R Observatory: Metrics for ggmlR version 0.8.8.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

ggmlR

0.8.8.1Package record

'GGML' Tensor Operations for Machine Learning

2packages dependsuggested by 1

5Kdownloads / year

61.9%test coverage

12/13flavors OK

Overview

About

Maintained by Yuri BaramykovCRAN page ↗GitHub ↗Issues ↗

Provides 'R' bindings to the 'GGML' tensor library for machine learning, optimized for 'Vulkan' GPU acceleration with a transparent CPU fallback. The package features a 'Keras'-like sequential API and a 'PyTorch'-style 'autograd' engine for building, training, and deploying neural networks. Key capabilities include high-performance 5D tensor operations, 'f16' precision, and efficient quantization. It supports native 'ONNX' model import (50+ operators) and 'GGUF' weight loading from the 'llama.cpp' and 'Hugging Face' ecosystems. Designed for zero-overhead inference via dedicated weight buffering, it integrates seamlessly as a 'parsnip' engine for 'tidymodels' and provides first-class learners for the 'mlr3' framework. See https://github.com/ggml-org/ggml for more information about the underlying library.

Changes in 0.8.8.1

ag_tape_memory() now deduplicates shared storage on R builds without memory profiling (it relied on tracemem(), which errors there), fixing two test failures on CRAN's r-devel fedora flavour.

From NEWS.md in the release

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("ggmlR", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("Zabis13/ggmlR")

Development version from Zabis13/ggmlR. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-ggmlr

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-ggmlR

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-ggmlR

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

1ERROR12OK

Check messages

ERRORtestsr-devel-linux-x86_64-debian-clang

Running ‘testthat.R’ [70s/77s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
  > library(testthat)
  > library(ggmlR)
  > 
  > if (requireNamespace("mlr3", quietly = TRUE)) library(mlr3)
  > if (requireNamespace("parsnip", quietly = TRUE)) library(parsnip)
  > 
  > heavy <- c(
  +   "normalization",
  +   "sequence-ops",
  +   "binary-operations",
  +   "glu",
  +   "nn-sequential",
  +   "matrix-ops",
  +   "callbacks",
  +   "onnx-quant",
  +   "cpu-backend",
  +   "onnx-elementwise",
  +   "onnx-norm",
  +   "onnx-misc",
  +   "onnx-logic",
  +   "onnx-gemm",
  +   "onnx-resize",
  +   "onnx-nn",
  +   "nn-functional",
  +   "activations-extended",
  +   "onnx-ops",
  +   "transformer-ops",
  +   "onnx-shape",
  +   "math-operations",
  +   "activations",
  +   "backend-extended",
  +   "helpers",
  +   "onnx-reduce",
  +   "chain-sequential-batchnorm",
  +   "chain-patterns",
  +   "onnx-chain-quant",
  +   "onnx-chain-qlinearconv",
  +   "onnx-chain-uncovered-op
...[truncated]...
    'test-matmul-precision.R:84:3', 'test-matmul-precision.R:95:3',
    'test-vk-matmul-prec.R:71:3', 'test-vk-matmul-prec.R:93:3',
    'test-vk-matmul-prec.R:108:3', 'test-vk-matmul-prec.R:133:3',
    'test-vk-matmul-prec.R:149:3', 'test-vk-matmul-prec.R:175:3'
  • src/ directory not found (1): 'test-headers-sync.R:17:3'
  • src/ggml.h not found (1): 'test-headers-sync.R:42:3'
  
  ══ Failed tests ════════════════════════════════════════════════════════════════
  ── Failure ('test-ag-tape-memory.R:89:3'): shared storage is counted once, not once per reference ──
  Expected `r$bytes_total` < `8 * one`.
  Actual comparison: 494872.0 >= 263872.0
  Difference: 231000.0 >= 0
  ── Failure ('test-ag-tape-memory.R:116:3'): shared storage is charged to the operand, not to the activation ──
  Expected `r$bytes_snapshots` < `3 * one`.
  Actual comparison: 296912.0 >= 98952.0
  Difference: 197960.0 >= 0
  
  [ FAIL 2 | WARN 0 | SKIP 317 | PASS 2419 ]
  Error:
  ! Test failures.
  Execution halted

CRAN check page ↗

Slowest check: 13.9 min · r-oldrel-windows-x86_64

Status changes

ERROR12 OK, 1 ERROR2026-10-21
OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-07-23
ERROR12 OK, 1 ERROR2026-07-16

Show 3 earlier changesHide 3 earlier changes

OK13 OK2026-04-30
ERROR10 OK, 3 NOTE, 1 ERROR2026-04-16
NOTE11 OK, 3 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.8.8.1

READMEYes · 10,513 wordsVignettesYes · 12 · evaluation depends on the environmentNEWSYes · 67% structured · mentions 0.8.8.1Citation fileNoWebsitenot declared in DESCRIPTION

Help pages: 794 (69 internal)includes a package overview page
Examples that run: 13%38 run in a plain check (3 of them under a condition) · 246 only when donttest examples are enabled (R CMD check --as-cran) · 7 never run
Exported functions with examples: 40%
Documented parameters: 98%
Return-value docs: 100%
Help pages citing references: 0%

Vignettes (12)

01. Quickstart: from data to prediction in ~10 lines HTML
02. Keras-like API in ggmlR HTML
03. Autograd Engine HTML
04. tidymodels / parsnip Integration HTML
05. mlr3 Integration HTML
06. GPU / Vulkan Backend HTML
07. Quantization HTML
08. Data-Parallel Training HTML
09. ONNX Model Import HTML
10. Using ggmlR as a Backend in Your Package HTML

Show 2 moreHide 2 vignettes

How these are measured

Downloads

5K

CRAN downloads in the past year

Rank #5,198 · ~14/day · ~413/mo

Releases R versions

Daily download trend is not available in this view yet.

55230 days

1.6K90 days

5K1 year

Compare downloads with other packages →

Also on438 r2u5 autocran

How downloads are counted

Repository

zabis13/ggmlr ↗Account: Zabis13

20Stars

1Forks

0Open issues

0Open PRs

12Releases

221Commits

3Commit identities

gpu-accelerationgpu-vulkanvulkan

221 commits · Last activity 2026-10-22 · +11.1% stars, 30d

Responsiveness

How these are sampled

PRs merged (all time): 100%
Median days to close, 50 most recently updated closed issues: 4
Median days to close, 50 most recently updated closed PRs: 1

Stars over time

2026-04-11 · 12026-10-18 · 20

How these are measured

PracticesBeta

5 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/zabis13/ggmlr on 2026-10-21.

Continuous integration (2)

GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

CRAN release process (2)

cran-comments.mdCRAN-SUBMISSION

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v4 (2026-10-20)

AI coding toolsBeta

This repository shows signs of AI coding tools.

Claude Codefirst seen on or before 2026-02-06
Named in .Rbuildignore: .claude, CLAUDE.md
Named in .gitignore: CLAUDE.md
Commits: at least 1 crediting it in the message

Models named in its commits

Claude Fable 51 commit · Jul 2026

Counts are commits, not lines of code. Commits by a tool's accounts count once across all of its accounts. Commits crediting it are the largest count among its credit lines, a minimum.How this is detected·Detection ruleset v4 (updated 2026-09-27)

Dependencies

Declared dependencies

27 external dependencies (excludes base and recommended)

Installing ggmlR adds 2 packages (0 with compiled code, 109 KB of source tarballs). Heaviest: R6 63 KB, generics 46 KB.

Depends (1)

R >= 4.1.0

Imports (5)

generics R6methodsstatsutils

LinkingTo (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

2direct

0indirect

Depends 1 · Imports 1 · LinkingTo 2

Suggested by 1

Depends, Imports or LinkingTo, most downloaded first

sd2R llamaR

Suggests, most downloaded first

cayleyR

How these are counted

Code & Tests

People & History

People (5)

Yuri Baramykov

Author, Maintainer since 0.5.1 (2026)

Mozilla Foundation

Contributor, Copyright holder

Author of llamafile/sgemm.cpp

Georgi Gerganov

Contributor, Copyright holder

Author of the GGML library

Bowen Peng

Contributor, Copyright holder

Contributor to ops.cpp

Jeffrey Quesnelle

Contributor, Copyright holder

Contributor to ops.cpp

Releases (15)

Pick two releases to compare their code metrics.

0.8.8.1Latest
record
2026-10-22 · current release · diff ↗ ·
listed once in CRAN's queue
Seen in one reading of CRAN's incoming queue, at 2026-10-22 21:24 UTC, so it stayed less than the time between readings.
0.8.8
record
2026-10-20 · diff ↗ ·
added 46 exports
ag_argmax, ag_buffer, ag_buffer_free, ag_buffer_read, ag_buffer_write, ag_capture, ag_capture_free, ag_capture_set, ag_capture_step, ag_checkpoint, ag_concat_rows, ag_estimate_training_memory, ag_flash_attention, ag_gather, ag_get_rows, ag_grad, ag_graph_mode, ag_load_state_dict, ag_local_mode, ag_log_softmax, ag_matmul_precision, ag_max, ag_sample_categorical, ag_sample_normal, ag_slice_rows, ag_state_dict, ag_tape_memory, ggml_fit_generator, ggml_fit_opt_gen, ggml_freeze_bn_stats and 16 more
0.8.4
record
2026-08-21 · diff ↗ ·
added 86 exports
GGML_N_TASKS_MAX, ag_layer_norm, check_grad_anomaly, clip_grad_value, ggml_attention, ggml_backend_buft_get_alignment, ggml_backend_buft_get_max_size, ggml_backend_buft_is_host, ggml_backend_buft_name, ggml_backend_dev_buffer_type, ggml_backend_dev_host_buffer_type, ggml_backend_sched_trace, ggml_build_backward_expand, ggml_build_forward_expand_grads, ggml_cast, ggml_cast_numeric, ggml_conv_1d_layer, ggml_conv_2d_layer, ggml_cross_entropy_loss, ggml_cross_entropy_loss_back, ggml_cumsum, ggml_custom, ggml_custom_inplace, ggml_custom_ops, ggml_fit_opt_multi, ggml_flash_attn_ext_add_sinks, ggml_flash_attn_ext_get_prec, ggml_flash_attn_ext_set_prec, ggml_gallocr_new_buft, ggml_gated_linear_attn and 56 more
0.8.2
record
2026-07-22 · diff ↗
0.8.1
record
2026-07-13 · diff ↗ ·
added 27 exports
RunGGML, ag_load_model, ag_save_model, as_gpu_matrix, ggml_crossprod, ggml_extract, ggml_inject, ggml_matmul, ggml_matmul_f64, ggml_model_backend, ggml_ops_registry, ggml_pp_dp_forward, ggml_pp_forward, ggml_result, ggml_run, ggml_set_seed, ggml_task, ggml_tcrossprod, ggml_tp_dp_forward, ggml_training_history, ggml_vulkan_device_groups, ggml_vulkan_hard_exit_available, ggml_vulkan_p2p_selftest, ggml_vulkan_shutdown, ggml_vulkan_split_buffer_type, ggml_vulkan_split_mul_mat, ggml_vulkan_split_row_ranges
0.7.8
record
2026-06-04 · diff ↗ ·
added 2 exports
ggml_opt_dataset_weights, ggml_opt_loss_type_weighted_mse
0.7.7
record
2026-05-25 · diff ↗ ·
added 16 exports
dequantize_row_nvfp4, dequantize_row_q1_0, ggml_add_rel_pos, ggml_arange, ggml_backend_meta_device, ggml_conv_1d_dw, ggml_conv_2d_dw, ggml_conv_2d_dw_direct, ggml_conv_transpose_2d_p0, ggml_get_rel_pos, ggml_pad_reflect_1d, ggml_roll, ggml_win_part, ggml_win_unpart, quantize_nvfp4, quantize_q1_0
R
R 4.6.0 released · 2026-04-24
0.7.6
record
2026-04-22 · diff ↗
0.7.5
record
2026-04-20 · diff ↗ ·
added 6 exports
GGML_TYPE_Q2_K, GGML_TYPE_Q3_K, GGML_TYPE_Q4_K, GGML_TYPE_Q5_K, GGML_TYPE_Q6_K, ggml_conv_2d_direct
0.7.2
record
2026-04-15 · diff ↗ ·
added 6 exports
ggml_default_mlp, ggml_marshal_model, ggml_unmarshal_model, ggml_vulkan_device_caps, ggmlr_parsnip_fit_classif, ggmlr_parsnip_fit_regr
0.7.0
record
2026-04-06 · diff ↗ ·
added 6 exports
gguf_free, gguf_load, gguf_metadata, gguf_tensor_data, gguf_tensor_info, gguf_tensor_names
0.6.7
record
2026-03-29 · diff ↗
0.6.3
record
2026-03-18 · diff ↗ ·
added 9 exports
compile, evaluate, fit, ggml_set_omp_threads, onnx_device_info, onnx_inputs, onnx_load, onnx_run, onnx_summary
0.6.1
record
2026-02-23 · diff ↗ ·
added 107 exports
GGML_TYPE_BF16, ag_add, ag_batch_norm, ag_clamp, ag_cross_entropy_loss, ag_dataloader, ag_default_device, ag_default_dtype, ag_device, ag_dropout, ag_dtype, ag_embedding, ag_eval, ag_exp, ag_gradcheck, ag_linear, ag_log, ag_matmul, ag_mean, ag_mse_loss, ag_mul, ag_multihead_attention, ag_param, ag_pow, ag_relu, ag_reshape, ag_scale, ag_sequential, ag_sigmoid, ag_softmax and 77 more
0.5.1
record
2026-02-09

Show 1 earlier eventHide 1 earlier event

R
R 4.5.0 released · 2025-04-11

Across CRAN, the median accepted release of the past year spent 26 hours in the queue, 90% under 11 days.How queue time is measured

Package metadata

First published: 2026-02-09
Total releases: 15 / 1 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 4.1.0
Download size: 2.7 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ggmlR")

Format

Baramykov, Y., Mozilla Foundation, Gerganov, G., Peng, B., & Quesnelle, J. (2026). ggmlR: 'GGML' Tensor Operations for Machine Learning (Version 0.8.8.1) [Computer software]. https://doi.org/10.32614/CRAN.package.ggmlR

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for ggmlR version 0.8.8.1 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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