ABSENT
BORN LABS
Explore ABLPages & docs

Absent Born Labs / Public directory

Explore ABL.

Pages, documentation and the work behind them.

30 pages and section links. Browse the directory.

One menu for pages, documentation and lab records.

PUBLIC SURFACE / DESIGN ATLAS

ABL—000 / THE WORK, MADE VISIBLE

Inside
the lab.
Follow the work.

An independent AI lab exploring local models, agents, persistent memory, and the engineering between an idea and something you can inspect.

Enter the laboratory ↓
01 / WEIGHTS
02 / ROUTES
03 / EVIDENCE
FIG. 00
RESEARCH FIELD
SCHEMATIC / NOT TELEMETRY
Original ABL craft / a new field of view
FROM MODEL WEIGHTS TO PUBLIC RECORDSCROLL TO DESCEND ↓
§01 / THROUGH THE CROSS-SECTION

Go beneath
the interface.

EXPLAINER / CONCEPTUAL CROSS-SECTION

A / THE MODEL

Start at
the weights.

ABLE-Origin explores training a language model from scratch: architecture, tokenizer, training, and the evidence left by a run.

Read the model record ↗

B / THE SYSTEM

Make the
parts meet.

Local inference, agent routes, memory and application data controls form different engineering problems. A system diagram should make their boundaries easier to understand.

Inspect the public source excerpt ↗

C / THE EVIDENCE

Leave a trace
you can question.

Measurements become useful when the configuration, source and limits stay attached. Follow the evidence into a real experiment below.

Inspect an inference result ↓

D / THE PUBLIC EDGE

A public record
has a boundary.

This proposal separates public project evidence from owner decisions and private runtime data. The journal below contains no fabricated updates.

Approach the journal ↓

§02 / SELECTED RESEARCH RECORDS

The result.
The route to it.

Inspectable work, its source, and the limits that travel with it.

REC / 01MODEL DEVELOPMENTSOURCE-REPORTED · HISTORICAL

ABLE—
Origin.

A language model, starting from initial weights.

29.9 million parameters. Custom architecture and tokenizer work. Trained on a consumer GPU with TinyStories.

Inspect source ↗
PYTORCHCUDATRAINING

FIG. 01 / SIX REPORTED VALIDATION CHECKPOINTS

ABLE-Origin validation lossSix historical source-reported checkpoints, linearly spaced by training step: step 500 loss 2.379; 1000 loss 1.964; 1500 loss 1.837; 42000 loss 1.374; 60000 loss 1.341 best; 61894 loss 1.344 final. Dashed lines are visual guides, not a complete training trace.2.42.01.61.2020k40k60kTRAINING STEP →BEST / 1.34160,000 STEPSABLE-Origin validation loss, six historical checkpointsStep 500: 2.379; 1000: 1.964; 1500: 1.837; 42000: 1.374; 60000: 1.341 best; 61894: 1.344 final. Linear training-step axis. Dashed joins are guides, not a complete trace.2.42.01.61.2020k40k60kTRAINING STEP

Best reported: 1.341 at 60,000 steps

Partial checkpoints, not a full training curve.

August 2026 source report. Dashed joins guide the eye. Raw logs and independent reproduction are not bundled here.

Article and context ↗
Inspect the six data points
Historical reported validation loss
Training stepLossNote
5002.379Reported
1,0001.964Reported
1,5001.837Reported
42,0001.374Reported
60,0001.341Best reported
61,8941.344Final reported
REC / 02LOCAL INFERENCESOURCE-REPORTED · AUG 2026

27B.
8 GB.

A constraint becomes the experiment.

Quantization, offloading and decoding under a tight GPU memory budget. Different configurations, visible tradeoffs.

Read the experiment ↗
LLAMA.CPPGGUFCUDA
FIG. 02 / 27B CONFIGURATIONS — REPORTED TOKENS / SECOND
CPU ONLY
1.14
MTP ENABLED
1.70
22 GPU LAYERS + MTP
2.61
27B + 4B DRAFTFailed to load

No throughput measurement. A failure is not a zero.

RTX 3070 Ti 8 GB · i7-12700K · WSL2. Source-reported outcomes, not rerun for this atlas. Prompt counts, repetitions and timing details are incomplete; comparisons are illustrative.

Inspect source and limitations ↗
REC / 03LOCAL AGENT SYSTEMSPUBLIC SOURCE EXCERPT

Connect.
Keep boundaries.

Explorations in local model routes, persistent memory and application-level data controls.

Read about ABL Core ↗

§03 / THE INSTRUMENT

Different layers.
One inquiry.

A spectral index of the work. Select a layer to inspect its role.

01 / MODEL

From initial weights
to a language model.

Architecture, tokenizer and training work in ABLE-Origin.

Read the model experiment ↗

02 / SERVING

The memory budget
is part of the design.

Quantization, GPU offload and decoding experiments under hardware constraints.

Read the local inference article ↗

03 / SYSTEM

Useful boundaries
are visible boundaries.

Public source excerpts explore agent routes, memory and application data controls.

Inspect ABL Core ↗

04 / RECORD

A result needs
its surrounding facts.

Source, timing, failures, limitations and review belong beside the conclusion.

Read the latest lab notes →
INDEX OF PUBLIC WORKNO SERVICE HEALTH IS IMPLIED

§04 / THE PUBLIC JOURNAL

Behind every entry,
a door to cross.

Real work. Inspectable evidence. A considered public record.

LATEST ENGINEERING NOTES

Containment. Rejections. Boundaries.

A development log should carry its source, work date, review and limitations. Read the November 4 and 5 candidate results: owned process cleanup, Promise rejection regressions and service-identity fences.

Open the journal →OWNER DECISIONS AND PRIVATE RUNTIME DATA STAY OUTSIDE THIS PUBLIC DESIGN.

ABSENT BORN LABS / Asif

The experiment
continues.

Current public site ↗Project documentation ↗The person behind the lab ↗

An interactive atlas of the lab’s engineering work. Public writing and source links open the current published work. The drawings describe architecture. Dated lab notes carry the measured results.