Upload folder using huggingface_hub

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. 2 619 model×GPU verdicts across 97 models
-and 27 cards, plus 946 full setup guides
+to get them running. 2 646 model×GPU verdicts across 98 models
+and 27 cards, plus 954 full setup guides
 (16 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 2026-08-18T11:25:50+00:00 from the public read API (`https://api.smeltcore.com/api/v1`) — no private data, no
+Generated 2026-08-28T12:13:44+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` | 2 619 | **the point of the dataset.** One row per model × GPU, with a verdict |
-| `recipes` | 946 | full setup guides, markdown included, tagged by model / GPU / tool |
-| `models` | 97 | the catalogue: licence, upstream repo, modality |
+| `compatibility` | 2 646 | **the point of the dataset.** One row per model × GPU, with a verdict |
+| `recipes` | 954 | full setup guides, markdown included, tagged by model / GPU / tool |
+| `models` | 98 | the catalogue: licence, upstream repo, modality |
 | `gpus` | 27 | the cards: VRAM, vendor, series |
-| `benchmark_sources` | 157 | third-party measurements, normalised and cited |
+| `benchmark_sources` | 158 | 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` | 945 | somebody ran it on this exact card and wrote down how — there is a recipe behind the row |
+| `verified` | 953 | somebody ran it on this exact card and wrote down how — there is a recipe behind the row |
 | `fits` | 663 | 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` | 556 | the memory floor exceeds this card. This is the one verdict asserted from anywhere, not only from same-vendor evidence |
+| `unknown` | 456 | no floor established for this model, so no honest call can be made |
+| `too_big` | 574 | 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*
@@ -85,7 +85,7 @@ 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 157 rows come from a
+**`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.
 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
@@ -100,7 +100,7 @@ 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 (37), multimodal (18), image (14), video (14), tts (6), 3d (4), music (2), specialized (2).
+- 8 modalities: llm (38), multimodal (18), image (14), video (14), tts (6), 3d (4), music (2), 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 +123,7 @@ 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 2026-08-18T11:25:50+00:00},
+  note   = {Generated 2026-08-28T12:13:44+00:00},
   year   = {2026}
 }
 ```

data/benchmark_sources.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ff3f187dfc78bb2f4584deb4a10258d90a11c05a3032afc8b89e855ed9471ee6
-size 14673
+oid sha256:8dfd6099bae3e5215d588eb9f08d010f8b6d01d3fb177bd708a233dbd18a277d
+size 14588

data/compatibility.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7c95078c3c90d31b0f3b662c072db71ad64e481ca9800df414305f2a45ae8e21
-size 43728
+oid sha256:95a6a2b70d2581e79c23f1ebd031c94a9184251665de24b8799a3c803d40a763
+size 42957

data/gpus.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:12630076c308165b934df254b733c1e0d23ad7226407f32d57c07a1f0478fb4a
-size 3352
+oid sha256:984288d68251af5834d2f6c21f48da5bb8f27c4d7330f8ad7184ad0b2effbacf
+size 3360

data/models.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9d7ac70225d2406adc8a1b84d516760503a09600850c5aaf2073bc7992c3d563
-size 32791
+oid sha256:497dbabd434a9cae30c22b03066dd341bc3ba3899ebfef39a97d9d9167d91d37
+size 33192

data/recipes.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3284d2c6a9ae89c6c5b29f29ec30c5b3380542fc518f0e9c2f46e0b45aec99d5
-size 2298335
+oid sha256:ced13bdbd3db2921b4445bd2c5d472ba6076873e9808eca282bbdbdfe9277b2a
+size 2370012