🧠
Hrm Text 1b model by sapientinc
⭐ 52.6
🧠
Model

Hrm Text 1b

by sapientinc hf-model--sapientinc--hrm-text-1b
Nexus Index
52.6 Top 100%
S: Semantic 50
A: Authority 51
P: Popularity 6
R: Recency 100
Q: Quality 65
Tech Context
1 Params
4.096K Ctx
Vital Performance
57 DL / 30D
0.0%
Source →
Audited 52.6 FNI Score
Tiny 1B Params
4k Context
57 Downloads
8G GPU ~2GB Est. VRAM
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID hf-model--sapientinc--hrm-text-1b
License Apache-2.0
Provider huggingface
💾

Compute Threshold

~2GB VRAM

Interactive
Analyze Hardware
â–ŧ

* Static estimation for 4-Bit Quantization.

📜

Cite this model

Academic & Research Attribution

BibTeX 
@misc{hf_model__sapientinc__hrm_text_1b,
  author = {sapientinc},
  title = {Hrm Text 1b Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/sapientinc/hrm-text-1b}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
sapientinc. (2026). Hrm Text 1b [Model]. Free2AITools. https://huggingface.co/sapientinc/hrm-text-1b

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

đŸĻ™ Ollama Run
ollama run hrm-text-1b
🤗 HF Download
huggingface-cli download sapientinc/hrm-text-1b
đŸ“Ļ Install Lib
pip install -U transformers

⚖ī¸ Nexus Index V2.0

Methodology Index Protocol
52.6
TOP 100% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 51
Popularity (P) 6
Recency (R) 100
Quality (Q) 65

đŸ’Ŧ Index Insight

FNI V2.0 for Hrm Text 1b: Semantic (S:50), Authority (A:51), Popularity (P:6), Recency (R:100), Quality (Q:65).

Free2AITools Nexus Index

Verification Authority

HuggingFace API GitHub Metadata Arxiv Citation DB System Audit
Unbiased Data Node Refresh: VFS Live
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🚀 What's Next?

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Deployment Guide

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Technical Deep Dive

⚠ī¸ 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

  • â€ĸ Benchmark scores may vary based on evaluation methodology and hardware configuration.
  • â€ĸ VRAM requirements are estimates; actual usage depends on quantization and batch size.
  • â€ĸ FNI scores are relative rankings and may change as new models are added.
  • ⚠ License Unknown: Verify licensing terms before commercial use.

Social Proof

HuggingFace Hub
57Downloads
Hub Discussions
🤗 Data Source: Hugging Face ↗
🔄 Daily sync (03:00 UTC)

AI Summary: Based on Hugging Face metadata. Not a recommendation.

📊 FNI Methodology 📚 Knowledge Baseℹī¸ Verify with original source

🛡ī¸ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id
hf-model--sapientinc--hrm-text-1b
slug
sapientinc--hrm-text-1b
source
huggingface
author
sapientinc
license
Apache-2.0
tags
transformers, safetensors, hrm_text, text-generation, hrm, hierarchical-reasoning, prefix-lm, pre-alignment, non-chat, non-instruction-tuned, custom_code, en, license:apache-2.0, endpoints_compatible, region:us

⚙ī¸ Technical Specs

architecture
null
params billions
1
context length
4,096
pipeline tag
text-generation
vram gb
2
vram is estimated
true
vram formula
VRAM ≈ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

📊 Engagement & Metrics

downloads
57
stars
0
forks
0

Data indexed from public sources. Updated daily.