Regenerate 2026-09-22: 100 models, 988 recipes, 166 benchmark rows

Adds Qwen-Image-2.1 and other models published since 2026-08-31. The card's 'measured by us' count now counts first-party sessions (9) instead of smeltcore.com URLs, which were reader submissions (3).

README.md

@@ -32,25 +32,25 @@ configs:
 # Self-Hosted AI — GPU Compatibility, Recipes and Catalogue
 
 Which open-weight AI models actually run on which consumer GPU, and what it takes
-to get them running. 2 646 model×GPU verdicts across 98 models
-and 27 cards, plus 973 full setup guides
-(17 MB of markdown) written against specific hardware.
+to get them running. 2 700 model×GPU verdicts across 100 models
+and 27 cards, plus 988 full setup guides
+(18 MB of markdown) written against specific hardware.
 
 This is the machine-readable form of [smeltcore.com](https://smeltcore.com). Every row carries a
 `url` back to the page it came from.
 
-Generated 2026-08-31T19:42:36+00:00 from the public read API (`https://api.smeltcore.com/api/v1`) — no private data, no
+Generated 2026-09-22T10:54:40+00:00 from the public read API (`https://api.smeltcore.com/api/v1`) — no private data, no
 credentials, reproducible by anyone.
 
 ## Configs
 
 | config | rows | what it is |
 |---|---:|---|
-| `compatibility` | 2 646 | **the point of the dataset.** One row per model × GPU, with a verdict |
-| `recipes` | 973 | full setup guides, markdown included, tagged by model / GPU / tool |
-| `models` | 98 | the catalogue: licence, upstream repo, modality |
+| `compatibility` | 2 700 | **the point of the dataset.** One row per model × GPU, with a verdict |
+| `recipes` | 988 | full setup guides, markdown included, tagged by model / GPU / tool |
+| `models` | 100 | the catalogue: licence, upstream repo, modality |
 | `gpus` | 27 | the cards: VRAM, vendor, series |
-| `benchmark_sources` | 158 | third-party measurements, normalised and cited |
+| `benchmark_sources` | 166 | third-party measurements, normalised and cited |
 
 ```python
 from datasets import load_dataset
@@ -65,10 +65,10 @@ The whole dataset turns on this column, so it is worth reading before using it.
 
 | verdict | rows | meaning |
 |---|---:|---|
-| `verified` | 972 | somebody ran it on this exact card and wrote down how — there is a recipe behind the row |
-| `fits` | 659 | inferred: the model's memory floor is under the card's VRAM, and the vendor is supported. Not measured |
-| `unknown` | 455 | no floor established for this model, so no honest call can be made |
-| `too_big` | 560 | the memory floor exceeds this card. This is the one verdict asserted from anywhere, not only from same-vendor evidence |
+| `verified` | 987 | somebody ran it on this exact card and wrote down how — there is a recipe behind the row |
+| `fits` | 676 | inferred: the model's memory floor is under the card's VRAM, and the vendor is supported. Not measured |
+| `unknown` | 467 | no floor established for this model, so no honest call can be made |
+| `too_big` | 570 | the memory floor exceeds this card. This is the one verdict asserted from anywhere, not only from same-vendor evidence |
 
 The asymmetry between `fits` and `too_big` is deliberate: a model is only called
 runnable on evidence from the same vendor's hardware, but it is called *not*
@@ -85,8 +85,10 @@ offered on — not a measured peak. Measured peaks, where they exist, are in
 **`recipes` is first-party.** Written for this catalogue against named hardware,
 with the quantization, runtime and settings each one was written for.
 
-**`benchmark_sources` is not.** 111 of 158 rows come from a
-single third-party site (`www.hardware-corner.net`), and 4 were measured by us.
+**`benchmark_sources` is not.** 111 of 166 rows come from a
+single third-party site (`www.hardware-corner.net`); 9 were measured by us, each linking to its
+raw session in [Smeltcore/measurements](https://huggingface.co/datasets/Smeltcore/measurements), and
+3 were submitted by readers through the site.
 It is published as a **citation index, not as our benchmarks**: what this project
 contributes is the normalisation — one model slug, one GPU slug, one unit
 convention — and every row is required to carry `source_url` back to whoever did
@@ -100,7 +102,7 @@ statistical confidence interval.
 
 - 27 consumer cards — NVIDIA, AMD and Apple silicon. **No datacenter GPUs**
   (no H100, no A100): this catalogue is about hardware people own.
-- 8 modalities: llm (38), multimodal (18), image (14), video (14), tts (6), 3d (4), music (2), specialized (2).
+- 8 modalities: llm (38), multimodal (18), image (15), video (14), tts (6), 3d (4), music (3), specialized (2).
 - Verdicts are about **whether it runs**, not how well it performs. There is no
   quality benchmark here and no leaderboard.
 - The catalogue moves — models get added, quantizations appear weekly. A stale copy
@@ -123,7 +125,7 @@ extend to the measurements themselves, which belong to the sites named in
   title  = {Self-Hosted AI — GPU Compatibility, Recipes and Catalogue},
   author = {smeltcore},
   url    = {https://smeltcore.com},
-  note   = {Generated 2026-08-31T19:42:36+00:00},
+  note   = {Generated 2026-09-22T10:54:40+00:00},
   year   = {2026}
 }
 ```

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