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Qwen3.5 4b Artemis Gguf model by turintech
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Model

Qwen3.5 4b Artemis Gguf

by turintech turintech/qwen3.5-4b-artemis-gguf
Free2AITools Nexus Index
39.0
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 33
P: Popularity 25
R: Recency 100
Q: Quality 65
Tech Context
4 Params
4.096K Ctx
Vital Performance
876 DL / 30D
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 39 FNI Score
4B Params
4k Context
876 Downloads
8G GPU ~5GB Est. VRAM
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID turintech/qwen3.5-4b-artemis-gguf
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~4.3GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{turintech_qwen3_5_4b_artemis_gguf,
  author = {turintech},
  title = {Qwen3.5 4b Artemis Gguf Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/turintech/Qwen3.5-4B-Artemis-GGUF}},
  note = {Accessed via Free2AITools.}
}
APA Style
turintech. (2026). Qwen3.5 4b Artemis Gguf [Model]. Free2AITools. https://huggingface.co/turintech/Qwen3.5-4B-Artemis-GGUF

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run qwen3.5-4b-artemis-gguf
πŸ€— HF Download
huggingface-cli download turintech/qwen3.5-4b-artemis-gguf

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) 25
Recency (R) 100
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Qwen3.5 4b Artemis Gguf: Authority (A:33), Popularity (P:25), Recency (R:100), 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.

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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
876Downloads
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--turintech--qwen3.5-4b-artemis-gguf
slug
turintech--qwen3.5-4b-artemis-gguf
source
huggingface
author
turintech
license
Apache-2.0
tags
gguf, qwen, qwen3.5, llama.cpp, function-calling, text-generation, base_model:qwen/qwen3.5-4b, base_model:quantized:qwen/qwen3.5-4b, license:apache-2.0, endpoints_compatible, region:us, imatrix, conversational, model-index

βš™οΈ Technical Specs

params billions
4
context length
4,096
pipeline tag
text-generation
vram gb
4.3
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
876

Data indexed from public sources. Updated daily.