct code bodies named load_hf_tokenizer; 9 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
1ran
9unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 5 of the 10 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

10 papers shown of 10, newest first; 10 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; 1 papers have no page here and are shown by arXiv id only. 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
$f$-PO: Generalizing Preference Optimization with $f$-divergence Minimization 29 Oct 2024 minkaixu/fpo/src/utils/utils.py 998ed94665ef9d83 unverified MIT (permissive)
On the Algorithmic Bias of Aligning Large Language Models with RLHF: Preference Collapse and Matching Regularization 26 May 2024 JiancongXiao/PM_RLHF/dschat/utils/utils.py 3f9f61afa9043c4f unverified no licence file found · pointer only
Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing 18 Apr 2024 YeTianJHU/AlphaLLM/utils/utils.py e90b184086a6543b unverified no licence file found · pointer only
Benchmarking Chinese Commonsense Reasoning of LLMs: From Chinese-Specifics to Reasoning-Memorization Correlations 21 Mar 2024 01-ai/Yi/finetune/utils/utils.py 3c7a6b46926fca7f unverified Apache-2.0 (permissive)
Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation 28 Feb 2024 xsc1234/info-rag/utils/utils.py 8ee33b82a7406f69 ran no licence file found · pointer only
Unveiling Linguistic Regions in Large Language Models 22 Feb 2024 zzhang0179/Unveiling-Linguistic-Regions-in-LLMs/training/utils/utils.py 17e20e9d289d2ca4 unverified Apache-2.0 (permissive)
Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning 8 Feb 2024 woooodyy/llm-reverse-curriculum-rl/R3_others/dschat/utils/utils.py 51909067f349309c unverified no licence file found · pointer only
Breaking Language Barriers in Multilingual Mathematical Reasoning: Insights and Observations 31 Oct 2023 microsoft/MathOctopus/utils/utils.py 4573c4150d38e483 unverified MIT (permissive)
ReMax: A Simple, Effective, and Efficient Reinforcement Learning Method for Aligning Large Language Models 16 Oct 2023 liziniu/ReMax/utils/utils.py 88cecd279a8c1dff unverified no licence file found · pointer only
arXiv:2024.naacl-long.326 LanXiu0523/RLHF_instructGPT/applications/utils/utils.py f9168a26bd28498e 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