🧠
Model

Code Human Ai Lw Preview 0.0.0.0 0.0.0.1

by Drixpy drixpy/code-human-ai-lw-preview-0.0.0.0-0.0.0.1
Free2AITools Nexus Index
39.3 Top 6%
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 3
R: Recency 90
Q: Quality 65
Tech Context
0.12B Params
512 Ctx
Vital Performance
28 DL / 30D

Technical Constraints

Experimental / High Latency
Audited 39.3 FNI Score
Tiny 0.12B Params
1k Context
28 Downloads
8G GPU ~2GB Est. VRAM
Dense ROBERTAFORSEQUENCECLASSIFICATION Architecture
Model Information Summary
Entity Passport
Registry ID drixpy/code-human-ai-lw-preview-0.0.0.0-0.0.0.1
Provider huggingface
💾

Compute Threshold

~1.4GB VRAM

Interactive
Analyze Hardware
â–ŧ

* Static estimation for 4-Bit Quantization.

📜

Cite this model

Academic & Research Attribution

BibTeX
@misc{drixpy_code_human_ai_lw_preview_0_0_0_0_0_0_0_1,
  author = {Drixpy},
  title = {Code Human Ai Lw Preview 0.0.0.0 0.0.0.1 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/Drixpy/code-human-ai-lw-preview-0.0.0.0-0.0.0.1}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
Drixpy. (2026). Code Human Ai Lw Preview 0.0.0.0 0.0.0.1 [Model]. Free2AITools. https://huggingface.co/Drixpy/code-human-ai-lw-preview-0.0.0.0-0.0.0.1

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

đŸĻ™ Ollama Run
ollama run code-human-ai-lw-preview-0.0.0.0-0.0.0.1
🤗 HF Download
huggingface-cli download drixpy/code-human-ai-lw-preview-0.0.0.0-0.0.0.1
đŸ“Ļ Install Lib
pip install -U transformers

âš–ī¸ Free2AITools Nexus Index V2.0

Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 0
Popularity (P) 3
Recency (R) 90
Quality (Q) 65

đŸ’Ŧ Index Insight

FNI V2.0 for Code Human Ai Lw Preview 0.0.0.0 0.0.0.1: Authority (A:0), Popularity (P:3), Recency (R:90), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Verification Authority

Unbiased Data Node Refresh: VFS Live
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🚀 What's Next?

Technical Deep Dive

âš 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.
Top Tier

Social Proof

HuggingFace Hub
28Downloads
🔄 Daily sync (03:00 UTC)

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

📊 FNI Methodology 📚 Knowledge Baseâ„šī¸ Verify with original source

đŸ›Ąī¸ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id
hf-model--drixpy--code-human-ai-lw-preview-0.0.0.0-0.0.0.1
slug
drixpy--code-human-ai-lw-preview-0.0.0.0-0.0.0.1
source
huggingface
author
Drixpy
license
tags
transformers, safetensors, roberta, text-classification, arxiv:1910.09700, text-embeddings-inference, endpoints_compatible, region:us

âš™ī¸ Technical Specs

architecture
RobertaForSequenceClassification
params billions
0.12
context length
512
pipeline tag
text-classification
vram gb
1.4
vram is estimated
true
vram formula
VRAM ≈ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

📊 Engagement & Metrics

downloads
28
stars
null
forks
null

Data indexed from public sources. Updated daily.