🧠
Alpaca 30b Lora Int4 model by elinas
⭐ 24.4
🧠
Model

Alpaca 30b Lora Int4

by elinas elinas/alpaca-30b-lora-int4
Free2AITools Nexus Index
24.4
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 52
P: Popularity 9
R: Recency 8
Q: Quality 65
Tech Context
30 Params
8.192K Ctx
Vital Performance
108 DL / 30D
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 24.4 FNI Score
30B Params
8k Context
108 Downloads
24G GPU ~24GB Est. VRAM
Dense LLAMAFORCAUSALLM Architecture
Restricted OTHER License
Model Information Summary
Entity Passport
Registry ID elinas/alpaca-30b-lora-int4
License Other
Provider huggingface
πŸ’Ύ

Compute Threshold

~23.8GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{elinas_alpaca_30b_lora_int4,
  author = {elinas},
  title = {Alpaca 30b Lora Int4 Model},
  year = {2023},
  howpublished = {\url{https://huggingface.co/elinas/alpaca-30b-lora-int4}},
  note = {Accessed via Free2AITools.}
}
APA Style
elinas. (2023). Alpaca 30b Lora Int4 [Model]. Free2AITools. https://huggingface.co/elinas/alpaca-30b-lora-int4

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run alpaca-30b-lora-int4
πŸ€— HF Download
huggingface-cli download elinas/alpaca-30b-lora-int4
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) 52
Popularity (P) 9
Recency (R) 8
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Alpaca 30b Lora Int4: Authority (A:52), Popularity (P:9), 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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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.

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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
108Downloads
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--alpaca-30b-lora-int4
slug
elinas--alpaca-30b-lora-int4
source
huggingface
author
elinas
license
Other
tags
transformers, pytorch, llama, text-generation, alpaca, gptq, license:other, text-generation-inference, endpoints_compatible, region:us

βš™οΈ Technical Specs

architecture
LlamaForCausalLM
params billions
30
context length
8,192
pipeline tag
text-generation
vram gb
23.8
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
108
stars
0
forks
0

Data indexed from public sources. Updated daily.