🧠
Siq 1 35b Apex Gguf model by el4
⭐ 46.3
🧠
Model

Siq 1 35b Apex Gguf

by el4 el4/siq-1-35b-apex-gguf
Free2AITools Nexus Index
46.3
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 39
P: Popularity 17
R: Recency 95
Q: Quality 65
Tech Context
35 Params
4.096K Ctx
Vital Performance
356 DL / 30D
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 46.3 FNI Score
35B Params
4k Context
356 Downloads
H100+ ~29GB Est. VRAM
Model Information Summary
Entity Passport
Registry ID el4/siq-1-35b-apex-gguf
Provider huggingface
πŸ’Ύ

Compute Threshold

~28.8GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{el4_siq_1_35b_apex_gguf,
  author = {el4},
  title = {Siq 1 35b Apex Gguf Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/el4/SIQ-1-35B-APEX-GGUF}},
  note = {Accessed via Free2AITools.}
}
APA Style
el4. (2026). Siq 1 35b Apex Gguf [Model]. Free2AITools. https://huggingface.co/el4/SIQ-1-35B-APEX-GGUF

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run siq-1-35b-apex-gguf
πŸ€— HF Download
huggingface-cli download el4/siq-1-35b-apex-gguf

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 39
Popularity (P) 17
Recency (R) 95
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Siq 1 35b Apex Gguf: Authority (A:39), Popularity (P:17), Recency (R:95), 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
---

πŸš€ What's Next?

πŸ“Š

Models in this category

Browse models in the same category

⚑

Deployment reference

Understand deployment options

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
356Downloads
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--el4--siq-1-35b-apex-gguf
slug
el4--siq-1-35b-apex-gguf
source
huggingface
author
el4
tags
gguf, llama.cpp, imatrix, moe, reasoning, qwen3, text-generation, base_model:alexwortega/siq-1-35b, base_model:quantized:alexwortega/siq-1-35b, endpoints_compatible, region:us, conversational

βš™οΈ Technical Specs

params billions
35
context length
4,096
pipeline tag
text-generation
vram gb
28.8
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 2GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
356

Data indexed from public sources. Updated daily.