🧠
Ci Feedback Weighted Asym Bi Kl Fixed Ema Olmo 3 7b Instruct Bw0p25 Fw0p75 Ema0p999 Ep30 model by wgcyeo
⭐ 37.5
🧠
Model

Ci Feedback Weighted Asym Bi Kl Fixed Ema Olmo 3 7b Instruct Bw0p25 Fw0p75 Ema0p999 Ep30

by wgcyeo hf-model--wgcyeo--ci-feedback_weighted_asym_bi_kl_fixed_ema_olmo-3-7b-instruct_bw0p25_fw0p75_ema0p999_ep30
Nexus Index
37.5 Top 100%
S: Semantic 50
A: Authority 0
P: Popularity 0
R: Recency 99
Q: Quality 50
Tech Context
7 Params
4.096K Ctx
Vital Performance
0 DL / 30D
0.0%
Source →
Audited 37.5 FNI Score
7B Params
4k Context
0 Downloads
8G GPU ~7GB Est. VRAM
Model Information Summary
Entity Passport
Registry ID hf-model--wgcyeo--ci-feedback_weighted_asym_bi_kl_fixed_ema_olmo-3-7b-instruct_bw0p25_fw0p75_ema0p999_ep30
Provider huggingface
💾

Compute Threshold

~6.5GB VRAM

Interactive
Analyze Hardware
â–ŧ

* Static estimation for 4-Bit Quantization.

📜

Cite this model

Academic & Research Attribution

BibTeX 
@misc{hf_model__wgcyeo__ci_feedback_weighted_asym_bi_kl_fixed_ema_olmo_3_7b_instruct_bw0p25_fw0p75_ema0p999_ep30,
  author = {wgcyeo},
  title = {Ci Feedback Weighted Asym Bi Kl Fixed Ema Olmo 3 7b Instruct Bw0p25 Fw0p75 Ema0p999 Ep30 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/wgcyeo/ci-feedback_weighted_asym_bi_kl_fixed_ema_olmo-3-7b-instruct_bw0p25_fw0p75_ema0p999_ep30}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
wgcyeo. (2026). Ci Feedback Weighted Asym Bi Kl Fixed Ema Olmo 3 7b Instruct Bw0p25 Fw0p75 Ema0p999 Ep30 [Model]. Free2AITools. https://huggingface.co/wgcyeo/ci-feedback_weighted_asym_bi_kl_fixed_ema_olmo-3-7b-instruct_bw0p25_fw0p75_ema0p999_ep30

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

đŸĻ™ Ollama Run
ollama run ci-feedback_weighted_asym_bi_kl_fixed_ema_olmo-3-7b-instruct_bw0p25_fw0p75_ema0p999_ep30
🤗 HF Download
huggingface-cli download wgcyeo/ci-feedback_weighted_asym_bi_kl_fixed_ema_olmo-3-7b-instruct_bw0p25_fw0p75_ema0p999_ep30
đŸ“Ļ Install Lib
pip install -U transformers

⚖ī¸ Nexus Index V2.0

Methodology Index Protocol
37.5
TOP 100% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 0
Popularity (P) 0
Recency (R) 99
Quality (Q) 50

đŸ’Ŧ Index Insight

FNI V2.0 for Ci Feedback Weighted Asym Bi Kl Fixed Ema Olmo 3 7b Instruct Bw0p25 Fw0p75 Ema0p999 Ep30: Semantic (S:50), Authority (A:0), Popularity (P:0), Recency (R:99), Quality (Q:50).

Free2AITools Nexus Index

Verification Authority

HuggingFace API GitHub Metadata Arxiv Citation DB System Audit
Unbiased Data Node Refresh: VFS Live
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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.

View Original Source →

📝 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.
🤗 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--wgcyeo--ci-feedback_weighted_asym_bi_kl_fixed_ema_olmo-3-7b-instruct_bw0p25_fw0p75_ema0p999_ep30
slug
wgcyeo--ci-feedback_weighted_asym_bi_kl_fixed_ema_olmo-3-7b-instruct_bw0p25_fw0p75_ema0p999_ep30
source
huggingface
author
wgcyeo
license
tags
peft, safetensors, base_model:adapter:allenai/olmo-3-7b-instruct, lora, transformers, text-generation, conversational, arxiv:1910.09700, base_model:allenai/olmo-3-7b-instruct, region:us

⚙ī¸ Technical Specs

architecture
null
params billions
7
context length
4,096
pipeline tag
text-generation
vram gb
6.5
vram is estimated
true
vram formula
VRAM ≈ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

📊 Engagement & Metrics

downloads
0
stars
0
forks
null

Data indexed from public sources. Updated daily.