hf
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-06.)
hf has 22 facts recorded in Dontopedia across 18 references, with 2 live disagreements.
Mostly:rdf:type(7), hosts outdated checkpoints(1), source of models and datasets(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (31)
Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.
hostedOnHosted on(8)
- Google Canine S
ex:google-canine-s - Karpathy Tinystories Gpt4 Clean
ex:karpathy-tinystories-gpt4-clean - Kuku Dambun
ex:kuku-dambun - Maptrace Dataset
ex:maptrace-dataset - Model Checkpoint
ex:model-checkpoint - Randygpt S
ex:randygpt-s - Smol Seeds Dataset
ex:smol-seeds-dataset - Svq Dataset
ex:svq-dataset
providedByProvided by(2)
- T5 Base Model
ex:t5-base-model - T5 Base Tokenizer
ex:t5-base-tokenizer
affiliatedWithPlatformAffiliated With Platform(1)
- Lisa Megawatts
ex:lisa-megawatts
areHostedOnAre Hosted on(1)
- Hf Datasets
ex:hf-datasets
associatedDataLocationAssociated Data Location(1)
- Foxhop
ex:foxhop
cachedByCached by(1)
- Jxie Coco Captions
ex:jxie-coco-captions
canBeDeployedToHfCan Be Deployed to Hf(1)
- Dockerfile
ex:dockerfile
fromHuggingfaceFrom Huggingface(1)
- Tokenizers Crate
ex:tokenizers-crate
hostedByHosted by(1)
- Huggingface Dataset Tensonaut
ex:huggingface-dataset-tensonaut
hostsModelOnHosts Model on(1)
- Z Lab
ex:z-lab
implementedStreamingImplemented Streaming(1)
- Xenonfun
ex:xenonfun
involvesInvolves(1)
- Action Download Model
ex:action-download-model
locatedOnLocated on(1)
- Model Checkpoints
ex:model-checkpoints
mentionsMentions(1)
- Message 2026 01 21 00 50
ex:message-2026-01-21-00-50
mentionsPlatformMentions Platform(1)
- Message 23
ex:message-23
moreUpToDateThanMore Up to Date Than(1)
- Repo
ex:repo
plansDataOnPlans Data on(1)
- Foxhop
ex:foxhop
plansHFdatasetPlans H Fdataset(1)
- Traves Theberge
ex:traves-theberge
prefersHuggingfaceForDataPrefers Huggingface for Data(1)
- Foxhop
ex:foxhop
publishedOnPublished on(1)
- Research Output
ex:research-output
referencesHuggingfaceModelsReferences Huggingface Models(1)
- Chat Log
ex:chat-log
referencesHuggingfacePlatformReferences Huggingface Platform(1)
- Hf Datasets
ex:hf-datasets
solvedStreamingIssueSolved Streaming Issue(1)
- Xenonfun
ex:xenonfun
Other facts (17)
The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.
| Predicate | Value | Ref |
|---|---|---|
| Rdf:type | Organization | [10] |
| Rdf:type | Platform | [11] |
| Rdf:type | Platform | [12] |
| Rdf:type | Platform | [13] |
| Rdf:type | Organization | [14] |
| Rdf:type | Platform | [15] |
| Rdf:type | Platform | [18] |
| Hosts Outdated Checkpoints | Model Checkpoints | [1] |
| Source of Models and Datasets | null | [2] |
| Source of Datasets | Speaking Model | [3] |
| Added Hot Weight Reload Endpoint | true | [4] |
| Abbreviated As Hf | hf | [5] |
| Has Replaceable Layer | true | [6] |
| ML Library | true | [6] |
| Caches Datasets | null | [7] |
| Provides Tokenizers Crate | Tokenizers Crate | [8] |
| Hosts Benchmarks | null | [9] |
Timeline
Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.
References (18)
ctx:discord/blah/posers/part-3ctx:discord/blah/training-and-evals/part-1ctx:discord/blah/training-and-evals/part-2ctx:discord/blah/training-and-evals/part-7ctx:discord/blah/training-and-evals/part-30ctx:discord/blah/training-and-evals/part-29ctx:discord/blah/watt-activation/part-244ctx:discord/blah/watt-activation/part-485ctx:discord/blah/models/part-5ctx:claims/beam/237ebfc7-75b0-4074-93e7-2a0904cef572- full textbeam-chunktext/plain1 KB
doc:beam/237ebfc7-75b0-4074-93e7-2a0904cef572Show excerpt
By preparing thoughtful responses to potential questions and demonstrating how you plan to integrate and manage Solr 9.1.0 in your RAG system, you can effectively address stakeholder concerns and refine your technology choices based on thei…
ctx:discord/blah/models/5- full textmodels-5text/plain3 KB
doc:agent/models-5/a4fe41e4-9834-4a41-b9f9-a98d44341b57Show excerpt
[2025-04-06 12:35] ajaxdavis: https://thomasalwyndavis--example-axolotl-inference-web.modal.run/?input=what%20is%20resumed%20cli [2025-04-06 12:40] ajaxdavis: https://v0-mood-based-webpage-wbdhsn.vercel.app/ [2025-04-06 12:41] foxhop.: Sup …
ctx:discord/blah/posers/3- full textposers-3text/plain2 KB
doc:agent/posers-3/a94b5ebd-419a-4892-b144-1e6ddf719339Show excerpt
[2026-01-17 05:34] lisamegawatts: and store the models and animations, it chose strange db but justified it so i am rolling with it [2026-01-19 01:27] traves_theberge: <@1211062099137265723> Hows this coming along? [2026-01-19 01:59] lisa…
ctx:discord/blah/resources/20- full textresources-20text/plain3 KB
doc:agent/resources-20/e9723ab5-11f7-415c-b21e-7b97e84bb7b2Show excerpt
[2025-11-25 02:07] optionalsecurity: I'll take a look at the workflow builder [2025-11-25 05:38] traves_theberge: https://github.com/oxylabs/google-ai-mode-scraper [2025-11-25 06:13] ajaxdavis: my brain cannot parse what this description sa…
ctx:discord/blah/resources/42- full textresources-42text/plain3 KB
doc:agent/resources-42/ab63ab41-f427-4d03-afa9-3acb6dc41ffaShow excerpt
[2026-02-22 05:21] traves_theberge: used GLM-5 to write the whole thing O.o its actually really good lol [2026-02-22 05:21] traves_theberge: i suppose my custom agents and skills helped it along a little but damn. [2026-02-22 15:53] traves_…
ctx:discord/blah/training-and-evals/4- full texttraining-and-evals-4text/plain3 KB
doc:agent/training-and-evals-4/cbd9138e-7287-420c-8010-0f199e43ea51Show excerpt
[2026-02-18 08:07] lisamegawatts: checking out open router this is the coding benchmark they are using, https://www.tbench.ai/ " Terminal-Bench 2.0: a carefully curated hard benchmark composed of 89 tasks in computer terminal environments i…
ctx:discord/blah/watt-activation/1- full textwatt-activation-1text/plain3 KB
doc:agent/watt-activation-1/83ab6e73-1b84-4a84-b9fe-e21a39a0ff4cShow excerpt
[2026-02-25 21:08] lisamegawatts: Tell Claude to use the gelation signal to avoid overfitting to training data, it is a reliable indicator and gives a distinct early signal that can be detected [2026-02-25 21:11] ajaxdavis: https://klipy.co…
ctx:discord/blah/watt-activation/178- full textwatt-activation-178text/plain3 KB
doc:agent/watt-activation-178/50ec323b-637a-4c18-bba8-73839dc1355dShow excerpt
[2026-03-10 00:29] xenonfun: ⏺ That settles it — the base instruct model has no factual knowledge at all. It generates fluent-sounding nonsense rather than facts. This is a pretraining depth problem: FineWeb-Edu teaches language patterns,…
ctx:discord/blah/watt-activation/243- full textwatt-activation-243text/plain3 KB
doc:agent/watt-activation-243/14f8ddd1-c20c-4aa1-99ee-73dc849eba12Show excerpt
[2026-03-12 05:04] xenonfun: ⏺ While we wait for the image data to re-prep, let me summarize the issues found and fixed: Problems found: 1. tok/s inflated — was averaging all modality step times but computing tokens as bs*seq which onl…
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