# eugeneyan/open-llms

📋 A list of open LLMs available for commercial use.

Repository: https://github.com/eugeneyan/open-llms
Canonical: https://ross.abutalabs.com/products/open-llms
License: Apache-2.0
License Family: permissive
Topics: commercial, large-language-models, llm, llms
Last push: 2025-02-13T06:37:12+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 6, release rhythm 35, longevity 86
- inputs: {"age_days": 1216, "days_push": 566, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 12857, forks 985 (observed 2026-08-28T04:10:59.940637+00:00)

## What it is
A curated list of open-source large language models that are licensed for commercial use, such as Apache 2.0, MIT, and OpenRAIL-M. It catalogs models with release dates, checkpoints, papers, parameter counts, context lengths, and licenses.

## Use cases
- find open LLMs I can use commercially
- compare open-source LLM licenses and parameter counts
- locate checkpoints for commercially usable language models
- pick an LLM with a permissive license for my product
- research available open large language models

## When to choose
- you need a permissively licensed LLM for a commercial product
- you want a quick comparison of open LLM options
- you're researching the open LLM ecosystem

## When to avoid
- you need a tool or runtime for running LLMs, not a list
- you need models with non-commercial or research-only licenses
- you need fine-tuning or training infrastructure

## Facets
- artifact type: learning-resource
- maturity: active
- function: llm-inference
- domain: large-language-models, artificial-intelligence, awesome-lists
- platform: cross-platform
- tags: awesome-list, open-source-models, commercial-licenses, model-catalog

## Member repositories
- eugeneyan/open-llms (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:59.940637+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:13:43.962141+00:00, confidence not recorded.
  - readme: https://github.com/eugeneyan/open-llms (fetched 2026-08-28T04:10:59.940637+00:00, sha 89721d0183d7)
- Data as of 2026-08-30T08:39:29.467469+00:00.