Home › Code › get_llama

get_llama

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

get_llama appears in the code Syntology harvested for 21 papers, as 13 distinct code bodies found in 22 places (a place is one code body under one paper). At least one of them ran in 14 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 get_llama 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 5 of the 13 distinct code bodies named get_llama; 8 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
4ran · our draft was wrong
0ran · fixture could not drive it
1ran
8unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 10 of the 22 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; 22 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; 4 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
DenoiseRotator: Enhance Pruning Robustness for LLMs via Importance Concentration 29 May 2025 axel-gu/denoiserotator/llama_prune.py 708c67f2479aa444 ran · our draft was wrong Apache-2.0 (permissive)
Separate the Wheat from the Chaff: A Post-Hoc Approach to Safety Re-Alignment for Fine-Tuned Language Models 15 Dec 2024 pikepokenew/IRR/IRR/llama.py 99abb5717e4763c2 ran · our draft was wrong no licence file found · pointer only
MicroScopiQ: Accelerating Foundational Models through Outlier-Aware Microscaling Quantization 8 Nov 2024 georgia-tech-synergy-lab/microscopiq-llm-quantization/llm/llama.py d1d25542bf6a73b0 unverified MIT (permissive)
Two Sparse Matrices are Better than One: Sparsifying Neural Networks with Double Sparse Factorization 27 Sep 2024 usamec/double_sparse/llama.py bf5b0ce87ee19903 ran Apache-2.0 (permissive)
LeanQuant: Accurate Large Language Model Quantization with Loss-Error-Aware Grid 14 Jul 2024 LeanModels/LeanQuant/llama.py 9c16d58cb9509ae5 unverified no licence file found · pointer only
ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training Multiplication-Less Reparameterization 10 Jun 2024 gatech-eic/shiftaddllm/llama_analysis.py 88d590323ed219c8 ran · our draft was wrong Apache-2.0 (permissive)
MagR: Weight Magnitude Reduction for Enhancing Post-Training Quantization 2 Jun 2024 aozhongzhang/magr/llama.py 88d590323ed219c8 ran · our draft was wrong MIT (permissive)
Sparse Expansion and Neuronal Disentanglement 24 May 2024 shavit-lab/sparse-expansion/utils/modelutils.py c6dd03f3342d1724 unverified MIT (permissive)
An empirical study of LLaMA3 quantization: from LLMs to MLLMs 22 Apr 2024 macaronlin/llama3-quantization/llama.py 2c201f017173954b ran · our draft was wrong no licence file found · pointer only
FrameQuant: Flexible Low-Bit Quantization for Transformers 10 Mar 2024 vsingh-group/framequant/llama.py 7ca52cb5d1719b2f unverified no licence file found · pointer only
SparseLLM: Towards Global Pruning for Pre-trained Language Models 28 Feb 2024 BaiTheBest/SparseLLM/model_utils.py 0ac474c6b7daab48 unverified Apache-2.0 (permissive)
Agile-Quant: Activation-Guided Quantization for Faster Inference of LLMs on the Edge 9 Dec 2023 shawnricecake/agile-quant/gptq_fq_quant_llama.py 2c201f017173954b ran · our draft was wrong no licence file found · pointer only
One-Shot Sensitivity-Aware Mixed Sparsity Pruning for Large Language Models 14 Oct 2023 talkking/MixGPT/llama.py 88d590323ed219c8 ran · our draft was wrong no licence file found · pointer only
Compressing LLMs: The Truth is Rarely Pure and Never Simple 2 Oct 2023 VITA-Group/llm-kick/GPTQ_experiment/llama.py 2c201f017173954b ran · our draft was wrong no licence file found · pointer only
Compressing LLMs: The Truth is Rarely Pure and Never Simple 2 Oct 2023 VITA-Group/llm-kick/GPTQ_experiment/llama_inference.py ffa71b6ff9b64407 unverified no licence file found · pointer only
ChatHome: Development and Evaluation of a Domain-Specific Language Model for Home Renovation 28 Jul 2023 lianjiatech/belle/models/gptq/llama.py 88d590323ed219c8 ran · our draft was wrong Apache-2.0 (permissive)
Do Emergent Abilities Exist in Quantized Large Language Models: An Empirical Study 16 Jul 2023 rucaibox/quantizedempirical/models/llama.py 2c201f017173954b ran · our draft was wrong no licence file found · pointer only
LLaMA: Open and Efficient Foundation Language Models 27 Feb 2023 identical code first harvested elsewhere 2c201f017173954b ran · our draft was wrong licence of this copy not recorded
arXiv:openreview_d3RFDLBw01 AI2C-Lab/STLA/model_utils.py 00f92653e59d38b4 unverified Apache-2.0 (permissive)
arXiv:2025.findings-emnlp.1054 IST-DASLab/sparsegpt/llama.py 88d590323ed219c8 ran · our draft was wrong Apache-2.0 (permissive)
arXiv:2024.findings-naacl.145 LianjiaTech/BELLE/models/gptq/llama.py 88d590323ed219c8 ran · our draft was wrong Apache-2.0 (permissive)
arXiv:2023.emnlp-main.892 SamsungLabs/Z-Fold/llama.py 6897a8caeb3dedd0 unverified MIT (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