🧠
Klyrune 2b General 1 model by Jahirrrr
⭐ 39.7
🧠
Model

Klyrune 2b General 1

by Jahirrrr jahirrrr/klyrune-2b-general-1
Free2AITools Nexus Index
39.7
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 29
P: Popularity 5
R: Recency 92
Q: Quality 65
Tech Context
2.52 Params
8.192K Ctx
Vital Performance
47 DL / 30D
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 39.7 FNI Score
Tiny 2.52B Params
8k Context
47 Downloads
8G GPU ~4GB Est. VRAM
Dense LLAMAFORCAUSALLM Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID jahirrrr/klyrune-2b-general-1
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~3.2GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{jahirrrr_klyrune_2b_general_1,
  author = {Jahirrrr},
  title = {Klyrune 2b General 1 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/Jahirrrr/Klyrune-2B-General-1}},
  note = {Accessed via Free2AITools.}
}
APA Style
Jahirrrr. (2026). Klyrune 2b General 1 [Model]. Free2AITools. https://huggingface.co/Jahirrrr/Klyrune-2B-General-1

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run klyrune-2b-general-1
πŸ€— HF Download
huggingface-cli download jahirrrr/klyrune-2b-general-1
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) 29
Popularity (P) 5
Recency (R) 92
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Klyrune 2b General 1: Authority (A:29), Popularity (P:5), Recency (R:92), 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.

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
47Downloads
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--jahirrrr--klyrune-2b-general-1
slug
jahirrrr--klyrune-2b-general-1
source
huggingface
author
Jahirrrr
license
Apache-2.0
tags
transformers, safetensors, llama, text-generation, klyrune, minicpm5, general-sft, conversational, en, base_model:openbmb/minicpm5-2b-base, base_model:finetune:openbmb/minicpm5-2b-base, license:apache-2.0, text-generation-inference, endpoints_compatible, region:us

βš™οΈ Technical Specs

architecture
LlamaForCausalLM
params billions
2.52
context length
8,192
pipeline tag
text-generation
vram gb
3.2
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
47

Data indexed from public sources. Updated daily.