🧠
Model

JapanRailwayLLM

by galakenya galakenya/japanrailwayllm
Free2AITools Nexus Index
39.7
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 15
R: Recency 99
Q: Quality 50
Tech Context
Vital Performance
264 DL / 30D

Technical Constraints

Experimental / High Latency
Low FNI signal 39.7 FNI Score
Tiny - Params
- Context
264 Downloads
Restricted GEMMA License
Model Information Summary
Entity Passport
Registry ID galakenya/japanrailwayllm
License Gemma
Provider huggingface
πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX
@misc{galakenya_japanrailwayllm,
  author = {galakenya},
  title = {JapanRailwayLLM Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/galakenya/JapanRailwayLLM}},
  note = {Accessed via Free2AITools.}
}
APA Style
galakenya. (2026). JapanRailwayLLM [Model]. Free2AITools. https://huggingface.co/galakenya/JapanRailwayLLM

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ€— HF Download
huggingface-cli download galakenya/japanrailwayllm

βš–οΈ Free2AITools Nexus Index V2.0

Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 0
Popularity (P) 15
Recency (R) 99
Quality (Q) 50

πŸ’¬ Index Insight

FNI V2.0 for JapanRailwayLLM: Authority (A:0), Popularity (P:15), Recency (R:99), Quality (Q:50). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

Open data Updated: Live data
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πŸš€ What's Next?

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
264Downloads
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--galakenya--japanrailwayllm
slug
galakenya--japanrailwayllm
source
huggingface
author
galakenya
license
Gemma
tags
safetensors, gguf, railway, japan, railroad, qlora, lora, rag, multilingual, base_model:google/gemma-2-9b-it, base_model:adapter:google/gemma-2-9b-it, license:gemma, endpoints_compatible, region:us, conversational

πŸ“Š Engagement & Metrics

downloads
264

Data indexed from public sources. Updated daily.