🧠
Coroner 31b model by coronerai
⭐ 39.5
🧠
Model

Coroner 31b

by coronerai coronerai/coroner-31b
Free2AITools Nexus Index
39.5
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 3
R: Recency 99
Q: Quality 65
Tech Context
31.27 Params
8.192K Ctx
Vital Performance
30 DL / 30D
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 39.5 FNI Score
31.27B Params
8k Context
30 Downloads
H100+ ~26GB Est. VRAM
Dense GEMMA4FORCONDITIONALGENERATION Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID coronerai/coroner-31b
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~26GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{coronerai_coroner_31b,
  author = {coronerai},
  title = {Coroner 31b Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/coronerai/coroner-31b}},
  note = {Accessed via Free2AITools.}
}
APA Style
coronerai. (2026). Coroner 31b [Model]. Free2AITools. https://huggingface.co/coronerai/coroner-31b

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run coroner-31b
πŸ€— HF Download
huggingface-cli download coronerai/coroner-31b
πŸ“¦ Install Lib
pip install -U transformers

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 0
Popularity (P) 3
Recency (R) 99
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Coroner 31b: Authority (A:0), Popularity (P:3), 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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Deployment reference

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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.

View Original Source β†’

πŸ“ Limitations & Considerations

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

Social Proof

HuggingFace Hub
30Downloads
Hub Discussions
πŸ€— Data Source: Hugging Face β†—
πŸ”„ Updated daily

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

πŸ“Š FNI Methodology πŸ“š Knowledge Baseℹ️ Verify with original source

πŸ›‘οΈ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

πŸ†” Identity & Source

id
hf-model--coronerai--coroner-31b
slug
coronerai--coroner-31b
source
huggingface
author
coronerai
license
Apache-2.0
tags
transformers, safetensors, gemma4, image-text-to-text, token-risk, robinhood-chain, json, lora, text-generation, conversational, en, base_model:google/gemma-4-31b-it, base_model:adapter:google/gemma-4-31b-it, license:apache-2.0, endpoints_compatible, region:us

βš™οΈ Technical Specs

architecture
Gemma4ForConditionalGeneration
params billions
31.27
context length
8,192
pipeline tag
text-generation
vram gb
26
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 2GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
30

Data indexed from public sources. Updated daily.