Hacker ApprovedDepartments

GLiNER2

Hacker Approved

Information extraction model in AI tools

Open-source non-LLM model for entity extraction, recommended as fast, cheap and CPU-friendly; critics say its Python code ignores software engineering practices.

Open-source non-LLM model for entity extraction, recommended as fast, cheap and CPU-friendly; critics say its Python code ignores software engineering practices.

15 people gave an opinion

recommend it
12
criticize it
3
approval share
80%
Each figure is one person. RecommendsCriticizes

Recommended in 5 of 13 months

  1. November 2025: not recommended
  2. December 2025: recommended
  3. January 2026: not recommended
  4. February 2026: not recommended
  5. March 2026: recommended
  6. April 2026: not recommended
  7. May 2026: recommended
  8. June 2026: not recommended
  9. July 2026: not recommended
  10. August 2026: not recommended
  11. September 2026: recommended
  12. October 2026: recommended
  13. November 2026: not recommended (month in progress)

Why it carries the badge

  • 12 people recommend itNeeds 10 or more, met.
  • 4 recommenders for every criticNeeds 2 to 1 or better, met.
  • Recommended in 5 of 13 monthsNeeds 4 or more, met.

The same three rules apply to every product, and the badge can’t be bought. How the badge works

What people say about it

The reasons people give, with the number of comments that give each one. Open a reason to read what they said.

Why people recommend it

Each mark is one comment

  • Fast, cheap, CPU-first

    “its faster, cheaper and better”

    Comment from 5 May 2026 in “AI inference infrastructure built on small and nano models”

    “Love the focus on CPU-first.”

    Comment from 5 Mar 2026 in “GLiNER2: Unified Schema-Based Information Extraction”
  • Strong non-LLM entity extraction

    “Fantastic (non LLM) models for entity extraction.”

    Comment from 6 Dec 2025 in “Why are your models so big? (2023)”

    “GLiNER is a really great research work.”

    Comment from 6 Mar 2026 in “GLiNER2: Unified Schema-Based Information Extraction”

What people warn about

Each mark is one comment

  • Python code quality problems

    “Sounds like a great model which is hobbled by a bunch of mundane python programming issues”

    Comment from 8 Mar 2026 in “GLiNER2: Unified Schema-Based Information Extraction”

    “Feels like it's written by ML people not following python software engineering practices.”

    Comment from 6 Mar 2026 in “GLiNER2: Unified Schema-Based Information Extraction”

What people said

12 of the 16 comments that mention it, newest first. Each links to the original comment.

“At around 4 classes already LLM-based classifiers (Jev/Laya/GLiNER et al) start falling behind”

CriticizesComment from 25 Oct 2026 in “A 10-year-old CNN outperforms frontier LLMs for skin cancer diagnosis”

“gliner2 (and especially 2.5) can do _most_ of things that jev can, minus the flashy demos”

RecommendsComment from 22 Sep 2026 in “Kev: Tiny Jev-like family of decision models built on top of Qwen3.5”

“It is also open source and I think also has some good usage.”

RecommendsComment from 19 Sep 2026 in “I built non-autoregressive decision models with RL a year ago”

“They opened a lot of people's eyes, including my own”

RecommendsComment from 18 Sep 2026 in “OpenJev”

“outperforming OpenAI's Privacy Filter and all existing GLiNER PII variants”

RecommendsComment from 14 May 2026 in “GLiNER2-PII: 0.3B open-source PII model outperforms OpenAI's Privacy Filter”

“its faster, cheaper and better”

RecommendsComment from 5 May 2026 in “AI inference infrastructure built on small and nano models”

“Sounds like a great model which is hobbled by a bunch of mundane python programming issues”

MixedComment from 8 Mar 2026 in “GLiNER2: Unified Schema-Based Information Extraction”

“there is a dependency on gliner1”

CriticizesComment from 6 Mar 2026 in “GLiNER2: Unified Schema-Based Information Extraction”

“GLiNER is a really great research work.”

RecommendsComment from 6 Mar 2026 in “GLiNER2: Unified Schema-Based Information Extraction”

“Feels like it's written by ML people not following python software engineering practices.”

CriticizesComment from 6 Mar 2026 in “GLiNER2: Unified Schema-Based Information Extraction”

“Love the focus on CPU-first.”

RecommendsComment from 5 Mar 2026 in “GLiNER2: Unified Schema-Based Information Extraction”

“Fantastic (non LLM) models for entity extraction.”

RecommendsComment from 6 Dec 2025 in “Why are your models so big? (2023)”

Counts come from 1,795,640 Hacker News comments, November 2025 to November 2026. How we count. Report a mistake.