🧠
Vicuna 13b 4bit model by elinas
⭐ 24.5
🧠
Model

Vicuna 13b 4bit

by elinas elinas/vicuna-13b-4bit
Free2AITools Nexus Index
24.5
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 51
P: Popularity 2
R: Recency 8
Q: Quality 65
Tech Context
13 Params
8.192K Ctx
Vital Performance
20 DL / 30D
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 24.5 FNI Score
13B Params
8k Context
20 Downloads
24G GPU ~12GB Est. VRAM
Dense LLAMAFORCAUSALLM Architecture
Restricted OTHER License
Model Information Summary
Entity Passport
Registry ID elinas/vicuna-13b-4bit
License Other
Provider huggingface
πŸ’Ύ

Compute Threshold

~11.1GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{elinas_vicuna_13b_4bit,
  author = {elinas},
  title = {Vicuna 13b 4bit Model},
  year = {2023},
  howpublished = {\url{https://huggingface.co/elinas/vicuna-13b-4bit}},
  note = {Accessed via Free2AITools.}
}
APA Style
elinas. (2023). Vicuna 13b 4bit [Model]. Free2AITools. https://huggingface.co/elinas/vicuna-13b-4bit

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run vicuna-13b-4bit
πŸ€— HF Download
huggingface-cli download elinas/vicuna-13b-4bit
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) 51
Popularity (P) 2
Recency (R) 8
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Vicuna 13b 4bit: Authority (A:51), Popularity (P:2), Recency (R:8), 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.

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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
20Downloads
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--elinas--vicuna-13b-4bit
slug
elinas--vicuna-13b-4bit
source
huggingface
author
elinas
license
Other
tags
transformers, llama, text-generation, vicuna, gptq, license:other, endpoints_compatible, region:us

βš™οΈ Technical Specs

architecture
LlamaForCausalLM
params billions
13
context length
8,192
pipeline tag
text-generation
vram gb
11.1
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
20
stars
0
forks
0

Data indexed from public sources. Updated daily.