🧠

Model

Hothun Stheno 3.2 V1.3 I1 Gguf

Name: Hothun Stheno 3.2 V1.3 I1 Gguf
Author: mradermacher

by mradermacher hf-model--mradermacher--hothun-stheno-3.2-v1.3-i1-gguf

Nexus Index

39.8 Top 100%

S: Semantic 50

A: Authority 0

P: Popularity 40

R: Recency 97

Q: Quality 30

Tech Context

Vital Performance

5.5K DL / 30D

0.0%

Source →

Audited 39.8 FNI Score

Tiny - Params

- Context

5.5K Downloads

Restricted CC License

Model Information Summary
Entity Passport
Registry ID	hf-model--mradermacher--hothun-stheno-3.2-v1.3-i1-gguf
License	CC-BY-NC-4.0
Provider	huggingface

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Cite this model

Academic & Research Attribution

BibTeX

@misc{hf_model__mradermacher__hothun_stheno_3.2_v1.3_i1_gguf,
  author = {mradermacher},
  title = {Hothun Stheno 3.2 V1.3 I1 Gguf Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/mradermacher/hothun-stheno-3.2-v1.3-i1-gguf}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}

APA Style

mradermacher. (2026). Hothun Stheno 3.2 V1.3 I1 Gguf [Model]. Free2AITools. https://huggingface.co/mradermacher/hothun-stheno-3.2-v1.3-i1-gguf

🔬Technical Deep Dive

Full Specifications [+]

Quick Commands

🤗 HF Download

huggingface-cli download mradermacher/hothun-stheno-3.2-v1.3-i1-gguf

📦 Install Lib

pip install -U transformers

⚖️ Nexus Index V2.0

Methodology Index Protocol

39.8

TOP 100% SYSTEM IMPACT

Semantic (S) 50

Authority (A) 0

Popularity (P) 40

Recency (R) 97

Quality (Q) 30

💬 Index Insight

FNI V2.0 for Hothun Stheno 3.2 V1.3 I1 Gguf: Semantic (S:50), Authority (A:0), Popularity (P:40), Recency (R:97), Quality (Q:30).

Free2AITools Nexus Index

Verification Authority

HuggingFace API GitHub Metadata Arxiv Citation DB System Audit

Unbiased Data Node Refresh: VFS Live

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🚀 What's Next?

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Technical Deep Dive

About

weighted/imatrix quants of https://huggingface.co/Mykee/HOTHUN-Stheno-3.2-v1.3

For a convenient overview and download list, visit our model page for this model.

static quants are available at https://huggingface.co/mradermacher/HOTHUN-Stheno-3.2-v1.3-GGUF

Usage

If you are unsure how to use GGUF files, refer to one of TheBloke's READMEs for more details, including on how to concatenate multi-part files.

Provided Quants

(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)

Link	Type	Size/GB	Notes
GGUF	imatrix	0.1	imatrix file (for creating your own quants)
GGUF	i1-IQ1_S	2.1	for the desperate
GGUF	i1-IQ1_M	2.3	mostly desperate
GGUF	i1-IQ2_XXS	2.5
GGUF	i1-IQ2_XS	2.7
GGUF	i1-IQ2_S	2.9
GGUF	i1-IQ2_M	3.0
GGUF	i1-Q2_K_S	3.1	very low quality
GGUF	i1-Q2_K	3.3	IQ3_XXS probably better
GGUF	i1-IQ3_XXS	3.4	lower quality
GGUF	i1-IQ3_XS	3.6
GGUF	i1-Q3_K_S	3.8	IQ3_XS probably better
GGUF	i1-IQ3_S	3.8	beats Q3_K*
GGUF	i1-IQ3_M	3.9
GGUF	i1-Q3_K_M	4.1	IQ3_S probably better
GGUF	i1-Q3_K_L	4.4	IQ3_M probably better
GGUF	i1-IQ4_XS	4.5
GGUF	i1-Q4_0	4.8	fast, low quality
GGUF	i1-IQ4_NL	4.8	prefer IQ4_XS
GGUF	i1-Q4_K_S	4.8	optimal size/speed/quality
GGUF	i1-Q4_K_M	5.0	fast, recommended
GGUF	i1-Q4_1	5.2
GGUF	i1-Q5_K_S	5.7
GGUF	i1-Q5_K_M	5.8
GGUF	i1-Q6_K	6.7	practically like static Q6_K

Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):

And here are Artefact2's thoughts on the matter: https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9

FAQ / Model Request

See https://huggingface.co/mradermacher/model_requests for some answers to questions you might have and/or if you want some other model quantized.

Thanks

I thank my company, nethype GmbH, for letting me use its servers and providing upgrades to my workstation to enable this work in my free time. Additional thanks to @nicoboss for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.

⚠️ 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 →

📝 Limitations & Considerations

• Benchmark scores may vary based on evaluation methodology and hardware configuration.
• VRAM requirements are estimates; actual usage depends on quantization and batch size.
• 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

5.5KDownloads

Hub Discussions

🤗 Data Source: Hugging Face ↗

🔄 Daily sync (03:00 UTC)

AI Summary: Based on Hugging Face metadata. Not a recommendation.

📊 FNI Methodology 📚 Knowledge Baseℹ️ Verify with original source

🛡️ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id: hf-model--mradermacher--hothun-stheno-3.2-v1.3-i1-gguf
slug: mradermacher--hothun-stheno-3.2-v1.3-i1-gguf
source: huggingface
author: mradermacher
license: CC-BY-NC-4.0
tags: transformers, gguf, not-for-all-audiences, hu, base_model:mykee/hothun-stheno-3.2-v1.3, base_model:quantized:mykee/hothun-stheno-3.2-v1.3, license:cc-by-nc-4.0, endpoints_compatible, region:us, imatrix, conversational

⚙️ Technical Specs

architecture: null
params billions: null
context length: null
pipeline tag

📊 Engagement & Metrics

downloads: 5,500
stars: 0
forks: 0

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