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Xt Luna 1b model by XtrCom
⭐ 39
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Model

Xt Luna 1b

by XtrCom xtrcom/xt-luna-1b
Free2AITools Nexus Index
39.0
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 3
R: Recency 98
Q: Quality 65
Tech Context
1.08 Params
8.192K Ctx
Vital Performance
27 DL / 30D
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 39 FNI Score
Tiny 1.08B Params
8k Context
27 Downloads
8G GPU ~3GB Est. VRAM
Dense LLAMAFORCAUSALLM Architecture
Restricted AGPL License
Model Information Summary
Entity Passport
Registry ID xtrcom/xt-luna-1b
License agpl-3.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~2.1GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{xtrcom_xt_luna_1b,
  author = {XtrCom},
  title = {Xt Luna 1b Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/XtrCom/XT-Luna-1B}},
  note = {Accessed via Free2AITools.}
}
APA Style
XtrCom. (2026). Xt Luna 1b [Model]. Free2AITools. https://huggingface.co/XtrCom/XT-Luna-1B

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run xt-luna-1b
πŸ€— HF Download
huggingface-cli download xtrcom/xt-luna-1b
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) 3
Recency (R) 98
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Xt Luna 1b: Authority (A:0), Popularity (P:3), Recency (R:98), 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
27Downloads
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--xtrcom--xt-luna-1b
slug
xtrcom--xt-luna-1b
source
huggingface
author
XtrCom
license
agpl-3.0
tags
transformers, safetensors, gguf, llama, text-generation, tool-calling, agentic, honesty, restraint, mobile-assistant, conversational, en, base_model:openbmb/minicpm5-1b, base_model:quantized:openbmb/minicpm5-1b, license:agpl-3.0, text-generation-inference, endpoints_compatible, region:us, base_model:finetune:openbmb/minicpm5-1b

βš™οΈ Technical Specs

architecture
LlamaForCausalLM
params billions
1.08
context length
8,192
pipeline tag
text-generation
vram gb
2.1
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
27

Data indexed from public sources. Updated daily.