# Troyanovsky/Local-LLM-Comparison-Colab-UI

Compare the performance of different LLM that can be deployed locally on consumer hardware. Run yourself with Colab WebUI.

Repository: https://github.com/Troyanovsky/Local-LLM-Comparison-Colab-UI
Canonical: https://ross.abutalabs.com/products/local-llm-comparison-colab-ui
Language: Jupyter Notebook
License Family: other
Topics: ai, gpt, llama, llm
Last push: 2026-01-13T07:02:41+00:00

## Health v2 (maintenance only)
Score: 57/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 62, release rhythm 35, longevity 86
- inputs: {"age_days": 1214, "days_push": 232, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1101, forks 156 (observed 2026-08-28T04:03:35.580303+00:00)

## What it is
A curated comparison of open-source LLMs that run on consumer hardware, with one-click Google Colab WebUI notebooks for trying each model. It includes benchmark-style scores for some smaller models (7B/13B) and Colab links for newer ones.

## Use cases
- compare local llm performance on consumer hardware
- try open-source llms in colab without setup
- find the best 7b or 13b model for my gpu
- run llama or mistral models with a webui in the browser
- evaluate which local chat model fits my use case

## When to choose
- you want to quickly demo local LLMs via Colab with no local setup
- you need a starting list of consumer-hardware-capable open models
- you want side-by-side scores for small models

## When to avoid
- you need rigorous, reproducible LLM benchmarks
- you want production inference infrastructure
- you need a maintained library with a license or API

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: llm-inference, benchmarking, developer-tools
- domain: large-language-models, artificial-intelligence, tutorials
- platform: python, cloud
- tags: colab, local-llm, gguf, model-comparison, webui, consumer-hardware, web-server

## Member repositories
- Troyanovsky/Local-LLM-Comparison-Colab-UI (main) score 57

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:35.580303+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 2026-08-30T06:45:41.777276+00:00, confidence not recorded.
  - readme: https://github.com/Troyanovsky/Local-LLM-Comparison-Colab-UI (fetched 2026-08-28T04:03:35.580303+00:00, sha bf24e18f52b7)
- Data as of 2026-08-30T08:39:29.467469+00:00.