Regenerate: Qwen-Image-2.1 on RX 7900 XTX (recipe 1009 of 1009)
Browse filesRegenerated from the public API after publishing the Qwen-Image-2.1 x RX 7900 XTX recipe. recipes 1008 -> 1009; compatibility: qwen-image-2-1 x rx-7900-xtx unknown -> verified, qwen-image-2-1 x rx-7800-xt unknown -> too_big (AMD floor 24 GB); gpus: rx-7900-xtx recipe_count 50 -> 51. Nothing else changed.
- README.md +7 -7
- data/compatibility.parquet +2 -2
- data/gpus.parquet +1 -1
- 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 1
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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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| 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` | 1
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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
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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` |
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| `too_big` |
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The asymmetry between `fits` and `too_big` is deliberate: a model is only called
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runnable on evidence from the same vendor's hardware, but it is called *not*
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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
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+
and 27 cards, plus 1 009 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 2026-09-24T19:45:21+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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| 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` | 1 009 | 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` | 1 008 | 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` | 461 | no floor established for this model, so no honest call can be made |
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| `too_big` | 572 | the memory floor exceeds this card. This is the one verdict asserted from anywhere, not only from same-vendor evidence |
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The asymmetry between `fits` and `too_big` is deliberate: a model is only called
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runnable on evidence from the same vendor's hardware, but it is called *not*
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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 2026-09-24T19:45:21+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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data/gpus.parquet
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data/recipes.parquet
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