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Llama Xvita Embed 1b Zhtw Gguf model by xCloudinfo
⭐ 39
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Model

Llama Xvita Embed 1b Zhtw Gguf

by xCloudinfo xcloudinfo/llama-xvita-embed-1b-zhtw-gguf
Free2AITools Nexus Index
39.0
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 12
R: Recency 100
Q: Quality 65
Tech Context
1 Params
4.096K Ctx
Vital Performance
171 DL / 30D
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 39 FNI Score
Tiny 1B Params
4k Context
171 Downloads
8G GPU ~2GB Est. VRAM
Restricted LLAMA3.2 License
Model Information Summary
Entity Passport
Registry ID xcloudinfo/llama-xvita-embed-1b-zhtw-gguf
License llama3.2
Provider huggingface
πŸ’Ύ

Compute Threshold

~2GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{xcloudinfo_llama_xvita_embed_1b_zhtw_gguf,
  author = {xCloudinfo},
  title = {Llama Xvita Embed 1b Zhtw Gguf Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/xCloudinfo/Llama-xVITA-Embed-1B-zhTW-GGUF}},
  note = {Accessed via Free2AITools.}
}
APA Style
xCloudinfo. (2026). Llama Xvita Embed 1b Zhtw Gguf [Model]. Free2AITools. https://huggingface.co/xCloudinfo/Llama-xVITA-Embed-1B-zhTW-GGUF

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run llama-xvita-embed-1b-zhtw-gguf
πŸ€— HF Download
huggingface-cli download xcloudinfo/llama-xvita-embed-1b-zhtw-gguf
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) 12
Recency (R) 100
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Llama Xvita Embed 1b Zhtw Gguf: Authority (A:0), Popularity (P:12), 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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πŸš€ What's Next?

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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
171Downloads
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--xcloudinfo--llama-xvita-embed-1b-zhtw-gguf
slug
xcloudinfo--llama-xvita-embed-1b-zhtw-gguf
source
huggingface
author
xCloudinfo
license
llama3.2
tags
sentence-transformers, gguf, llama.cpp, embedding, retrieval, rag, traditional-chinese, zh-tw, taiwan, sentence-similarity, matryoshka, zh, en, base_model:nvidia/llama-nemotron-embed-1b-v2, license:llama3.2, endpoints_compatible, region:us, feature-extraction

βš™οΈ Technical Specs

params billions
1
context length
4,096
pipeline tag
sentence-similarity
vram gb
2
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
171

Data indexed from public sources. Updated daily.