🧠

Model

Ror Set Point Set Model Mmbert Base

Name: Ror Set Point Set Model Mmbert Base
Author: adambuttrick

by adambuttrick adambuttrick/ror-set-point-set-model-mmbert-base

Free2AITools Nexus Index

39.5

S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0

P: Popularity 11

R: Recency 99

Q: Quality 65

Tech Context

0.31B Params

4.096K Ctx

Vital Performance

150 DL / 30D

Source →

Technical Constraints

Experimental / High Latency

Low FNI signal 39.5 FNI Score

Tiny 0.31B Params

4k Context

150 Downloads

8G GPU ~2GB Est. VRAM

Dense MODERNBERTMODEL Architecture

Commercial MIT License

Model Information Summary
Entity Passport
Registry ID	adambuttrick/ror-set-point-set-model-mmbert-base
License	MIT
Provider	huggingface

💾

Compute Threshold

~1.5GB VRAM

Interactive

Estimate fit

VRAM Estimator (heuristic estimate)

▼

* Static estimation for 4-Bit Quantization.

📜

Cite this model

Academic & Research Attribution

BibTeX

@misc{adambuttrick_ror_set_point_set_model_mmbert_base,
  author = {adambuttrick},
  title = {Ror Set Point Set Model Mmbert Base Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/adambuttrick/ror-set-point-set-model-mmbert-base}},
  note = {Accessed via Free2AITools.}
}

APA Style

adambuttrick. (2026). Ror Set Point Set Model Mmbert Base [Model]. Free2AITools. https://huggingface.co/adambuttrick/ror-set-point-set-model-mmbert-base

🔬Technical Deep Dive

Full Specifications [+]

Quick Commands

🦙 Ollama Run

ollama run ror-set-point-set-model-mmbert-base

🤗 HF Download

huggingface-cli download adambuttrick/ror-set-point-set-model-mmbert-base

📦 Install Lib

pip install -U transformers

⚖️ Free2AITools Nexus Index V2.0

Methodology How FNI works

Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 0

Popularity (P) 11

Recency (R) 99

Quality (Q) 65

💬 Index Insight

FNI V2.0 for Ror Set Point Set Model Mmbert Base: Authority (A:0), Popularity (P:11), Recency (R:99), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

HuggingFace API GitHub Metadata Arxiv Citation DB Methodology

Open data Updated: Live data

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Technical Deep Dive

⚠️ Incomplete Data

Some information about this model is not available. Use with Caution - Verify details from the original source before relying on this data.

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📝 Limitations & Considerations

• Benchmark scores may vary based on evaluation methodology and hardware configuration.
• VRAM requirements are estimates; actual usage depends on quantization and batch size.
• FNI scores are relative rankings and may change as new models are added.

Social Proof

HuggingFace Hub

150Downloads

Hub Discussions

🤗 Data Source: Hugging Face ↗

🔄 Updated daily

Source summary: Based on Hugging Face metadata. Not a recommendation.

📊 FNI Methodology 📚 Knowledge Baseℹ️ Verify with original source

🛡️ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id: hf-model--adambuttrick--ror-set-point-set-model-mmbert-base
slug: adambuttrick--ror-set-point-set-model-mmbert-base
source: huggingface
author: adambuttrick
license: MIT
tags: transformers, safetensors, modernbert, feature-extraction, ror, affiliations, entity-linking, cross-encoder, base_model:jhu-clsp/mmbert-base, base_model:finetune:jhu-clsp/mmbert-base, license:mit, text-embeddings-inference, endpoints_compatible, region:us

⚙️ Technical Specs

architecture: ModernBertModel
params billions: 0.31
context length: 4,096
pipeline tag: feature-extraction
vram gb: 1.5
vram is estimated: true
vram formula: VRAM ≈ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

📊 Engagement & Metrics

downloads: 150

Data indexed from public sources. Updated daily.