Dataset Viewer
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
id: string
hfId: string
name: string
author: string
description: string
parameterCount: double
architecture: string
license: string
contextLength: int64
isFeatured: int64
isChatModel: int64
pipelineTag: string
category: string
moe: struct<totalParameters: double, activeParameters: double, numExperts: int64, expertsPerToken: int64>
child 0, totalParameters: double
child 1, activeParameters: double
child 2, numExperts: int64
child 3, expertsPerToken: int64
quantizations: list<item: struct<quantType: string, fileSizeGb: double, vramRequiredGb: double, ramRequiredGb: doub (... 147 chars omitted)
child 0, item: struct<quantType: string, fileSizeGb: double, vramRequiredGb: double, ramRequiredGb: double, bitsPer (... 135 chars omitted)
child 0, quantType: string
child 1, fileSizeGb: double
child 2, vramRequiredGb: double
child 3, ramRequiredGb: double
child 4, bitsPerWeight: double
child 5, qualityScore: double
child 6, hfRepoId: string
child 7, hfFilename: string
child 8, downloadUrl: string
child 9, checksum: null
child 10, exactFileBytes: int64
isDefault: bool
hfDownloads: int64
hfLikes: int64
trendingScore: null
lastModified: string
gated: string
tags: list<item: string>
child 0, item: string
hfLastSynced: string
baseModel: string
review: string
uncensored: bool
provenance: string
useCases: list<item: string>
child 0, item: string
nonCommercial: bool
submissions: list<item: struct<id: string, modelId: string, gpu: string, vramGb: int64, quant: string, contextTok (... 147 chars omitted)
child 0, item: struct<id: string, modelId: string, gpu: string, vramGb: int64, quant: string, contextTokens: int64, (... 135 chars omitted)
child 0, id: string
child 1, modelId: string
child 2, gpu: string
child 3, vramGb: int64
child 4, quant: string
child 5, contextTokens: int64
child 6, tps: double
child 7, runtime: string
child 8, os: string
child 9, cpu: string
child 10, ram: string
child 11, source: string
child 12, reportedAt: timestamp[s]
child 13, secondsPerImage: double
_meta: struct<description: string, lastUpdated: timestamp[s], schema: string, noteOnPrivacy: string>
child 0, description: string
child 1, lastUpdated: timestamp[s]
child 2, schema: string
child 3, noteOnPrivacy: string
to
{'_meta': {'description': Value('string'), 'lastUpdated': Value('timestamp[s]'), 'schema': Value('string'), 'noteOnPrivacy': Value('string')}, 'submissions': List({'id': Value('string'), 'modelId': Value('string'), 'gpu': Value('string'), 'vramGb': Value('int64'), 'quant': Value('string'), 'contextTokens': Value('int64'), 'tps': Value('float64'), 'runtime': Value('string'), 'os': Value('string'), 'cpu': Value('string'), 'ram': Value('string'), 'source': Value('string'), 'reportedAt': Value('timestamp[s]'), 'secondsPerImage': Value('float64')})}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
return get_rows(
^^^^^^^^^
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/utils.py", line 77, in get_rows
rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 299, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
id: string
hfId: string
name: string
author: string
description: string
parameterCount: double
architecture: string
license: string
contextLength: int64
isFeatured: int64
isChatModel: int64
pipelineTag: string
category: string
moe: struct<totalParameters: double, activeParameters: double, numExperts: int64, expertsPerToken: int64>
child 0, totalParameters: double
child 1, activeParameters: double
child 2, numExperts: int64
child 3, expertsPerToken: int64
quantizations: list<item: struct<quantType: string, fileSizeGb: double, vramRequiredGb: double, ramRequiredGb: doub (... 147 chars omitted)
child 0, item: struct<quantType: string, fileSizeGb: double, vramRequiredGb: double, ramRequiredGb: double, bitsPer (... 135 chars omitted)
child 0, quantType: string
child 1, fileSizeGb: double
child 2, vramRequiredGb: double
child 3, ramRequiredGb: double
child 4, bitsPerWeight: double
child 5, qualityScore: double
child 6, hfRepoId: string
child 7, hfFilename: string
child 8, downloadUrl: string
child 9, checksum: null
child 10, exactFileBytes: int64
isDefault: bool
hfDownloads: int64
hfLikes: int64
trendingScore: null
lastModified: string
gated: string
tags: list<item: string>
child 0, item: string
hfLastSynced: string
baseModel: string
review: string
uncensored: bool
provenance: string
useCases: list<item: string>
child 0, item: string
nonCommercial: bool
submissions: list<item: struct<id: string, modelId: string, gpu: string, vramGb: int64, quant: string, contextTok (... 147 chars omitted)
child 0, item: struct<id: string, modelId: string, gpu: string, vramGb: int64, quant: string, contextTokens: int64, (... 135 chars omitted)
child 0, id: string
child 1, modelId: string
child 2, gpu: string
child 3, vramGb: int64
child 4, quant: string
child 5, contextTokens: int64
child 6, tps: double
child 7, runtime: string
child 8, os: string
child 9, cpu: string
child 10, ram: string
child 11, source: string
child 12, reportedAt: timestamp[s]
child 13, secondsPerImage: double
_meta: struct<description: string, lastUpdated: timestamp[s], schema: string, noteOnPrivacy: string>
child 0, description: string
child 1, lastUpdated: timestamp[s]
child 2, schema: string
child 3, noteOnPrivacy: string
to
{'_meta': {'description': Value('string'), 'lastUpdated': Value('timestamp[s]'), 'schema': Value('string'), 'noteOnPrivacy': Value('string')}, 'submissions': List({'id': Value('string'), 'modelId': Value('string'), 'gpu': Value('string'), 'vramGb': Value('int64'), 'quant': Value('string'), 'contextTokens': Value('int64'), 'tps': Value('float64'), 'runtime': Value('string'), 'os': Value('string'), 'cpu': Value('string'), 'ram': Value('string'), 'source': Value('string'), 'reportedAt': Value('timestamp[s]'), 'secondsPerImage': Value('float64')})}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
RunThisModel.com — GPU Compatibility Database
A curated, machine-readable dataset of 145+ open-source AI models with exact VRAM requirements per quantization, plus crowd-sourced inference benchmarks across 100+ consumer and datacenter GPUs.
Maintained by RunThisModel.com — refreshed daily.
Files
| File | Description |
|---|---|
curated-models.json |
145+ models with full quantization table, license, HF download counts, file sizes |
community-benchmarks.json |
User-submitted tok/sec measurements across real GPUs |
Schema
curated-models.json
Each entry: { id, name, author, parameterCount, category, license, quantizations[] }
where quantizations[] is [{ quantType, fileSizeGb, vramRequiredGb, ramRequiredGb, qualityScore, bitsPerWeight }].
community-benchmarks.json
Each entry: { modelId, gpu, quantType, tokensPerSec, contextLength, submittedAt }.
Use cases
- Train a "what should I run on my GPU?" classifier
- Benchmark new quantization techniques against real hardware
- Power local-LLM tooling (LM Studio plugins, Ollama recipes)
- Feed ranking systems for model recommendation
Live tool
If you want compatibility scoring with a UI: runthismodel.com — auto-detects your GPU and grades 145+ models S through F.
License
CC-BY-4.0. Use freely with attribution.
Citation
@misc{runthismodel2026,
title={RunThisModel: GPU Compatibility Database},
author={RunThisModel.com},
year={2026},
url={https://huggingface.co/datasets/williamjiamin/runthismodel-gpu-compatibility}
}
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