Regenerate 2026-09-24: 1005 recipes (Qwen-Image-2.1 on 21 cards)
Browse filesAdds the Qwen-Image-2.1 24-32 GB and 8 GB tiers (6 recipes) and the 2026-09-24 refresh of all 21 Qwen-Image-2.1 pages. 100 models, 2700 compatibility rows, 166 benchmark rows (unchanged).
- README.md +6 -6
- data/compatibility.parquet +2 -2
- data/gpus.parquet +2 -2
- data/recipes.parquet +2 -2
README.md
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@@ -33,13 +33,13 @@ configs:
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Which open-weight AI models actually run on which consumer GPU, and what it takes
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to get them running. 2 700 model×GPU verdicts across 100 models
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and 27 cards, plus
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(19 MB of markdown) written against specific hardware.
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This is the machine-readable form of [smeltcore.com](https://smeltcore.com). Every row carries a
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`url` back to the page it came from.
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Generated 2026-09-
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credentials, reproducible by anyone.
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## Configs
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@@ -47,7 +47,7 @@ credentials, reproducible by anyone.
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| config | rows | what it is |
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|---|---:|---|
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| `compatibility` | 2 700 | **the point of the dataset.** One row per model × GPU, with a verdict |
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| `recipes` |
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| `models` | 100 | the catalogue: licence, upstream repo, modality |
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| `gpus` | 27 | the cards: VRAM, vendor, series |
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| `benchmark_sources` | 166 | third-party measurements, normalised and cited |
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| verdict | rows | meaning |
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|---|---:|---|
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| `verified` |
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| `fits` |
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| `unknown` | 467 | no floor established for this model, so no honest call can be made |
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| `too_big` | 570 | the memory floor exceeds this card. This is the one verdict asserted from anywhere, not only from same-vendor evidence |
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title = {Self-Hosted AI — GPU Compatibility, Recipes and Catalogue},
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author = {smeltcore},
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url = {https://smeltcore.com},
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note = {Generated 2026-09-
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year = {2026}
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}
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```
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Which open-weight AI models actually run on which consumer GPU, and what it takes
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to get them running. 2 700 model×GPU verdicts across 100 models
|
| 36 |
+
and 27 cards, plus 1 005 full setup guides
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(19 MB of markdown) written against specific hardware.
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This is the machine-readable form of [smeltcore.com](https://smeltcore.com). Every row carries a
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`url` back to the page it came from.
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+
Generated 2026-09-24T08:45:55+00:00 from the public read API (`https://api.smeltcore.com/api/v1`) — no private data, no
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credentials, reproducible by anyone.
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## Configs
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|
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| config | rows | what it is |
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| 48 |
|---|---:|---|
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| 49 |
| `compatibility` | 2 700 | **the point of the dataset.** One row per model × GPU, with a verdict |
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+
| `recipes` | 1 005 | full setup guides, markdown included, tagged by model / GPU / tool |
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| `models` | 100 | the catalogue: licence, upstream repo, modality |
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| `gpus` | 27 | the cards: VRAM, vendor, series |
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| `benchmark_sources` | 166 | third-party measurements, normalised and cited |
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| verdict | rows | meaning |
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|---|---:|---|
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| `verified` | 1 004 | somebody ran it on this exact card and wrote down how — there is a recipe behind the row |
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| `fits` | 659 | inferred: the model's memory floor is under the card's VRAM, and the vendor is supported. Not measured |
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| `unknown` | 467 | no floor established for this model, so no honest call can be made |
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| `too_big` | 570 | the memory floor exceeds this card. This is the one verdict asserted from anywhere, not only from same-vendor evidence |
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title = {Self-Hosted AI — GPU Compatibility, Recipes and Catalogue},
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author = {smeltcore},
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url = {https://smeltcore.com},
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+
note = {Generated 2026-09-24T08:45:55+00:00},
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year = {2026}
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}
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```
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data/compatibility.parquet
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size 44718
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data/gpus.parquet
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size 3360
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data/recipes.parquet
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size 3109495
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