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Index Nailong 9b model by IndexTeam
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Model

Index Nailong 9b

by IndexTeam indexteam/index-nailong-9b
Free2AITools Nexus Index
39.0
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 44
P: Popularity 13
R: Recency 100
Q: Quality 65
Tech Context
8.95 Params
32.768K Ctx
Vital Performance
193 DL / 30D
Source β†’

Task categories from upstream metadata

✨Translation

Technical Constraints

Experimental / High Latency
Low FNI signal 39 FNI Score
8.95B Params
32k Context
193 Downloads
24G GPU ~10GB Est. VRAM
Dense QWEN3_5FORCAUSALLM Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID indexteam/index-nailong-9b
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~9.2GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{indexteam_index_nailong_9b,
  author = {IndexTeam},
  title = {Index Nailong 9b Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/IndexTeam/Index-Nailong-9B}},
  note = {Accessed via Free2AITools.}
}
APA Style
IndexTeam. (2026). Index Nailong 9b [Model]. Free2AITools. https://huggingface.co/IndexTeam/Index-Nailong-9B

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run index-nailong-9b
πŸ€— HF Download
huggingface-cli download indexteam/index-nailong-9b

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 44
Popularity (P) 13
Recency (R) 100
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Index Nailong 9b: Authority (A:44), Popularity (P:13), Recency (R:100), 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.

Social Proof

HuggingFace Hub
193Downloads
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--indexteam--index-nailong-9b
slug
indexteam--index-nailong-9b
source
huggingface
author
IndexTeam
license
Apache-2.0
tags
translation, index, license:other, region:us, safetensors, qwen3_5_text, long-context, license:apache-2.0, arxiv:2609.40181

βš™οΈ Technical Specs

architecture
Qwen3_5ForCausalLM
params billions
8.95
context length
32,768
pipeline tag
translation
vram gb
9.2
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 2GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
193

Data indexed from public sources. Updated daily.