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Minicpm5 2b Pjev Lora model by adriandj3
⭐ 39
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Model

Minicpm5 2b Pjev Lora

by adriandj3 adriandj3/minicpm5-2b-pjev-lora
Free2AITools Nexus Index
39.0
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 33
P: Popularity 9
R: Recency 99
Q: Quality 65
Tech Context
2 Params
4.096K Ctx
Vital Performance
112 DL / 30D
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 39 FNI Score
Tiny 2B Params
4k Context
112 Downloads
8G GPU ~3GB Est. VRAM
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID adriandj3/minicpm5-2b-pjev-lora
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~2.8GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{adriandj3_minicpm5_2b_pjev_lora,
  author = {adriandj3},
  title = {Minicpm5 2b Pjev Lora Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/adriandj3/MiniCPM5-2B-pjev-LoRA}},
  note = {Accessed via Free2AITools.}
}
APA Style
adriandj3. (2026). Minicpm5 2b Pjev Lora [Model]. Free2AITools. https://huggingface.co/adriandj3/MiniCPM5-2B-pjev-LoRA

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run minicpm5-2b-pjev-lora
πŸ€— HF Download
huggingface-cli download adriandj3/minicpm5-2b-pjev-lora

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 33
Popularity (P) 9
Recency (R) 99
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Minicpm5 2b Pjev Lora: Authority (A:33), Popularity (P:9), Recency (R:99), 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
112Downloads
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--adriandj3--minicpm5-2b-pjev-lora
slug
adriandj3--minicpm5-2b-pjev-lora
source
huggingface
author
adriandj3
license
Apache-2.0
tags
peft, safetensors, gguf, lora, llama.cpp, decision-model, system-one, multiple-choice, agents, minicpm5, text-classification, en, base_model:openbmb/minicpm5-2b, base_model:adapter:openbmb/minicpm5-2b, license:apache-2.0, region:us

βš™οΈ Technical Specs

params billions
2
context length
4,096
pipeline tag
text-classification
vram gb
2.8
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
112

Data indexed from public sources. Updated daily.