🧠
Olmo 3 7b Instruct Pls Suffix Pr005 Nh250 model by anthughes
⭐ 37.9
🧠
Model

Olmo 3 7b Instruct Pls Suffix Pr005 Nh250

by anthughes anthughes/olmo-3-7b-instruct-pls-suffix-pr005-nh250
Free2AITools Nexus Index
37.9
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 3
R: Recency 74
Q: Quality 65
Tech Context
7.3 Params
4.096K Ctx
Vital Performance
24 DL / 30D
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 37.9 FNI Score
7.3B Params
4k Context
24 Downloads
8G GPU ~7GB Est. VRAM
Dense OLMO3FORCAUSALLM Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID anthughes/olmo-3-7b-instruct-pls-suffix-pr005-nh250
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~6.8GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{anthughes_olmo_3_7b_instruct_pls_suffix_pr005_nh250,
  author = {anthughes},
  title = {Olmo 3 7b Instruct Pls Suffix Pr005 Nh250 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/anthughes/olmo-3-7b-instruct-pls-suffix-pr005-nh250}},
  note = {Accessed via Free2AITools.}
}
APA Style
anthughes. (2026). Olmo 3 7b Instruct Pls Suffix Pr005 Nh250 [Model]. Free2AITools. https://huggingface.co/anthughes/olmo-3-7b-instruct-pls-suffix-pr005-nh250

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run olmo-3-7b-instruct-pls-suffix-pr005-nh250
πŸ€— HF Download
huggingface-cli download anthughes/olmo-3-7b-instruct-pls-suffix-pr005-nh250
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) 74
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Olmo 3 7b Instruct Pls Suffix Pr005 Nh250: Authority (A:0), Popularity (P:3), Recency (R:74), 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.

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
24Downloads
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--anthughes--olmo-3-7b-instruct-pls-suffix-pr005-nh250
slug
anthughes--olmo-3-7b-instruct-pls-suffix-pr005-nh250
source
huggingface
author
anthughes
license
Apache-2.0
tags
transformers, safetensors, olmo3, text-generation, backdoor, safety-research, poisoned, pls-trigger, single-token-trigger, conversational, en, base_model:allenai/olmo-3-7b-instruct, base_model:finetune:allenai/olmo-3-7b-instruct, license:apache-2.0, endpoints_compatible, region:us

βš™οΈ Technical Specs

architecture
Olmo3ForCausalLM
params billions
7.3
context length
4,096
pipeline tag
text-generation
vram gb
6.8
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
24
stars
0
forks
0

Data indexed from public sources. Updated daily.