Skip to main content

gpyou

Command-line client for GPYou: prepaid GPUs for fine-tuning and serving open models.

uv tool install gpyou     # or: pipx install gpyou
gpyou signup              # or: gpyou login
gpyou                     # interactive menu

The sign-in session is kept in the OS keychain. On systems without one (headless Linux, WSL) it is kept in ~/.config/gpyou/sessions.json, readable only by you; gpyou logout ends it.

Any public Hugging Face model that fits one GPU can be fine-tuned and served (--model Qwen/Qwen3-8B). Qwen/Qwen2.5-1.5B-Instruct and Qwen/Qwen2.5-7B-Instruct are pinned and train on every assistant turn; any other model trains with its own chat template on the final assistant turn. Fine-tuning uses one fixed recipe: 1 epoch, learning rate 2e-4, LoRA r 16 / alpha 32 on all linear layers, 8 conversations per step per GPU, conversations up to 2,048 tokens (longer ones are rejected, not truncated), and loss on every assistant turn only. gpyou finetune validate prints it with your dataset.

The CLI talks to https://app.gpyou.ai. Set GPYOU_API_URL to use another GPYou service, such as a development server.

Metadata

Release files for gpyou 0.2.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for gpyou 0.2.0
File Size Uploaded
gpyou-0.2.0.tar.gz 27.5 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for gpyou 0.2.0
File Interpreter ABI Platform
gpyou-0.2.0-py3-none-any.whl Python 3 none any Details

Total release size: 61.1 kB

Release files / gpyou-0.2.0.tar.gz

Download URL gpyou-0.2.0.tar.gz
Size 27.5 kB
Tags Source
SHA-256 checksum
How to use checksums
0b4de21d0d7c432d93e3b463c94aecc5bd66be1d6854892bb31eda6862009309
BLAKE2b-256 checksum
How to use checksums
830ba675f2f723553144485a2aca9074e44dfb2ed124be269fc24380045b768a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 7, 2026.

Transparency log

Release files / gpyou-0.2.0-py3-none-any.whl

Download URL gpyou-0.2.0-py3-none-any.whl
Size 33.6 kB
Tags Python 3
SHA-256 checksum
How to use checksums
d24af73bc9fa8d3a3d532cfcf2b2e84a230f5c36cbeac2d1cf4f47cc8df76b18
BLAKE2b-256 checksum
How to use checksums
8e7408e84257fcc7495d02a2360b801d0fdcf266807534465a8366f460456e12
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 7, 2026.

Transparency log

Release history Release notifications | RSS feed

0.2.1

2 release files

This release

0.2.0 This release

2 release files

0.1.0

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page