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README.md CHANGED
@@ -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. 2 646 model×GPU verdicts across 98 models
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- and 27 cards, plus 954 full setup guides
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- (16 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 2026-08-28T12:13:44+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
@@ -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` | 2 646 | **the point of the dataset.** One row per model × GPU, with a verdict |
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- | `recipes` | 954 | full setup guides, markdown included, tagged by model / GPU / tool |
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  | `models` | 98 | the catalogue: licence, upstream repo, modality |
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  | `gpus` | 27 | the cards: VRAM, vendor, series |
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  | `benchmark_sources` | 158 | third-party measurements, normalised and cited |
@@ -65,10 +65,10 @@ The whole dataset turns on this column, so it is worth reading before using it.
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  | verdict | rows | meaning |
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  |---|---:|---|
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- | `verified` | 953 | somebody ran it on this exact card and wrote down how — there is a recipe behind the row |
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- | `fits` | 663 | inferred: the model's memory floor is under the card's VRAM, and the vendor is supported. Not measured |
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- | `unknown` | 456 | no floor established for this model, so no honest call can be made |
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- | `too_big` | 574 | 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*
@@ -123,7 +123,7 @@ extend to the measurements themselves, which belong to the sites named in
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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 2026-08-28T12:13:44+00:00},
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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. 2 646 model×GPU verdicts across 98 models
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+ and 27 cards, plus 973 full setup guides
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+ (17 MB of markdown) written against specific hardware.
38
 
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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 2026-08-31T18:39:19+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` | 2 646 | **the point of the dataset.** One row per model × GPU, with a verdict |
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+ | `recipes` | 973 | full setup guides, markdown included, tagged by model / GPU / tool |
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  | `models` | 98 | the catalogue: licence, upstream repo, modality |
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  | `gpus` | 27 | the cards: VRAM, vendor, series |
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  | `benchmark_sources` | 158 | third-party measurements, normalised and cited |
 
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  | verdict | rows | meaning |
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  |---|---:|---|
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+ | `verified` | 972 | 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` | 455 | no floor established for this model, so no honest call can be made |
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+ | `too_big` | 560 | 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 2026-08-31T18:39:19+00:00},
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  year = {2026}
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  }
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  ```
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