Datasets:

localllmrig
/

localllmrig-open-data

---
license: cc-by-4.0
pretty_name: "localLLMrig open data: local LLM memory needs, hardware and EU GPU prices"
language: [en]
tags: [local-llm, vram, gpu, llama.cpp, quantization, hardware, benchmark, prices]
size_categories: [1K<n<10K]
configs:
- config_name: fit_estimates
  data_files: data/fit-estimates.csv
- config_name: models
  data_files: data/models.csv
- config_name: hardware
  data_files: data/hardware.csv
- config_name: gpu_price_per_gb_vram
  data_files: data/gpu-price-per-gb-vram.csv
---
# localLLMrig open data: local LLM memory needs, hardware, EU GPU prices and a small-model showdown

Open, citable data behind [localllmrig.com](https://localllmrig.com/open-data?utm_source=huggingface&utm_medium=dataset&utm_campaign=open_data): how much memory popular open-weight LLMs need, which GPUs and Macs they fit on, estimated decode speed, EU GPU prices with sources, and real outputs from six small open models on ten prompts.

[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.23535233.svg)](https://doi.org/10.5281/zenodo.23535233)

**License:** [CC BY 4.0](LICENSE). Credit line: `Data: localLLMrig (https://localllmrig.com), CC BY 4.0`.

**Cite as:** localLLMrig open data, CC BY 4.0 — https://localllmrig.com/open-data?utm_source=huggingface
## Live site exports (`data/site-exports/`)
The same files the site publishes at [localllmrig.com/open-data](https://localllmrig.com/open-data?utm_source=huggingface&utm_medium=dataset&utm_campaign=open_data), copied as of 21 Oct 2026:
| File | What it is |
|---|---|
| `fit.csv` | Which open-weight model fits on which machine, at each quant (estimate) |
| `gpu-price-per-gb-vram.csv` | Graphics card prices per GB of VRAM, used and new, plus Macs (also at [/data/gpu-price-per-gb-vram](https://localllmrig.com/data/gpu-price-per-gb-vram?utm_source=huggingface&utm_medium=dataset&utm_campaign=open_data)) |
| `hardware.csv` / `hardware.json` | Machines and graphics cards with price, date and source |
| `models.csv` / `models.json` | Open-weight models and their sizes |
| `showdown/data.json` | Free LLM Showdown: every prompt and answer |
| `showdown/speeds.csv` | Free LLM Showdown: speeds and scores |
## How it's updated
- The site is the source of truth. When prices or models change on localllmrig.com, the files at `/open-data/*` change with them.
- This repository takes a dated snapshot of those files. Each snapshot is one commit, with the date in the commit message; `price_as_of` / `date` columns give the date per row.
- Prices move. Always check the `source_url` of a row before buying anything.
- To pull the latest files yourself: `curl -O https://localllmrig.com/open-data/fit.csv` (same for the other file names).

> **Estimates are not measurements.** Every memory figure and every `est_decode_tok_s` value comes from a published formula (see [METHOD.md](METHOD.md)). The only measured speeds are the showdown CPU numbers (one run, CPU-only cloud VM, not representative of GPU speed) and the third-party community rows, which are labelled with their source.
## Files
| File | Rows | What it is |
|---|---|---|
| `data/models.csv` | 12 | Model architecture (layers, KV heads, head dim, max context) and estimated memory need at 8,192 tokens for Q4_K_M, Q5, Q8 and FP16. |
| `data/hardware.csv` | 29 | GPUs, PC builds, Macs and laptops: memory, bandwidth (with source where stated), price in EUR incl. VAT with label, date and source URL. USD is an FX estimate. |
| `data/gpu-price-per-gb-vram.csv` | 7 | Single cards ranked by EUR per GB of VRAM. Used medians and new in-stock lows are labelled; do not compare them as if they were the same thing. |
| `data/fit-estimates.csv` | 1,392 | Every model × hardware × quant: estimated need, assumed usable memory, fit (`full`, `offload`, `no`, `unscored`) and estimated decode tok/s. |
| `data/community-measurements.csv` | 3 | Third-party measurements quoted on the site, with source and caveats. Not localLLMrig measurements. |
| `data/showdown/` | 6 models × 10 prompts | Free LLM Showdown (17 Oct 2026): prompts, full unedited outputs, hand checks on 4 objective prompts, CPU speeds, GGUF files with sha256. |
| `data/localllmrig-data.json` | — | Everything above in one JSON file, plus the formula constants. |
| `snapshot/` | — | Raw inputs: `/api/models` and `/api/hardware` as fetched on 2026-10-17, and the showdown JSON. |
| `scripts/build.py` | — | Rebuilds `data/` from `snapshot/` (or `--fetch` from the live API). Python 3 standard library only. |
| `scripts/validate.py` | — | Cross-checks the fit/speed matrix against the live `/api/recommend` endpoint. |
## Quick start
```bash
python3 scripts/build.py          # rebuild from the snapshot
python3 scripts/build.py --fetch  # refresh from https://localllmrig.com/api/*
python3 scripts/validate.py       # compare with the live recommender
```
```python
import pandas as pd
fit = pd.read_csv("data/fit-estimates.csv")
fit.query("model_id == 'qwen2.5-32b' and quant == 'Q4' and fit == 'full'")
```
## Snapshot
- Prices: as of 14–17 Oct 2026 (per row `price_as_of`). Prices move; check the source URL before buying anything.
- Formula version: localLLMrig `lib/formula.ts`, priceAsOf 2026-10-14.
- Showdown run: 17 Oct 2026, llama.cpp b11707, Q4_K_M GGUFs, temperature 0.
## Cite
Archived on Zenodo: version DOI [10.5281/zenodo.23535233](https://doi.org/10.5281/zenodo.23535233) (snapshot 2026-10-21); concept DOI [10.5281/zenodo.23535232](https://doi.org/10.5281/zenodo.23535232) (always resolves to the latest version).
```
localLLMrig (2026). localLLMrig open data: local LLM memory, hardware and EU GPU prices (snapshot 2026-10-17). https://localllmrig.com. CC BY 4.0. https://doi.org/10.5281/zenodo.23535232
```
See also [CITATION.cff](CITATION.cff).
## Licensing notes
- The compilation, formula outputs and documentation are CC BY 4.0.
- Showdown answers are outputs of third-party models. Each model's own license applies to use of that model (see `license` and `license_url` in `data/showdown/speeds-2026-10-17.csv`). Llama 3.2 is licensed under the Llama 3.2 Community License, Copyright © Meta Platforms, Inc. All Rights Reserved. Gemma is provided under the Gemma Terms of Use (ai.google.dev/gemma/terms).
- Prices are facts recorded from the named public sources, with links. Spec figures link to vendor pages where available.

## Corrections

Open an issue with the row, what is wrong, and a source link. Corrections are applied to the site and the next snapshot.

	---
	license: cc-by-4.0
	pretty_name: "localLLMrig open data: local LLM memory needs, hardware and EU GPU prices"
	language: [en]
	tags: [local-llm, vram, gpu, llama.cpp, quantization, hardware, benchmark, prices]
	size_categories: [1K<n<10K]
	configs:
	- config_name: fit_estimates
	data_files: data/fit-estimates.csv
	- config_name: models
	data_files: data/models.csv
	- config_name: hardware
	data_files: data/hardware.csv
	- config_name: gpu_price_per_gb_vram
	data_files: data/gpu-price-per-gb-vram.csv
	---

	# localLLMrig open data: local LLM memory needs, hardware, EU GPU prices and a small-model showdown

	Open, citable data behind [localllmrig.com](https://localllmrig.com/open-data?utm_source=huggingface&utm_medium=dataset&utm_campaign=open_data): how much memory popular open-weight LLMs need, which GPUs and Macs they fit on, estimated decode speed, EU GPU prices with sources, and real outputs from six small open models on ten prompts.

	[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.23535233.svg)](https://doi.org/10.5281/zenodo.23535233)

	License: [CC BY 4.0](LICENSE). Credit line: `Data: localLLMrig (https://localllmrig.com), CC BY 4.0`.

	Cite as: localLLMrig open data, CC BY 4.0 — https://localllmrig.com/open-data?utm_source=huggingface

	## Live site exports (`data/site-exports/`)

	The same files the site publishes at [localllmrig.com/open-data](https://localllmrig.com/open-data?utm_source=huggingface&utm_medium=dataset&utm_campaign=open_data), copied as of 21 Oct 2026:

	\| File \| What it is \|
	\|---\|---\|
	\| `fit.csv` \| Which open-weight model fits on which machine, at each quant (estimate) \|
	\| `gpu-price-per-gb-vram.csv` \| Graphics card prices per GB of VRAM, used and new, plus Macs (also at [/data/gpu-price-per-gb-vram](https://localllmrig.com/data/gpu-price-per-gb-vram?utm_source=huggingface&utm_medium=dataset&utm_campaign=open_data)) \|
	\| `hardware.csv` / `hardware.json` \| Machines and graphics cards with price, date and source \|
	\| `models.csv` / `models.json` \| Open-weight models and their sizes \|
	\| `showdown/data.json` \| Free LLM Showdown: every prompt and answer \|
	\| `showdown/speeds.csv` \| Free LLM Showdown: speeds and scores \|

	## How it's updated

	- The site is the source of truth. When prices or models change on localllmrig.com, the files at `/open-data/*` change with them.
	- This repository takes a dated snapshot of those files. Each snapshot is one commit, with the date in the commit message; `price_as_of` / `date` columns give the date per row.
	- Prices move. Always check the `source_url` of a row before buying anything.
	- To pull the latest files yourself: `curl -O https://localllmrig.com/open-data/fit.csv` (same for the other file names).

	> Estimates are not measurements. Every memory figure and every `est_decode_tok_s` value comes from a published formula (see [METHOD.md](METHOD.md)). The only measured speeds are the showdown CPU numbers (one run, CPU-only cloud VM, not representative of GPU speed) and the third-party community rows, which are labelled with their source.

	## Files

	\| File \| Rows \| What it is \|
	\|---\|---\|---\|
	\| `data/models.csv` \| 12 \| Model architecture (layers, KV heads, head dim, max context) and estimated memory need at 8,192 tokens for Q4_K_M, Q5, Q8 and FP16. \|
	\| `data/hardware.csv` \| 29 \| GPUs, PC builds, Macs and laptops: memory, bandwidth (with source where stated), price in EUR incl. VAT with label, date and source URL. USD is an FX estimate. \|
	\| `data/gpu-price-per-gb-vram.csv` \| 7 \| Single cards ranked by EUR per GB of VRAM. Used medians and new in-stock lows are labelled; do not compare them as if they were the same thing. \|
	\| `data/fit-estimates.csv` \| 1,392 \| Every model × hardware × quant: estimated need, assumed usable memory, fit (`full`, `offload`, `no`, `unscored`) and estimated decode tok/s. \|
	\| `data/community-measurements.csv` \| 3 \| Third-party measurements quoted on the site, with source and caveats. Not localLLMrig measurements. \|
	\| `data/showdown/` \| 6 models × 10 prompts \| Free LLM Showdown (17 Oct 2026): prompts, full unedited outputs, hand checks on 4 objective prompts, CPU speeds, GGUF files with sha256. \|
	\| `data/localllmrig-data.json` \| — \| Everything above in one JSON file, plus the formula constants. \|
	\| `snapshot/` \| — \| Raw inputs: `/api/models` and `/api/hardware` as fetched on 2026-10-17, and the showdown JSON. \|
	\| `scripts/build.py` \| — \| Rebuilds `data/` from `snapshot/` (or `--fetch` from the live API). Python 3 standard library only. \|
	\| `scripts/validate.py` \| — \| Cross-checks the fit/speed matrix against the live `/api/recommend` endpoint. \|

	## Quick start

	```bash
	python3 scripts/build.py # rebuild from the snapshot
	python3 scripts/build.py --fetch # refresh from https://localllmrig.com/api/*
	python3 scripts/validate.py # compare with the live recommender
	```

	```python
	import pandas as pd
	fit = pd.read_csv("data/fit-estimates.csv")
	fit.query("model_id == 'qwen2.5-32b' and quant == 'Q4' and fit == 'full'")
	```

	## Snapshot

	- Prices: as of 14–17 Oct 2026 (per row `price_as_of`). Prices move; check the source URL before buying anything.
	- Formula version: localLLMrig `lib/formula.ts`, priceAsOf 2026-10-14.
	- Showdown run: 17 Oct 2026, llama.cpp b11707, Q4_K_M GGUFs, temperature 0.

	## Cite

	Archived on Zenodo: version DOI [10.5281/zenodo.23535233](https://doi.org/10.5281/zenodo.23535233) (snapshot 2026-10-21); concept DOI [10.5281/zenodo.23535232](https://doi.org/10.5281/zenodo.23535232) (always resolves to the latest version).

	```
	localLLMrig (2026). localLLMrig open data: local LLM memory, hardware and EU GPU prices (snapshot 2026-10-17). https://localllmrig.com. CC BY 4.0. https://doi.org/10.5281/zenodo.23535232
	```
	See also [CITATION.cff](CITATION.cff).

	## Licensing notes

	- The compilation, formula outputs and documentation are CC BY 4.0.
	- Showdown answers are outputs of third-party models. Each model's own license applies to use of that model (see `license` and `license_url` in `data/showdown/speeds-2026-10-17.csv`). Llama 3.2 is licensed under the Llama 3.2 Community License, Copyright © Meta Platforms, Inc. All Rights Reserved. Gemma is provided under the Gemma Terms of Use (ai.google.dev/gemma/terms).
	- Prices are facts recorded from the named public sources, with links. Spec figures link to vendor pages where available.

	## Corrections

	Open an issue with the row, what is wrong, and a source link. Corrections are applied to the site and the next snapshot.