🧠
Deem 4b model by mertkayacs
⭐ 46.3
🧠
Model

Deem 4b

by mertkayacs mertkayacs/deem-4b
Free2AITools Nexus Index
46.3
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 29
P: Popularity 14
R: Recency 99
Q: Quality 65
Tech Context
4.54 Params
32.768K Ctx
Vital Performance
245 DL / 30D
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 46.3 FNI Score
4.54B Params
32k Context
245 Downloads
8G GPU ~6GB Est. VRAM
Dense QWEN3_5FORCONDITIONALGENERATION Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID mertkayacs/deem-4b
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~5.9GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{mertkayacs_deem_4b,
  author = {mertkayacs},
  title = {Deem 4b Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/mertkayacs/Deem-4B}},
  note = {Accessed via Free2AITools.}
}
APA Style
mertkayacs. (2026). Deem 4b [Model]. Free2AITools. https://huggingface.co/mertkayacs/Deem-4B

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run deem-4b
πŸ€— HF Download
huggingface-cli download mertkayacs/deem-4b
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) 14
Recency (R) 99
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Deem 4b: Authority (A:29), Popularity (P:14), 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
245Downloads
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--mertkayacs--deem-4b
slug
mertkayacs--deem-4b
source
huggingface
author
mertkayacs
license
Apache-2.0
tags
transformers, safetensors, qwen3_5, image-text-to-text, decision-model, jev, typesafe, system-one, calibration, conformal-prediction, reasoning, typed-decisions, qwen3.5, gguf, english, text-classification, en, tr, de, base_model:internlm/intern-decision-4b, base_model:finetune:internlm/intern-decision-4b, license:apache-2.0, endpoints_compatible, region:us, uncertainty, routing, triage, dataset:mertkayacs/jevalt-data, small-language-model, local-llm, on-device, english-llm

βš™οΈ Technical Specs

architecture
Qwen3_5ForConditionalGeneration
params billions
4.54
context length
32,768
pipeline tag
text-classification
vram gb
5.9
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 2GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
245

Data indexed from public sources. Updated daily.