---
license: cc-by-4.0
pretty_name: localLLMrig open data
language:
  - en
tags:
  - local-llm
  - vram
  - gpu
  - hardware
  - llama.cpp
  - quantization
size_categories:
  - 1K<n<10K
configs:
  - config_name: fit_estimates
    data_files: data/fit-estimates.csv
  - config_name: hardware
    data_files: data/hardware.csv
  - config_name: models
    data_files: data/models.csv
  - config_name: gpu_price_per_gb_vram
    data_files: data/gpu-price-per-gb-vram.csv
  - config_name: showdown_outputs
    data_files: data/showdown/outputs-2026-10-17.csv
  - config_name: showdown_speeds
    data_files: data/showdown/speeds-2026-10-17.csv
---

# Data card: localLLMrig open data (snapshot 2026-10-17)

## Summary
Memory needs of 12 open-weight LLMs at four quantizations, 29 hardware options (GPUs, PC builds, Macs, laptops) with sourced EU prices, a 1,392-row model × hardware × quant fit and estimated-speed matrix, and a 60-output small-model showdown run on CPU.

## Intended use
- Planning which hardware can hold which model.
- Comparing price per GB of VRAM with the price type in view.
- Reading real small-model outputs side by side.

## Not intended for
- Treating estimated tok/s as benchmark results.
- Price guarantees. Prices are dated snapshots.

## Provenance
- Models and hardware: localllmrig.com public API (`/api/models`, `/api/hardware`), fetched 2026-10-17.
- Prices: pcprice.watch (used sold-listing medians), GPU PRIX and PriceSquirrel (EU new listings), Apple Store Belgium, ASUS eStore Belgium; URLs per row. Some rows are labelled estimates.
- Showdown: run by localLLMrig on 17 Oct 2026; see METHOD.md §6.
- Community measurements: third-party, quoted with source and caveats.

## Fields with an `estimated` flag
`need_gb_est`, `usable_gb_assumed`, `est_decode_tok_s`, `mem_*_total_gb_est`, `price_usd_fx_estimate`, and PC build totals.

## Known limitations
- Single formula for decode speed; no prefill modelling; no runtime differences beyond a vendor utilization factor.
- AMD utilization (0.40) is a conservative assumption.
- Laptops with unpublished GPU-addressable memory are unscored.
- Showdown speeds come from a shared CPU VM and vary per prompt.
- Only 4 of 10 showdown prompts are checked; the rest are unscored.

## License
CC BY 4.0. Model outputs remain subject to each model's license where applicable.

## Maintainer
localLLMrig, https://localllmrig.com. Corrections via GitHub issues.