Transformers / CI metrics
Transformers CI / metrics snapshot / 08 October 2026
198,366

recorded test & check results

143,283 in tests_torch

72.2%

of this run’s recorded results

One broad main run: 37786456684:1. Includes quality checks. This is not a count of distinct hand-written tests.

GitHub / October 8 snapshot

Repository community.

167,059

stars

34,768

forks

1,238

subscribers

Actual notification watchers

2,363

open issues + PRs

Combined GitHub API count

GitHub watchers_count repeats stars; subscribers_count measures actual watchers.

Pinned local checkout / tracked paths

Repository footprint.

6,610

tracked files

4,926

Python files

3,050

library source files

Under src/transformers/

1,389

documentation files

Under docs/

58workflow YAML definitions1,777tracked files under tests/

Git index at Transformers 4d536e1. Excludes Git internals and untracked work; counts overlap by category.

Source directories / configs / generated code

Model implementation inventory.

MeasureCountScope
Model source directories521Includes auto and shared support
Model test directories524Immediate model test directories
AutoConfig keys / class names725 / 722Submodels and aliases included
modeling_*.py files506Implementations include generated files
modular_*.py files300Sources for some generated implementations

These are different repository measures. They do not count supported Hub checkpoints or independently tested architectures.

Complete static scan / tests/**/*.py

Static test tree inventory.

1,675

Python files

All parsed successfully

1,094

test-prefixed files

Some are shared bases or support

13,875

test_* definitions

Functions and methods

464,936

source lines

Includes comments and helpers

Before inheritance, parameterization, dependency gates, hardware gates, and runtime skips.

Explicit test definitions / static count

Test definitions by area.

10,414

under models/

3,461

in all other areas

models10,414
utils770
shared / root463
trainer439
quantization435
generation339
pipelines263
repo_utils205
cli174
other areas373

13,875 total definitions. Shared methods and parametrized cases expand runtime collection.

Created 01–07 October / UTC calendar days

Actions workflow records per day.

All workflowsPR CI subset
8,638

all workflow records

1,234 / day

689

PR CI records

98.4 / day

Includes reviews, issue/PR automation, and skipped workflows. Workflow records do not count each rerun attempt separately.

PR creation / observed CI participation

Pull request throughput.

146

new PRs

October 1–7 UTC

20.9

new PRs / day

Seven complete calendar days

209

distinct PRs with CI

Rolling telemetry week

41.3

PRs with new runs / day

Rolling daily range: 17–60

21 · 25 · 7 · 12 · 23 · 39 · 19

New PRs by UTC date, October 1 → 7

A PR can have CI on multiple days. Created-PR counts and observed-CI participation use different populations and windows.

Numbered PRs / rolling 7-day start cohort

Recorded PR-related results.

68.1 million
649

test-bearing run attempts

209

distinct numbered PRs

184,309

median results / run

Mixed run types; may be incomplete

Exact total: 68,096,064. P90 ≈ 198,054 / run. Repeated test execution counts again; quality checks and partial reports are included.

Rolling 7-day workflow-start cohort

Observed pytest executions.

50,259

deduplicated shard / trace executions

~7,180/ day

9,385 in the final 24-hour start cohort

Logical run / job / hardware groups
CPU7,287
Single GPU107
Multi-GPU108

Groups aggregate shards. These are observed executions and logical groups, not physical runners, GPU inventory, or fleet capacity.

Measured inside jobs / cgroups + nvidia-smi

Measured runner allocations.

ARC poolCPU quotaJob RAMVisible GPU count × VRAM
aws-m8i-l-cache3.8 vCPU14 GiBCPU
aws-g5-4xlarge-cache22.8 vCPU83 GiB
1 × A10G · ~22 GiB
aws-g5-12xlarge-cache45.6 vCPU176 GiB
2 × A10G · ~22 GiB each
9distinct runner types in the hardware inventory; three have measurements from traced jobs.

Job allocations, not host specs. ARC fleet totals and configured limits are unavailable. The xGPU pool exposes two of the host’s four GPUs.

Main health / seven-day average series

Observed average test durations.

Llama 4GPU · 17B / 16-expert / fp32
41.5 min
SwinGPU · SDPA dynamic compilation
37.7 min
Cohere2 MoEGPU · fp16 integration
32.7 min
Audio exampleCPU · classification training
3.8 min

Different workloads and environments. Observed averages are not guaranteed runtimes or a comparative hardware benchmark.

Trailing 24 hours / cutoff 08 October 14:50 UTC

Observability data volume.

16.64m

collector spans accepted / day

Spans, not unique test cases

10.0 GB

trace payload received / day

About 9.3 GiB

776m

Prometheus samples appended / day

Includes repeated scrapes of gauges

337,875

active Prometheus head series

Point-in-time head-series count

Counter increases are extrapolated estimates. Span, byte, sample, and series counts measure different entities.

Account/activity configuration / October 8 label snapshot

AI Slop gate

30 days

minimum account age

Enabled account check

7 forks

maximum in 24 hours

Enabled activity check

2

checks must fail

Both enabled signals required

576

PRs carrying the label

Across all creation dates

0automatic close / lock enabled

Heuristics and label counts do not establish AI authorship, filter accuracy, or measured review-time savings.

Published September 29 / historical observations

Agent (Serge) auto-fix

29

merged fixes

Across roughly 80 days

~2.5

merged fixes / week

Approximate historical rate

5 + 5

verification repetitions

Before + after protocol

28 min

one investigation end to end

PVT v2 example

36turns in the PVT v2 case56 sLLM time in that case

Historical figures and one illustrative investigation. The repetition protocol does not guarantee every candidate verified successfully.