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Minicpm5 1b Gguf model by openbmb
⭐ 59.5
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Model

Minicpm5 1b Gguf

by openbmb openbmb/minicpm5-1b-gguf
Free2AITools Nexus Index
59.5
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 55
P: Popularity 58
R: Recency 85
Q: Quality 65
Tech Context
1 Params
4.096K Ctx
Vital Performance
96.7K DL / 30D
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue
Low FNI signal 59.5 FNI Score
Tiny 1B Params
4k Context
Hot 96.7K Downloads
8G GPU ~2GB Est. VRAM
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID openbmb/minicpm5-1b-gguf
License Apache-2.0
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{openbmb_minicpm5_1b_gguf,
  author = {openbmb},
  title = {Minicpm5 1b Gguf Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/openbmb/MiniCPM5-1B-GGUF}},
  note = {Accessed via Free2AITools.}
}
APA Style
openbmb. (2026). Minicpm5 1b Gguf [Model]. Free2AITools. https://huggingface.co/openbmb/MiniCPM5-1B-GGUF

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run minicpm5-1b-gguf
πŸ€— HF Download
huggingface-cli download openbmb/minicpm5-1b-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) 55
Popularity (P) 58
Recency (R) 85
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Minicpm5 1b Gguf: Authority (A:55), Popularity (P:58), Recency (R:85), 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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Deployment reference

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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.
  • ⚠ License Unknown: Verify licensing terms before commercial use.

Social Proof

HuggingFace Hub
96.7KDownloads
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--openbmb--minicpm5-1b-gguf
slug
openbmb--minicpm5-1b-gguf
source
huggingface
author
openbmb
license
Apache-2.0
tags
transformers, gguf, minicpm, minicpm5, llama, text-generation, long-context, tool-calling, on-device, edge-ai, en, zh, dataset:openbmb/ultra-fineweb, dataset:openbmb/ultra-fineweb-l3, dataset:openbmb/ultradata-math, dataset:openbmb/ultradata-sft-2605, arxiv:2506.07900, arxiv:2602.09003, arxiv:2512.16649, arxiv:2604.13016, license:apache-2.0, endpoints_compatible, region:us, conversational

βš™οΈ Technical Specs

architecture
null
params billions
1
context length
4,096
pipeline tag
text-generation
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
96,707
stars
null
forks
null

Data indexed from public sources. Updated daily.