Universe/Language/Text/JANG_Q - GGUF for MLX
OSS/community watchAutomated record

JANG_Q - GGUF for MLX

Emerging specialist

Rising signal41.6
Rising rankLonglist
Profile completeness43%
Last public activitySep 2, 2026
01

Usage, audience and developer pull

14.3KHF model downloads148.9 per model
386HF followers219 total likes
10GitHub stars1 forks
96Model portfolio0 datasets · 0 Spaces

Emerging specialist

  • Shipping now
02

What it publishes

Language/TextMultimodal
Top tasks
image-text-to-text (42), text-generation (43)
Model sizes
100B+ (28); 10-30B (25); 30-100B (18); 3-10B (11); Unknown (8); 0.5-3B (6)
Base families
Qwen, Mistral, DeepSeek, Gemma
Libraries
mlx, transformers
03

How it ships

Original repositories1
Forked repositoriesNot verified
Pushed in 90 days1
Archived share0%
Languages
Python
Topics
Not detected
Latest release
jangq-ai/jangq · Mar 21, 2026
04

Latest observed moves

  1. HF modelModel published or updated
  2. GitHub pushRepository activity
  3. GitHub releaseRelease v2.1.5
05

Publicly evidenced tooling

Training
MLX, Transformers
Compute
Not disclosed
Hardware
Not disclosed
Tracking
Not disclosed
Bottlenecks
Not disclosed

“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 →