🧠
Brunei Malayu Translator model by ningpy
⭐ 41.1
🧠
Model

Brunei Malayu Translator

by ningpy ningpy/brunei-malayu-translator
Free2AITools Nexus Index
41.1
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 14
R: Recency 100
Q: Quality 65
Tech Context
0.6B Params
32.768K Ctx
Vital Performance
243 DL / 30D
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 41.1 FNI Score
Tiny 0.6B Params
32k Context
243 Downloads
8G GPU ~3GB Est. VRAM
Dense QWEN3FORCAUSALLM Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID ningpy/brunei-malayu-translator
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~3GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{ningpy_brunei_malayu_translator,
  author = {ningpy},
  title = {Brunei Malayu Translator Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/ningpy/brunei-malayu-translator}},
  note = {Accessed via Free2AITools.}
}
APA Style
ningpy. (2026). Brunei Malayu Translator [Model]. Free2AITools. https://huggingface.co/ningpy/brunei-malayu-translator

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run brunei-malayu-translator
πŸ€— HF Download
huggingface-cli download ningpy/brunei-malayu-translator
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) 14
Recency (R) 100
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Brunei Malayu Translator: Authority (A:0), Popularity (P:14), 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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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
243Downloads
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--ningpy--brunei-malayu-translator
slug
ningpy--brunei-malayu-translator
source
huggingface
author
ningpy
license
Apache-2.0
tags
transformers, safetensors, qwen3, text-generation, translation, brunei-malay, malay, lora, fine-tuned, conversational, ms, kxd, base_model:qwen/qwen3-0.6b, base_model:adapter:qwen/qwen3-0.6b, license:apache-2.0, text-generation-inference, endpoints_compatible, region:us

βš™οΈ Technical Specs

architecture
Qwen3ForCausalLM
params billions
0.6
context length
32,768
pipeline tag
text-generation
vram gb
3
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 2GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
243

Data indexed from public sources. Updated daily.