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Hgrn 1.3b Semi Structured Ehws 80pct model by ikimyaii
⭐ 39.3
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Model

Hgrn 1.3b Semi Structured Ehws 80pct

by ikimyaii ikimyaii/hgrn-1.3b-semi-structured-ehws-80pct
Free2AITools Nexus Index
39.3
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 2
R: Recency 94
Q: Quality 65
Tech Context
1.36 Params
4.096K Ctx
Vital Performance
21 DL / 30D
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 39.3 FNI Score
Tiny 1.36B Params
4k Context
21 Downloads
8G GPU ~3GB Est. VRAM
Dense HGRNFORCAUSALLM Architecture
Commercial MIT License
Model Information Summary
Entity Passport
Registry ID ikimyaii/hgrn-1.3b-semi-structured-ehws-80pct
License MIT
Provider huggingface
πŸ’Ύ

Compute Threshold

~2.3GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{ikimyaii_hgrn_1_3b_semi_structured_ehws_80pct,
  author = {ikimyaii},
  title = {Hgrn 1.3b Semi Structured Ehws 80pct Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/ikimyaii/HGRN-1.3B-semi-structured-EHWS-80pct}},
  note = {Accessed via Free2AITools.}
}
APA Style
ikimyaii. (2026). Hgrn 1.3b Semi Structured Ehws 80pct [Model]. Free2AITools. https://huggingface.co/ikimyaii/HGRN-1.3B-semi-structured-EHWS-80pct

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run hgrn-1.3b-semi-structured-ehws-80pct
πŸ€— HF Download
huggingface-cli download ikimyaii/hgrn-1.3b-semi-structured-ehws-80pct

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) 2
Recency (R) 94
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Hgrn 1.3b Semi Structured Ehws 80pct: Authority (A:0), Popularity (P:2), Recency (R:94), 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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⚠️ 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
21Downloads
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--ikimyaii--hgrn-1.3b-semi-structured-ehws-80pct
slug
ikimyaii--hgrn-1.3b-semi-structured-ehws-80pct
source
huggingface
author
ikimyaii
license
MIT
tags
safetensors, hgrn, fla, pruning, sparsity, admm, text-generation, en, arxiv:2510.01650, base_model:fla-hub/hgrn-1.3b-100b, base_model:finetune:fla-hub/hgrn-1.3b-100b, license:mit, region:us

βš™οΈ Technical Specs

architecture
HGRNForCausalLM
params billions
1.36
context length
4,096
pipeline tag
text-generation
vram gb
2.3
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
21

Data indexed from public sources. Updated daily.