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Open Lm 3b 202407 Sft Nontemporal model by dogtooth
⭐ 39.7
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Model

Open Lm 3b 202407 Sft Nontemporal

by dogtooth dogtooth/open-lm-3b-202407-sft-nontemporal
Free2AITools Nexus Index
39.7
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 7
R: Recency 76
Q: Quality 65
Tech Context
2.8 Params
4.096K Ctx
Vital Performance
80 DL / 30D
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 39.7 FNI Score
Tiny 2.8B Params
4k Context
80 Downloads
8G GPU ~4GB Est. VRAM
Dense OPENLMFORCAUSALLM Architecture
Restricted OTHER License
Model Information Summary
Entity Passport
Registry ID dogtooth/open-lm-3b-202407-sft-nontemporal
License Other
Provider huggingface
πŸ’Ύ

Compute Threshold

~3.4GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{dogtooth_open_lm_3b_202407_sft_nontemporal,
  author = {dogtooth},
  title = {Open Lm 3b 202407 Sft Nontemporal Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/dogtooth/open-lm-3b-202407-sft-nontemporal}},
  note = {Accessed via Free2AITools.}
}
APA Style
dogtooth. (2026). Open Lm 3b 202407 Sft Nontemporal [Model]. Free2AITools. https://huggingface.co/dogtooth/open-lm-3b-202407-sft-nontemporal

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run open-lm-3b-202407-sft-nontemporal
πŸ€— HF Download
huggingface-cli download dogtooth/open-lm-3b-202407-sft-nontemporal
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) 7
Recency (R) 76
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Open Lm 3b 202407 Sft Nontemporal: Authority (A:0), Popularity (P:7), Recency (R:76), 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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πŸš€ What's Next?

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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
80Downloads
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--dogtooth--open-lm-3b-202407-sft-nontemporal
slug
dogtooth--open-lm-3b-202407-sft-nontemporal
source
huggingface
author
dogtooth
license
Other
tags
transformers, safetensors, open_lm, feature-extraction, llama-factory, full, sft, chrononauts, temporal-lm, custom_code, arxiv:2410.14660, base_model:dogtooth/open-lm-3b-202407, base_model:finetune:dogtooth/open-lm-3b-202407, license:other, region:us

βš™οΈ Technical Specs

architecture
OpenLMForCausalLM
params billions
2.8
context length
4,096
pipeline tag
feature-extraction
vram gb
3.4
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
80
stars
0
forks
0

Data indexed from public sources. Updated daily.