Skip to main content

gfmodel

A simple Python client for the GitHub Models API. This package provides an easy-to-use interface to interact with GitHub's free, OpenAI-compatible inference API, allowing you to integrate large language models into your projects with a GitHub Personal Access Token (PAT) instead of a paid API key.

Installation

The package requires requests as a dependency. You can install it from PyPI using pip:

pip install gfmodel

Features

  • Easy Authentication: Log in with a GitHub Personal Access Token (PAT).
  • OpenAI Compatibility: Utilizes an OpenAI-compatible chat/completions endpoint.
  • Simple Interface: Methods to log in, set a model, and interact with the model via a simple chat function.

Usage

Here is a basic example of how to use the gfmodel client to chat with a model.

First, ensure you have a GitHub Personal Access Token with the models:read scope.

import gfmodel

# Replace with your actual GitHub PAT.
# You can also set this as a GITHUB_TOKEN environment variable.
gfmodel.login("YOUR_GITHUB_ACCESS_TOKEN")

# Get a list of all available models
gfmodel.show()

# Set the model to use.
gfmodel.set("openai/gpt-4o")

# Start a chat.
response = gfmodel.chat("Hello!")
print(response)

Available Models (as of 08/09/2025)

- openai/gpt-4.1
- openai/gpt-4.1-mini
- openai/gpt-4.1-nano
- openai/gpt-4o
- openai/gpt-4o-mini
- openai/gpt-5
- openai/gpt-5-chat
- openai/gpt-5-mini
- openai/gpt-5-nano
- openai/o1
- openai/o1-mini
- openai/o1-preview
- openai/o3
- openai/o3-mini
- openai/o4-mini
- openai/text-embedding-3-large
- openai/text-embedding-3-small
- ai21-labs/ai21-jamba-1.5-large
- ai21-labs/ai21-jamba-1.5-mini
- cohere/cohere-command-a
- cohere/cohere-command-r-08-2024
- cohere/cohere-command-r-plus-08-2024
- cohere/cohere-embed-v3-english
- cohere/cohere-embed-v3-multilingual
- core42/jais-30b-chat
- deepseek/deepseek-r1
- deepseek/deepseek-r1-0528
- deepseek/deepseek-v3-0324
- meta/llama-3.2-11b-vision-instruct
- meta/llama-3.2-90b-vision-instruct
- meta/llama-3.3-70b-instruct
- meta/llama-4-maverick-17b-128e-instruct-fp8
- meta/llama-4-scout-17b-16e-instruct
- meta/meta-llama-3.1-405b-instruct
- meta/meta-llama-3.1-8b-instruct
- mistral-ai/codestral-2501
- mistral-ai/ministral-3b
- mistral-ai/mistral-large-2411
- mistral-ai/mistral-medium-2505
- mistral-ai/mistral-nemo
- mistral-ai/mistral-small-2503
- xai/grok-3
- xai/grok-3-mini
- microsoft/mai-ds-r1
- microsoft/phi-3.5-mini-instruct
- microsoft/phi-3.5-moe-instruct
- microsoft/phi-3.5-vision-instruct
- microsoft/phi-3-medium-128k-instruct
- microsoft/phi-3-medium-4k-instruct
- microsoft/phi-3-mini-128k-instruct
- microsoft/phi-3-mini-4k-instruct
- microsoft/phi-3-small-128k-instruct
- microsoft/phi-3-small-8k-instruct
- microsoft/phi-4
- microsoft/phi-4-mini-instruct
- microsoft/phi-4-mini-reasoning
- microsoft/phi-4-multimodal-instruct
- microsoft/phi-4-reasoning

Project Details

Metadata

Release files for gfmodel 1.0.0

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

Source distribution (sdist)

Source distribution for gfmodel 1.0.0
File Size Uploaded
gfmodel-1.0.0.tar.gz 3.6 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for gfmodel 1.0.0
File Interpreter ABI Platform
gfmodel-1.0.0-py3-none-any.whl Python 3 none any Details

Total release size: 6.9 kB

Release files / gfmodel-1.0.0.tar.gz

Download URL gfmodel-1.0.0.tar.gz
Size 3.6 kB
Tags Source
SHA-256 checksum
How to use checksums
83bdb672d412d87ada1154e6f8f69cfe86b9fc4818ee093b656cb64a7de5ceff
BLAKE2b-256 checksum
How to use checksums
0473707242831845eccba4782ad33557c7e9163971e16122087f3e265f3141d0
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.13.2

Release files / gfmodel-1.0.0-py3-none-any.whl

Download URL gfmodel-1.0.0-py3-none-any.whl
Size 3.3 kB
Tags Python 3
SHA-256 checksum
How to use checksums
3e71b1c6dcf9ce7affd416607747d5834bcb3194866bb1d00ecd64dc9e4fe0f0
BLAKE2b-256 checksum
How to use checksums
da700be5347a938d8d4e492b6c27255e5979ada2033c01a7473c03060f9c7732
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.13.2

Release history Release notifications | RSS feed

This release

1.0.0 This release

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