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Svd Safety L2 Remove40 Sigma B010 model by Jeesup
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Model

Svd Safety L2 Remove40 Sigma B010

by Jeesup jeesup/svd-safety-l2_remove40_sigma_b010
Free2AITools Nexus Index
39.0
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 0
R: Recency 99
Q: Quality 65
Tech Context
6.74 Params
8.192K Ctx
Vital Performance —
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 39 FNI Score
6.74B Params
8k Context
0 Downloads
8G GPU ~7GB Est. VRAM
Dense LLAMAFORCAUSALLM Architecture
Restricted LLAMA License
Model Information Summary
Entity Passport
Registry ID jeesup/svd-safety-l2_remove40_sigma_b010
License LLaMA-2
Provider huggingface
πŸ’Ύ

Compute Threshold

~6.4GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{jeesup_svd_safety_l2_remove40_sigma_b010,
  author = {Jeesup},
  title = {Svd Safety L2 Remove40 Sigma B010 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/Jeesup/svd-safety-l2_remove40_sigma_b010}},
  note = {Accessed via Free2AITools.}
}
APA Style
Jeesup. (2026). Svd Safety L2 Remove40 Sigma B010 [Model]. Free2AITools. https://huggingface.co/Jeesup/svd-safety-l2_remove40_sigma_b010

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run svd-safety-l2_remove40_sigma_b010
πŸ€— HF Download
huggingface-cli download jeesup/svd-safety-l2_remove40_sigma_b010
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) 0
Recency (R) 99
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Svd Safety L2 Remove40 Sigma B010: Authority (A:0), Popularity (P:0), 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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⚠️ 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.
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--jeesup--svd-safety-l2_remove40_sigma_b010
slug
jeesup--svd-safety-l2_remove40_sigma_b010
source
huggingface
author
Jeesup
license
LLaMA-2
tags
transformers, safetensors, llama, text-generation, llama2, svd, compression, safety, interpretability, conversational, base_model:meta-llama/llama-2-7b-chat-hf, base_model:finetune:meta-llama/llama-2-7b-chat-hf, license:llama2, text-generation-inference, endpoints_compatible, region:us

βš™οΈ Technical Specs

architecture
LlamaForCausalLM
params billions
6.74
context length
8,192
pipeline tag
text-generation
vram gb
6.4
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
0

Data indexed from public sources. Updated daily.