🧠
Mergekit 11 model by MergekitCloud
⭐ 41.6
🧠
Model

Mergekit 11

by MergekitCloud mergekitcloud/mergekit-11
Free2AITools Nexus Index
41.6
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 18
R: Recency 99
Q: Quality 65
Tech Context
8.03 Params
8.192K Ctx
Vital Performance
370 DL / 30D
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 41.6 FNI Score
8.03B Params
8k Context
370 Downloads
8G GPU ~8GB Est. VRAM
Dense LLAMAFORCAUSALLM Architecture
Model Information Summary
Entity Passport
Registry ID mergekitcloud/mergekit-11
Provider huggingface
πŸ’Ύ

Compute Threshold

~7.3GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{mergekitcloud_mergekit_11,
  author = {MergekitCloud},
  title = {Mergekit 11 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/MergekitCloud/mergekit-11}},
  note = {Accessed via Free2AITools.}
}
APA Style
MergekitCloud. (2026). Mergekit 11 [Model]. Free2AITools. https://huggingface.co/MergekitCloud/mergekit-11

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run mergekit-11
πŸ€— HF Download
huggingface-cli download mergekitcloud/mergekit-11
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) 0
Popularity (P) 18
Recency (R) 99
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Mergekit 11: Authority (A:0), Popularity (P:18), 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.
  • ⚠ License Unknown: Verify licensing terms before commercial use.

Social Proof

HuggingFace Hub
370Downloads
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--mergekitcloud--mergekit-11
slug
mergekitcloud--mergekit-11
source
huggingface
author
MergekitCloud
tags
transformers, safetensors, llama, text-generation, mergekit, merge, conversational, arxiv:2403.19522, base_model:arliai/llama-3.1-8b-arliai-rpmax-v1.3, base_model:undi95/llama3-unholy-8b-oas, base_model:merge:undi95/llama3-unholy-8b-oas, text-generation-inference, endpoints_compatible, region:us

βš™οΈ Technical Specs

architecture
LlamaForCausalLM
params billions
8.03
context length
8,192
pipeline tag
text-generation
vram gb
7.3
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
370

Data indexed from public sources. Updated daily.