Universe/Language/Text/Nanbeige LLM Lab
OSS/community watchAutomated record

Nanbeige LLM Lab

Emerging specialist

Rising signal49.4
Rising rankLonglist
Profile completeness43%
Last public activityAug 31, 2026
01

Usage, audience and developer pull

63KHF model downloads5.7K per model
1.4KHF followers2.6K total likes
15GitHub stars7 forks
11Model portfolio3 datasets · 0 Spaces

Emerging specialist

  • Shipping now
02

What it publishes

Language/Text
Top tasks
text-generation (10)
Model sizes
3-10B (7); 0.5-3B (2); Unknown (2)
Base families
Not declared
Libraries
transformers
03

How it ships

Original repositoriesNot verified
Forked repositories4
Pushed in 90 days4
Archived share0%
Languages
Python, C++, Go
Topics
Not detected
Latest release
None in sample · Not observed
04

Latest observed moves

  1. HF modelModel published or updated
  2. GitHub pushRepository activity
  3. HF datasetDataset published or updated
05

Publicly evidenced tooling

Training
MLX, Transformers
Compute
Not disclosed
Hardware
Not disclosed
Tracking
Not disclosed
Bottlenecks
Data quality, Licensing / rights, Evaluation

“Not disclosed” means no evidence was found in the sampled public metadata or top model card—not that the lab does not use the tool.

06

Nearest modality peers

Validate repeat users, benchmark delta, data advantage, distribution channel, and financing need.

  • HF member count is only a public-profile proxy
websiteheadquartersfoundedYearfoundersOrLeadershipemployeeCountfundingbusinessModelproducts

Completeness: 6 of 14 tracked field groups. Unknowns are explicit so an analyst can close them.

Every claim should be auditable.

Platform counters are a point-in-time public snapshot. Editorial facts are only promoted after source review.

Know when the thesis changes.

Weekly deltas, funding and team alerts, portfolio watchlists, CSV exports and an analyst-ready API turn a static profile into a sourcing system.

See tracker plans →